#graph library android

[govindhtech]

Obsidian And RTX AI PCs For Advanced Large Language Model

How to Utilize Obsidian‘s Generative AI Tools. Two plug-ins created by the community demonstrate how RTX AI PCs can support large language models for the next generation of app developers.

Obsidian Meaning

Obsidian is a note-taking and personal knowledge base program that works with Markdown files. Users may create internal linkages for notes using it, and they can see the relationships as a graph. It is intended to assist users in flexible, non-linearly structuring and organizing their ideas and information. Commercial licenses are available for purchase, however personal usage of the program is free.

Obsidian Features

Electron is the foundation of Obsidian. It is a cross-platform program that works on mobile operating systems like iOS and Android in addition to Windows, Linux, and macOS. The program does not have a web-based version. By installing plugins and themes, users may expand the functionality of Obsidian across all platforms by integrating it with other tools or adding new capabilities.

Obsidian distinguishes between community plugins, which are submitted by users and made available as open-source software via GitHub, and core plugins, which are made available and maintained by the Obsidian team. A calendar widget and a task board in the Kanban style are two examples of community plugins. The software comes with more than 200 community-made themes.

Every new note in Obsidian creates a new text document, and all of the documents are searchable inside the app. Obsidian works with a folder of text documents. Obsidian generates an interactive graph that illustrates the connections between notes and permits internal connectivity between notes. While Markdown is used to accomplish text formatting in Obsidian, Obsidian offers quick previewing of produced content.

Generative AI Tools In Obsidian

A group of AI aficionados is exploring with methods to incorporate the potent technology into standard productivity practices as generative AI develops and speeds up industry.

Community plug-in-supporting applications empower users to investigate the ways in which large language models (LLMs) might improve a range of activities. Users using RTX AI PCs may easily incorporate local LLMs by employing local inference servers that are powered by the NVIDIA RTX-accelerated llama.cpp software library.

It previously examined how consumers might maximize their online surfing experience by using Leo AI in the Brave web browser. Today, it examine Obsidian, a well-known writing and note-taking tool that uses the Markdown markup language and is helpful for managing intricate and connected records for many projects. Several of the community-developed plug-ins that add functionality to the app allow users to connect Obsidian to a local inferencing server, such as LM Studio or Ollama.

To connect Obsidian to LM Studio, just select the “Developer” button on the left panel, load any downloaded model, enable the CORS toggle, and click “Start.” This will enable LM Studio’s local server capabilities. Because the plug-ins will need this information to connect, make a note of the chat completion URL from the “Developer” log console (“http://localhost:1234/v1/chat/completions” by default).

Next, visit the “Settings” tab after launching Obsidian. After selecting “Community plug-ins,” choose “Browse.” Although there are a number of LLM-related community plug-ins, Text Generator and Smart Connections are two well-liked choices.

For creating notes and summaries on a study subject, for example, Text Generator is useful in an Obsidian vault.

Asking queries about the contents of an Obsidian vault, such the solution to a trivia question that was stored years ago, is made easier using Smart Connections.

Open the Text Generator settings, choose “Custom” under “Provider profile,” and then enter the whole URL in the “Endpoint” section. After turning on the plug-in, adjust the settings for Smart Connections. For the model platform, choose “Custom Local (OpenAI Format)” from the options panel on the right side of the screen. Next, as they appear in LM Studio, type the model name (for example, “gemma-2-27b-instruct”) and the URL into the corresponding fields.

The plug-ins will work when the fields are completed. If users are interested in what’s going on on the local server side, the LM Studio user interface will also display recorded activities.

Transforming Workflows With Obsidian AI Plug-Ins

Consider a scenario where a user want to organize a trip to the made-up city of Lunar City and come up with suggestions for things to do there. “What to Do in Lunar City” would be the title of the new note that the user would begin. A few more instructions must be included in the query submitted to the LLM in order to direct the results, since Lunar City is not an actual location. The model will create a list of things to do while traveling if you click the Text Generator plug-in button.

Obsidian will ask LM Studio to provide a response using the Text Generator plug-in, and LM Studio will then execute the Gemma 2 27B model. The model can rapidly provide a list of tasks if the user’s machine has RTX GPU acceleration.

Or let’s say that years later, the user’s buddy is visiting Lunar City and is looking for a place to dine. Although the user may not be able to recall the names of the restaurants they visited, they can review the notes in their vault Obsidian‘s word for a collection of notes to see whether they have any written notes.

A user may ask inquiries about their vault of notes and other material using the Smart Connections plug-in instead of going through all of the notes by hand. In order to help with the process, the plug-in retrieves pertinent information from the user’s notes and responds to the request using the same LM Studio server. The plug-in uses a method known as retrieval-augmented generation to do this.

Although these are entertaining examples, users may see the true advantages and enhancements in daily productivity after experimenting with these features for a while. Two examples of how community developers and AI fans are using AI to enhance their PC experiences are Obsidian plug-ins.

Thousands of open-source models are available for developers to include into their Windows programs using NVIDIA GeForce RTX technology.

Read more on Govindhtech.com

[siliconsignalsblog]

Tackling Android Automotive OS (AAOS): A Deep-Dive into Real-World App Integration by Silicon Signals

Recently, our Android team at Silicon Signals took on the challenge of integrating one of our legacy Android applications with Android Automotive OS (AAOS). While Google offers an integration guide for media apps, we faced a unique set of architectural and modular challenges that demanded custom solutions beyond the standard documentation.

Legacy Code Meets Modern Requirements

Platform Core (AAP): A modular structure with minimal interdependency, housing player integration, networking, and persistent storage logic.

App Core (AAL): A tightly coupled structure responsible for the app’s front-end, business logic, and APK generation across multiple app stores.

Most new features lived in AAL, which was deeply dependent on AAP. As we evaluated the AAOS requirements, we realized a naive approach—building AAOS as a feature module on top of the existing base—would bloat the app size, introduce unnecessary dependencies, and increase the risk of breaking functionality due to updates meant for mobile or tablet versions.

Engineering the Right Solution

Rather than layering AAOS on top of our legacy architecture, we rethought the structure:

Extracted our MediaBrowserServiceCompat implementation into a new standalone module called mediabrowser.

mediabrowser was designed to depend only on what AAOS needed—like playback, library access, and media session handling.

Created a new top-level module, automotiveos, which handles AAOS-specific UI, settings, and authentication.

Reconfigured Dagger dependency injection to support this new architecture.

This refactor allowed us to decouple AAOS from the legacy mobile architecture, reduce app size, and future-proof the codebase.

The Real Work: Migration and Refactoring

Moving MediaBrowserServiceCompat out of the core base module revealed deep legacy dependencies. The refactor touched over 140 files. But the modular outcome was worth it.

Then came the Dagger challenge. Our new automotiveos module lacked over 150 bindings previously handled by other modules. We tackled this by:

Creating custom or stub implementations where needed.

Moving reusable logic to common modules.

Abstracting app-specific logic into the appropriate module.

We categorized dependencies smartly and rebuilt the graph with minimal disruption.

Lessons Learned

Creating an abstract MediaBrowserServiceCompat layer helped isolate AAOS and mobile behaviors.

Testing across multiple AAOS devices is essential due to platform inconsistencies.

Clear internal documentation and nomenclature (AAOS ≠ Android Auto) avoided confusion.

🚗 Building Android Automotive Solutions with Silicon Signals

At Silicon Signals, we don’t just follow the guide — we re-architect for performance, maintainability, and scale. Whether you’re modernizing a legacy Android app or launching your first AAOS product, we bring deep expertise in modular architecture, embedded systems, and real-time media integration.

📩 Ready to bring your AAOS product to life? Let's talk! 📧 info@siliconsignals.io 🌐 www.siliconsignals.io

[roseliejack123]

Understanding Java Platforms: SE, EE, ME, and JavaFX

Java is one of the most versatile and widely used programming languages in the world. Its "Write Once, Run Anywhere" (WORA) capability allows developers to create applications that can run on any platform with a Java Virtual Machine (JVM).

Enrolling in a Java Training in Bangalore significantly enhances one’s ability to leverage Java’s capabilities effectively.

To cater to different development needs, Java is divided into four key platforms: Java SE, Java EE, Java ME, and JavaFX. Each platform is designed for specific use cases and provides the necessary libraries and tools to simplify development. Let’s take a closer look at each of these platforms.

1. Java SE (Java Standard Edition)

Java SE forms the core of the Java programming language. It includes the basic libraries and APIs needed for developing general-purpose desktop and server-side applications. Java SE provides essential features such as object-oriented programming (OOP), multithreading, collections framework, and input/output (I/O) handling. It also includes the Java Development Kit (JDK), Java Runtime Environment (JRE), and Java Virtual Machine (JVM), which allow developers to write, compile, and run Java applications. Java SE is the foundation upon which other Java platforms are built.

Key Features:

Core libraries (java.lang, java.util, etc.)

Networking and file handling

Multithreading and exception handling

Java Database Connectivity (JDBC) for database access

2. Java EE (Java Enterprise Edition) – Now Jakarta EE

Java EE builds on Java SE and is designed for creating large-scale, secure, and distributed enterprise applications. It includes additional libraries and APIs for handling complex business logic, database transactions, and web services. Java EE supports technologies like Servlets, JavaServer Pages (JSP), Enterprise JavaBeans (EJB), and Java Persistence API (JPA). It is widely used for building web-based applications, enterprise software, and cloud-based solutions.

Key Features:

Web services and RESTful APIs

Dependency injection and transaction management

Messaging and security

Scalability and distributed processing

3. Java ME (Java Micro Edition)

Java ME is a lightweight version of Java designed for mobile devices, embedded systems, and Internet of Things (IoT) applications.

It’s simpler to master this tool and progress your profession with the help of Best Online Training & Placement Programs, which provide thorough instruction and job placement support to anyone seeking to improve their talents.

It provides a simplified runtime environment and compact libraries tailored for devices with limited processing power and memory. Java ME is often used in embedded systems like smart cards, wearables, and industrial automation. While its use has declined with the rise of Android, it remains relevant in resource-constrained environments.

Key Features:

Lightweight runtime environment

Optimized for low-power devices

Basic user interface support

Networking and data storage for small devices

4. JavaFX

JavaFX is a modern platform for creating rich client applications with advanced graphical user interfaces (GUIs). It offers a set of graphics and media APIs for developing visually appealing desktop and web applications. JavaFX supports features like 2D and 3D graphics, animation, and audio and video playback. It also allows developers to create responsive user interfaces using CSS-based styling and FXML for UI layout.

Key Features:

Modern UI components

Support for animations and multimedia

CSS-based styling

Scene graph and 3D rendering

Conclusion

Java’s adaptability across different platforms makes it a powerful language for various development needs. Whether you’re building a simple desktop application with Java SE, a complex business solution with Java EE, an embedded system with Java ME, or a rich user interface with JavaFX, the Java ecosystem provides the tools and frameworks necessary for success. Understanding these platforms helps developers choose the right technology stack for their projects, ensuring efficient and scalable development.

[fromdevcom]

Most mobiles phone software are built on JavaScript. These mobile phones have lots of applications that are useful. Hence keeping that in mind, more and more applications are getting developed based on JavaScript. The most popular framework that is used in JavaScript is jQuery. Most of the UI of the Java applications are built using this particular framework. jQuery UI is the collection of animated visual effects, themes and GUI widgets. JQuery along with jQuery UI are the open source and free software that are distributed by jQuery Foundation.Here is alist of some of the popular jQuery based UI frameworks JQueryUI If you want to know the current trend in jQuery the best example is the official jQuery UI project. Not only it has useful components but also it is free to use. The notable components of the jQuery UI are Tree View, Combo and Form Widgets, Color Picker, Charts, File Uploader, RTL Support and Validation. It is an open source license and the user can get professional support for commercial use only. This UI is integrated with technologies like asp.net and PHP. It is a common code-based UI and has similar look and feel across all the components and widgets. The widgets of this UI are rich in feature and new features get added on regular basis. It is also compatible across various devices, platforms and browsers. Kendo UI It is one of the modern and rich in feature frameworks that is used for developing many mobile and web applications. There are full sets of powerful HTML5 widgets and interactions. These sets can either be used in combination or single in order to create the interaction for application development. One of the components of this is Kendo UI Web. As the name suggests this set contains everything that are required to build a modern website. This is a combination of powerful network and high-end widgets. It has RTL and MVVM support for better functionality. Another one in the set is Kendo UI Mobile. This is an advanced mobile framework that is used for building native-like mobile apps and website. It supports iOS, Android, Blackberry and WP8. Kendo UI DataViz can create data visualization in no time. Kendo UI has open source as well as commercial licensing to suite all enterprise needs. Zino UI It is a compact UI library that is based on jQuery. There are about 30 WAI-ARAI accessible interactions and widgets. This particular UI is developed on the best and most advanced JavaScript techniques. This UI has cross-platform components. It possesses JavaScript Charting widget that is useful in creating accessible and interactive data visualization. If you want to draw two-dimensional vector graphics a micro-library called SVG Graph Tool is there for you. Canvas micro-library helps you in creating 2D shapes, texts and bitmap images. Zino UI enables you to easy work with live datasets, which includes local JavaScript array, JSON and XML. Apart from these Zino UI also has PHP Server Wrapper, Tree View, Slide Show, Data Table and many others including uploader functionality. JQuery Easy UI If you want build a modern, cross-browser and interactive JavaScript application jQuery Easy UI provides you the easy to use components. It is regarded as the feature-rich widget that has lot of interactive components. These components are based on popular jQuery codes and HTML5. The best part is these components enable the user to use them in a group or they can use the codes that are required for them. Few of the essential most important features of this UI are Panel, Layout, Window, which are the UI design widgets. DataGrid, PropertyGrid, Tree and TreeGrid are the other few components of this UI. It also has advanced combo widgets like ComboTree and ComboGrid. Easy UI also offers good set of easy to use themes and theme builders. Twitter Bootstrap If you are looking for an intuitive, sleek and powerful frontend framework for web development Boots trap is the name that you can trust.

This is the most popular JavaScript, CSS and HTML5 framework that is being used for developing most responsive mobile first projects on the web. This tool works on every desktop browser including IE7. It is packed with features. It has 12-column responsive grids along with dozens of other components and JavaScript plugins. Typography, web-based customizer and form controls make it the choice of every web developer. The components available in Bootstrap are reusable and they also provide navigation, alerts and popovers. You can also paginate, add labels and badges along with button groups and dropdowns using this frontend framework. JQ Widgets For professional mobile apps and web applications jQ Widgets are the best choice. These widgets are based upon the comprehensive framework of jQuery. It is based completely upon the open source technologies like SVG, JavaScript, CSS

[manavrachnaonlinedegreecourses]

Essential Programming Skills You’ll Learn in an MCA Online Degree

The Master of Computer Applications online degree is designed to equip students with strong programming skills. It prepares them for careers in software development and IT consulting. It also trains them for emerging tech domains. The curriculum includes foundational programming languages and advanced coding concepts. They also learn core software development methodologies. Here is a look at the key programming skills you will master during an MCA online degree.

1. Object-Oriented Programming and Core Java

Java is a standard in UGC-approved online degree courses in India due to its prevalence in enterprise software and Android app development. You will study:

OOP principles such as encapsulation, inheritance, polymorphism, and abstraction.

Java frameworks such as Spring and Hibernate for web development.

Exception handling and multithreading to develop efficient, stable applications.

2. Python and Data Science Basics

Due to the increasing significance of AI, data science, and machine learning, MCA courses focus on Python programming. You will study:

Python syntax and libraries for data manipulation.

Machine learning fundamentals using Scikit and TensorFlow.

Automation and scripting to improve software development productivity.

3. Web Development: Frontend and Backend Programming

Web development is a critical component of an MCA curriculum, including:

Frontend technologies: HTML, CSS, JavaScript, React, and Angular.

Backend programming: PHP, Node.js, Django, and Express.js.

Database interaction with SQL, MongoDB, and Firebase.

4. Data Structures and Algorithms (DSA)

DSA is the foundation of programming for optimising code and enhancing system performance. Major topics are:

Sorting and searching algorithms (QuickSort, MergeSort, Binary Search).

Graph algorithms (Dijkstra's algorithm, BFS, DFS).

Dynamic programming to efficiently solve complex computational problems.

5. Database Management and SQL

UGC-approved online degree courses in India cover SQL and NoSQL databases to manage structured and unstructured data. You will work with:

Relational databases: MySQL, PostgreSQL.

NoSQL databases: MongoDB, Cassandra.

Database optimisation techniques for efficient query execution.

6. Mobile App Development

Most MCA graduates opt for mobile app development learning:

Android app development with Java/Kotlin.

iOS development with Swift.

Cross-platform tools such as Flutter and React Native.

Final Thoughts

An online MCA degree offers exhaustive programming knowledge that equips you with practical solutions to real-world software development problems. To become a full-stack developer, AI expert, or cybersecurity analyst, these skills will leave you well-positioned in the technology sector.

[brookewalkerblog]

Mobile App Development Solutions: The AI Revolution

In today's rapidly evolving tech landscape, integrating artificial intelligence (AI) into mobile applications has become a game-changer. As an AI-powered app developer, selecting the right framework is crucial to creating intelligent, efficient, and user-friendly applications. This article delves into some of the Top AI frameworks that can elevate your AI-powered app development solutions and help you build cutting-edge apps.

TensorFlow

Developed by the Google Brain team, TensorFlow is an open-source library designed for dataflow and differentiable programming. It's widely used for machine learning applications and deep neural network research. TensorFlow supports multiple languages, including Python, C++, and Java, and is compatible with platforms like Linux, macOS, Windows, Android, and iOS (via TensorFlow Lite). Its flexibility and scalability make it a preferred choice for many developers. However, beginners might find its learning curve a bit steep, and some operations can be less intuitive compared to other frameworks.

PyTorch

Backed by Facebook's AI Research lab, PyTorch is an open-source machine learning library that offers a dynamic computational graph and intuitive interface. It's particularly favored in academic research and is gaining traction in industry applications. PyTorch supports Python and C++ and is compatible with Linux, macOS, and Windows. Its dynamic nature allows for real-time debugging, and it boasts a strong community with extensive resources. On the flip side, PyTorch's deployment options were previously limited compared to TensorFlow, though recent developments have bridged this gap.

Keras

Keras is a high-level neural networks API that runs on top of TensorFlow. It’s user-friendly, modular, and extensible, making it ideal for rapid prototyping. Keras supports Python and is compatible with Linux, macOS, and Windows. Its simplicity and ease of use are its main strengths, though it may not offer the same level of customization as lower-level frameworks.

Microsoft Cognitive Toolkit (CNTK)

CNTK is an open-source deep-learning framework developed by Microsoft. It allows for efficient training of deep learning models and is highly optimized for performance. CNTK supports Python, C++, and C# and is compatible with Linux and Windows. Its performance optimization is a significant advantage, but it has a smaller community compared to TensorFlow and PyTorch, which might limit available resources.

Apache MXNet

Apache MXNet is a flexible and efficient deep learning framework supported by Amazon. It supports both symbolic and imperative programming, making it versatile for various use cases. MXNet supports multiple languages, including Python, C++, Java, and Scala, and is compatible with Linux, macOS, and Windows. Its scalability and multi-language support are notable benefits, though it has a less extensive community compared to some other frameworks.

Caffe

Developed by the Berkeley Vision and Learning Center, Caffe is a deep learning framework focused on expression, speed, and modularity. It's particularly well-suited for image classification and convolutional neural networks. Caffe supports C++, Python, and MATLAB and is compatible with Linux, macOS, and Windows. Its speed and efficiency are its main advantages, but it may not be as flexible for tasks beyond image processing.

Flutter

Flutter is an open-source UI framework developed by Google that enables developers to build native mobile apps for both Android and iOS. It works great even for mobile app development solutions requiring high-performance rendering, complex custom UI, and heavy animations. Flutter’s benefits include a single codebase for multiple platforms, a rich set of pre-designed widgets, and a hot-reload feature for rapid testing. However, its relatively young ecosystem means fewer libraries and resources compared to more established frameworks.

Softr

Softr is recognized for its ease of use and speed in building AI-powered applications. It allows developers to create applications without extensive coding, making it accessible for those looking to implement AI features quickly. While it offers rapid development capabilities, it might lack the depth of customization available in more code-intensive frameworks.

Microsoft PowerApps

Microsoft PowerApps enables the creation and editing of applications with AI integration. It's part of the Microsoft Power Platform and allows for seamless integration with other Microsoft services. This framework is beneficial for enterprises already utilizing Microsoft products, offering a cohesive environment for app development. However, it may present limitations when integrating with non-Microsoft services.

Google AppSheet

Google AppSheet is designed to turn spreadsheets into applications, providing a straightforward way to create data-driven apps. It’s particularly useful for businesses looking to mobilize their data without extensive development efforts. While it’s excellent for simple applications, it may not be suitable for more complex app development needs.

Choosing the Right Framework

Selecting the appropriate framework depends on various factors, including your project requirements, team expertise, and the specific features you intend to implement. Here are some considerations:

Project Complexity: For complex projects requiring deep customization, frameworks like TensorFlow or PyTorch might be more suitable.

Development Speed: If rapid development is a priority, tools like Flutter or Softr can expedite the process.

Platform Compatibility: Ensure the framework supports the platforms you’re targeting, whether it’s Android, iOS, or both.

Community Support: A robust community can be invaluable for troubleshooting and finding resources. Frameworks like TensorFlow and PyTorch have extensive communities.

Integration Needs: Consider how well the framework integrates with other tools and services you plan to use.

Conclusion

In conclusion, the landscape of AI-powered app development solutions offers a variety of frameworks tailored to different needs. Whether you're searching for the Best free AI app builder or exploring an AI framework list to refine your approach, making the right choice depends on your specific development goals. By carefully evaluating your project’s requirements and the strengths of each framework, you can choose the most suitable tools to create innovative and efficient applications.

[mobappdevelopmentcompany]

The Flutter App Development Journey from Concept to Launch

Mobile applications have become so essential to our lives that it’s almost impossible to function without them. But have you ever wondered how a mobile app idea is transformed into a full-fledged software product? This post will walk you through the app development process, focusing on Flutter, one of the most popular technologies in mobile app development.

Why is Flutter a smart choice?

With this Google-developed powerful UI toolkit, you to create stunning, natively compiled apps for mobile, web, and desktop—all from a single codebase. A report published by the popular research portal Statista in June 2024 states: ‘’ Flutter is the most sought-after cross-platform framework globally; with 46% of developers using this technology in the time period of 2019 to 2023”.

Cross-Platform Development: With Flutter, you can develop apps for both iOS and Android simultaneously, saving time and resources.

Speedy Development: Thanks to Flutter’s hot-reload feature, developers can view the changes in real time, leading to a faster development process.

Rich UI Components: Flutter comes with a vast library of customizable widgets; developers can utilize these to create visually appealing and highly responsive apps.

Strong Community and Support: Being backed by Google, Flutter boasts of a huge community, extensive documentation, and continuous updates.

Flutter App Lifecycle Phases

Take a peek through the fundamental aspects of Flutter app development.

Conceptualizing Your App

Create comprehensive wireframes or sketches to visualize the structure and user flow.

The Design Phase

Make the app look catchy and create a seamless and intuitive UX. Focus on the layout, color schemes, typography, and overall aesthetics.

Development: Bringing Your App to Life

Now that you have a solid concept and design in place, your app’s functionality is built and transformed from an idea into a working product.

Widgets (building blocks of a Flutter app)

Developers use widgets to create every component of the application right from simple buttons to complex layouts. The Dart programming language is used to write code for creating widgets and implementing features.

Built-in libraries offered by the Flutter ecosystem

bottom_navy_bar for sleek navigation bars

intro_slider for onboarding experiences

local_auth for integrating biometric authentication

fl_chart for creating dynamic charts and graphs

cached_network_image library for handling image caching and loading

Pre-built widgets offered by the Flutter ecosystem

Text for displaying text

Container for creating layout structures

Stack for layering widgets on top of each other.

Testing During the development phase

It's crucial to test the app during development to identify and resolve any issues early on. Flutter’s hot-reload feature is a game-changer in this regard, allowing developers to make quick adjustments and view the results immediately, without the need to restart the entire app.

Testing, Debugging, and QA

Developers perform unit tests, integration tests, and user acceptance testing (UAT) to identify and fix bugs, optimize performance, and ensure the app functions as expected. Flutter’s testing framework allows for efficient testing of individual widgets, app functionalities, and the entire application.

Debugging goes on throughout the development and testing phases. Flutter provides various debugging tools that help developers track down issues, optimize code, and ensure that the app runs smoothly across different devices and platforms.

Launch: Introducing Your App to the World

Deployment of the app to Google Play Store or/and Apple App Store and ASO (App Store Optimization) to promote the app to your target audience.

Post-launch Maintenance

The journey doesn’t end here. Post-launch, it’s crucial to monitor the app’s performance, gather user feedback, and release updates to improve functionality and user experience. Flutter’s flexibility makes it easier to roll out updates and new features, ensuring that your app stays relevant and competitive in the market.

Here’s an example of how to develop, test, and deploy a Flutter app

Step # 1 Configuring the Development Environment

Download the Flutter SDK Flutter’s official Flutter website and then install it.

Use an IDE (Integrated Development Environment) like Android Studio, Visual Studio Code, or IntelliJ IDEA. These IDEs have Flutter and Dart plugins available.

Set up an Android emulator or iOS simulator, or use a physical device to facilitate testing.

Step # 2 Budling a New Flutter Project

Open your IDE and use the IDE’s interface or the command line to create a new Flutter project. flutter create project_name

Now, navigate to your project directory: cd project_name

Open the project in your IDE.

Step # 3 Understanding the Project Structure

lib/main.dart is the application’s entry point.

The file pubspec.yaml manages the assets, dependencies, and other configurations of the app.

Android and iOS folders: Contain platform-specific code.

Step # 4 Developing the Application

Use Flutter’s widget tree structure to design the UI. Flutter’s MaterialApp, Scaffold, Container, Text, Image, and other widgets come in handy when crafting the app’s UI.

Manage the app’s state using tools like setState, InheritedWidget, Provider, Riverpod, or Bloc.

Modify pubspec.yaml to include the necessary libraries and packages; then run the command: flutter pub get

Step # 5 Testing

Using the IDE’s debugging tools, set breakpoints, inspect variables, and debug the app; and then, run your app on an emulator or a physical device using this command: flutter run. Write unit tests, integration tests, and widget tests to ensure QA.

Unit Testing:

Create a test file in the test/ directory, e.g., test/widget_test.dart.

Write a simple test:

import 'package:flutter_test/flutter_test.dart';

import 'package:my_flutter_app/main.dart';

void main() {

  testWidgets('Check Hello, World! text', (WidgetTester tester) async {

    await tester.pumpWidget(MyApp());

    expect(find.text('Hello, World!'), findsOneWidget);

  });

}

Now, use the flutter test command to run this test.

Integration Testing:

Create an integration test under the integration_test/ directory, e.g., integration_test/app_test.dart.

Example integration test:

import 'package:flutter_test/flutter_test.dart';

import 'package:integration_test/integration_test.dart';

import 'package:my_flutter_app/main.dart';

void main() {

  IntegrationTestWidgetsFlutterBinding.ensureInitialized();

  testWidgets('Integration test', (WidgetTester tester) async {

    await tester.pumpWidget(MyApp());

    expect(find.text('Hello, World!'), findsOneWidget);

  });

}

Run the integration test using the command: flutter drive --target=integration_test/app_test.dart

Step # 6 Building the App for Release

For Android: Set up signing for your app by configuring the key.properties file.

Use the below command to create the APK or app bundle.

flutter build apk

flutter build appbundle

For iOS: Configure app signing in Xcode and build the app for iOS with this command: flutter build ios

Step # 7 Deployment

Android Deployment:

Update the android/app/build.gradle file with your app’s version and other configurations. Build the APK: flutter build apk –release Locate the APK at build/app/outputs/flutter-apk/app-release.apk and distribute it via the Play Store.

iOS Deployment:

Open the ios/ directory in Xcode. Update the app’s version, build number, and other settings in the project settings. Archive the app and distribute it via the App Store.

web Deployment:

If you’re targeting the web, build the web app: flutter build web The output will be in the build/web/ directory. Now, you can host the application on the web server of your choice.

Step # 8 Post-deployment Maintenance

Keep an eye on user feedback, monitor performance, and roll out the necessary updates whenever needed using the same process for building and deploying.

Step # 7: Deployment (CI/CD) and Ongoing Integration

Set up CI/CD pipelines for automated testing and deployment using tools like GitHub Actions, Bitrise, or Codemagic. Integrate services like Firebase Analytics and Crashlytics for monitoring the app in production.

Example GitHub Actions workflow:

name: Flutter CI

on: [push]

jobs:

  build:

    runs-on: ubuntu-latest

    steps:

    - uses: actions/checkout@v2

    - uses: subosito/flutter-action@v1

      with:

        flutter-version: '2.5.0'

    - run: flutter pub get

    - run: flutter test

    - run: flutter build apk --release

End Note

A Flutter app’s journey from concept to launch is a complex yet rewarding process requiring a blend of creativity, technical expertise, and strategic planning. Engaging software development professionals to guide and execute the workflow ensures a smoother and more successful outcome.

Whether you’re a startup looking to break into the app market or an established business aiming to expand your digital presence, Flutter provides the tools you need to turn your app idea into reality. So, what’s your next big app idea?

[likitakans]

🌟 10 Must-Have Android Development Tools & Libraries That Will Revolutionize Your Coding Game! 🚀

As an Android developer, having the right set of tools and libraries can significantly enhance your productivity and the quality of your applications. In this blog post, we'll explore ten essential tools and libraries that will take your Android development to the next level.

1. Android Studio

The official Integrated Development Environment (IDE) for Android development, Android Studio is packed with features like code editing, debugging, and testing tools. With its robust IntelliJ IDEA foundation, it provides a seamless and powerful environment for building high-quality Android apps.

Key Features:

Intelligent code editor with auto-completion

Advanced code refactoring and analysis tools

Visual layout editor

Built-in emulator for testing

Support for Kotlin, Java, and C++

2. Kotlin

Kotlin is a modern, statically typed programming language that is fully interoperable with Java. It offers concise syntax, improved type inference, and enhanced null safety, making it a favorite among Android developers.

Key Benefits:

Reduced boilerplate code

Improved readability and maintainability

Fully supported by Google for Android development

3. Retrofit

Retrofit is a type-safe HTTP client for Android and Java, developed by Square. It simplifies the process of making API calls, handling responses, and parsing JSON data.

Key Features:

Easy integration with REST APIs

Supports request and response serialization

Built-in support for authentication and headers

4. Room

Room is a part of the Android Jetpack suite, providing an abstraction layer over SQLite to allow fluent database access while harnessing the full power of SQLite.

Key Features:

Simplified database operations

Compile-time verification of SQL queries

Integration with LiveData and Flow for reactive programming

5. Dagger

Dagger is a fully static, compile-time dependency injection framework for Java and Android. It helps manage complex dependency graphs in large applications.

Key Benefits:

Compile-time validation of dependencies

Reduction in boilerplate code

Improved performance with optimized generated code

6. Glide

Glide is a fast and efficient image loading library for Android. It focuses on smooth scrolling and supports fetching, decoding, and displaying video stills, images, and animated GIFs.

Key Features:

Memory and disk caching

Automatic image resizing and transformations

Simple API for loading images from various sources

7. Firebase

Firebase is a comprehensive app development platform provided by Google. It offers a suite of cloud-based tools and services to help you build high-quality apps.

Key Features:

Real-time database and Firestore for data storage

Authentication services

Analytics for tracking user behavior

Cloud messaging for push notifications

8. RxJava

RxJava is a library for composing asynchronous and event-based programs using observable sequences. It helps manage asynchronous operations in a clean and concise way.

Key Benefits:

Simplifies threading and scheduling

Composable operations for handling complex asynchronous logic

Integration with Retrofit for API calls

9. LeakCanary

LeakCanary is a memory leak detection library for Android. It automatically detects memory leaks in your app and provides detailed information to help you fix them.

Key Features:

Automatic detection and reporting of memory leaks

Easy integration and setup

Detailed leak trace to identify the source of the leak

10. Espresso

Espresso is a testing framework for Android that makes it easy to write reliable user interface tests. It provides a simple and consistent API to simulate user interactions.

Key Features:

Fast and reliable UI tests

Automatic synchronization with the UI thread

Support for writing concise and readable tests

Conclusion

Incorporating these tools and libraries into your Android development workflow will not only improve your coding efficiency but also enhance the performance and quality of your applications. Whether you're a seasoned developer or just starting, these must-have tools will revolutionize your coding game and help you build better Android apps. Happy coding! 🚀

Feel free to share your experiences with these tools or suggest any other essential tools in the comments below!

[airdrop2000]

OpenPose vs. MediaPipe: In-Depth Comparison for Human Pose Estimation

Developing programs that comprehend their environments is a complex task. Developers must choose and design applicable machine learning models and algorithms, build prototypes and demos, balance resource usage with solution quality, and ultimately optimize performance. Frameworks and libraries address these challenges by providing tools to streamline the development process. This article will examine the differences between OpenPose vs MediaPipe, two prominent frameworks for human pose estimation, and their respective functions. We'll go through their features, limitations, and use cases to help you decide which framework is best suited for your project.

Understanding OpenPose: Features, Working Mechanism, and Limitations

At Saiwa , OpenPose is a real-time multi-person human pose detection library developed by researchers at Carnegie Mellon University. It has made significant strides in accurately identifying human body, foot, hand, and facial key points in single images. This capability is crucial for applications in various fields, including action recognition, security, sports analytics, and more. OpenPose stands out as a cutting-edge approach for real-time human posture estimation, with its open-sourced code base well-documented and available on GitHub. The implementation uses Caffe, a deep learning framework, to construct its neural networks.

Key Features of OpenPose

OpenPose boasts several noteworthy features, including:

- 3D Single-Person Keypoint Detection in Real-Time: Enables precise tracking of individual movements.

- 2D Multi-Person Keypoint Detections in Real-Time: Allows simultaneous tracking of multiple people.

- Single-Person Tracking: Enhances recognition and smooth visuals by maintaining continuity in tracking.

- Calibration Toolkit: Provides tools for estimating extrinsic, intrinsic, and distortion camera parameters.

How OpenPose Works: A Technical Overview

OpenPose employs various methods to analyze human positions, which opens the door to numerous practical applications. Initially, the framework extracts features from an image using the first few layers. These features are then fed into two parallel convolutional network branches.

- First Branch: Predicts 18 confidence maps corresponding to unique parts of the human skeleton.

- Second Branch: Predicts 38 Part Affinity Fields (PAFs) that indicate the relationship between parts.

Further steps involve cleaning up the estimates provided by these branches. Confidence maps are used to create bipartite graphs between pairs of components, and PAF values help remove weaker linkages from these graphs.

Limitations of OpenPose

Despite its capabilities, OpenPose has some limitations:

- Low-Resolution Outputs: Limits the detail level in keypoint estimates, making OpenPose less suitable for applications requiring high precision, such as elite sports and medical evaluations.

- High Computational Cost: Each inference costs 160 billion floating-point operations (GFLOPs), making OpenPose highly inefficient in terms of resource usage.

Exploring MediaPipe: Features, Working Mechanism, and Advantages

MediaPipe is a cross-platform pipeline framework developed by Google for creating custom machine-learning solutions. Initially designed to analyze YouTube videos and audio in real-time, MediaPipe has been open-sourced and is now in the alpha stage. It supports Android, iOS, and embedded devices like the Raspberry Pi and Jetson Nano.

Key Features of MediaPipe

MediaPipe is divided into three primary parts:

1. A Framework for Inference from Sensory Input: Facilitates real-time processing of various data types.

2. Tools for Performance Evaluation: Helps in assessing and optimizing system performance.

3. A Library of Reusable Inference and Processing Components: Provides building blocks for developing vision pipelines.

How MediaPipe Works: A Technical Overview

MediaPipe allows developers to prototype a vision pipeline incrementally. The pipeline is described as a directed graph of components, where each component, known as a "Calculator," is a node. Data "Streams" connect these calculators, representing time series of data "Packets." The calculators and streams collectively define a data-flow graph, with each input stream maintaining its queue to enable the receiving node to consume packets at its rate. Calculators can be added or removed to improve the process gradually. Developers can also create custom calculators, and MediaPipe provides sample code and demos for Python and JavaScript.

MediaPipe Calculators: Core Components and Functionality

Calculators in MediaPipe are specific C++ computing units assigned to tasks. Data packets, such as video frames or audio segments, enter and exit through calculator ports. The framework integrates Open, Process, and Close procedures for each graph run. For example, the ImageTransform calculator receives an image as input and outputs a transformed version, while the ImageToTensor calculator accepts an image and produces a tensor.

MediaPipe vs. OpenPose: A Comprehensive Comparison

When comparing MediaPipe and OpenPose, several factors must be considered, including performance, compatibility, and application suitability.

Performance: Efficiency and Real-Time Capabilities

MediaPipe offers end-to-end acceleration for ML inference and video processing, utilizing standard hardware like GPU, CPU, or TPU. It supports real-time performance and can handle complex, dynamic behavior and streaming processing. OpenPose, while powerful, is less efficient in terms of computational cost and may not perform as well in resource-constrained environments.

Compatibility: Cross-Platform Support and Integration

MediaPipe supports a wide range of platforms, including Android, iOS, desktop, edge, cloud, web, and IoT, making it a versatile choice for various applications. Its integration with Google's ecosystem, particularly on Android, enhances its compatibility. OpenPose, though also cross-platform, may appeal more to developers seeking strong GPU acceleration capabilities.

Application Suitability: Use Cases and Industry Applications

- Real-Time Human Pose Estimation: Both frameworks excel in this area, but MediaPipe's efficiency and versatility make it a better choice for applications requiring real-time performance.

- Fitness Tracking and Sports Analytics: MediaPipe offers accurate and efficient tracking, making it ideal for fitness and sports applications. OpenPose's lower resolution outputs might not provide the precision needed for detailed movement analysis.

- Augmented Reality (AR): MediaPipe's ability to handle complex, dynamic behavior and its support for various platforms make it suitable for AR applications.

- Human-Computer Interaction: MediaPipe's versatility and efficiency in processing streaming time-series data make it a strong contender for applications in human-computer interaction and gesture recognition.

Conclusion: Making an Informed Choice Between MediaPipe and OpenPose

Choosing between MediaPipe and OpenPose depends on the specific needs of your project. Both frameworks offer unique advantages, but MediaPipe stands out for its efficiency, versatility, and wide platform support. OpenPose, with its strong GPU acceleration capabilities, remains a popular choice for projects that can accommodate its computational demands.

By assessing your project's requirements, including the intended deployment environment, hardware preferences, and desired level of customization, you can make an informed decision on which framework to use. Both MediaPipe and OpenPose represent significant advancements in human pose estimation technology, empowering a wide range of applications and experiences in computer vision.

[mobileappdevelopmentsolution]

How to Build a Fitness App with Kotlin?

With rising health awareness worldwide, fitness app development solutions have become exceedingly popular lately. People want to better track their physical activities, workouts, calories burnt and overall health right from their mobile devices. To create a fitness app can thus be a lucrative endeavor for many app developers today. 

In this detailed guide, we will explore how to build your own fitness app using Kotlin programming language and integrate it with Wear OS smartwatches for enhanced user experience.

Why Kotlin is a Great Choice for Building Android Fitness Apps 

When it comes to choosing a language for developing Android apps, Kotlin has emerged as the top choice in recent years vs the traditionally popular Java language. Kotlin is a modern statically typed language that runs smoothly on the Java Virtual Machine (JVM). It provides a more concise and safe syntax over Java which allows fitness app developers to express their app logic easily resulting in more readable and maintainable code. 

Here are some of the major advantages of using Kotlin for fitness app development:

Firstly, Kotlin requires much less boilerplate code compared to Java. Kotlin code is more expressive and compact. This allows fitness app developers to capture complex program logic in a few lines of code instead of dozens of lines in Java. 

Secondly, Kotlin's strong static type system and null safety features eliminate many common errors like null pointer exceptions leading to fewer crashes and improved app stability. 

Next, Kotlin offers complete interoperability with existing Java frameworks and libraries. So fitness app developers can conveniently leverage the rich Android ecosystem and resources built with Java. 

Moreover, Kotlin supports useful functional programming constructs like higher-order functions and lambdas. This functional style allows crafting app logic in a declarative manner and is very useful for implementing complex logic concisely. 

Finally, the syntax of Kotlin is quite similar to Java and other modern languages so Java developers can quickly become productive in Kotlin without learning from scratch.

Must-Have Features and Capabilities of a Fitness Tracking App

Fitness app development solutions today are relied upon by millions of users worldwide to stay on top of their health and wellness routine. So the app should provide a rich feature set to fulfill most tracking needs of users. 

Here are some of the major capabilities users expect in a competent fitness tracking app:

The app should enable flexible logging of a wide variety of fitness activities like walking, jogging, running, cycling, gym workouts, yoga, swimming and more. This is the primary functionality users need for recording their exercise sessions. The app should also provide intuitive stats and analytics to the user like activity duration, calories burnt, heart rate trends, body measurements and progress over time. This data can be presented via interactive charts and graphs. Another popular feature is social sharing which lets users share their activities and achievements on social media. This allows users to motivate each other towards their fitness goals.

Furthermore, integration with wearable devices like fitness bands is a must-have. This allows the app to seamlessly capture detailed activity data like steps taken, distance covered, heart rate automatically from such devices. The app also needs to send smart reminders and notifications to the user so that they stay consistent with their fitness routine even amidst busy schedules. Next, providing user accounts and profile is vital for storing user data like weight, height and other attributes securely on cloud. Lastly, the app can incorporate gamification elements like rewards, badges and leaderboard to boost user engagement over the long term.

The app can begin with developing these core capabilities in the MVP and subsequently enhance it by adding more advanced analytics and guidance features.

Architecting the App with Kotlin - Key Components and Patterns

When building the architecture for a Kotlin based fitness app, fitness app developers must pay attention to crafting different layers holding distinct responsibilities. 

Here are some key components and patterns to consider when structuring the app architecture:

A robust persistence layer forms the backbone of the app for managing storage and retrieval of data. For local data storage on app, fitness app developers can use Room Persistence Library which provides convenient object relational mapping and a fluent SQLite database access API. Room database is an excellent choice for caching app data locally. Shared Preferences is another simple key-value storage useful for persistently storing app settings and user preferences. 

For remote cloud storage, Firebase Realtime Database or Cloud Firestore are excellent choices. They simplify building flexible cloud backends for syncing user data across devices.

Next, the app needs a clean UI layer containing Kotlin classes like Activities, Fragments and Views that define the visual interface. Kotlin Android Extensions can be used for type-safe View binding. Important components here include the MainActivity housing app navigation, detail fragments to show drill-down stats for each activity type, input fragments so users can log new activities easily, and RecyclerView adapters that populate the list of activities. Material design components and patterns should be leveraged to craft intuitive and user-friendly UI/UX. 

Then the logic layer coordinates key app capabilities like tracking user activities, calculating health stats, sending notifications, integrating with wearables etc. Kotlin classes like ViewModels, database entities, utility classes, Services and BroadcastReceivers comprise this layer. ViewModels manage UI data and handle user actions, Services perform background jobs like data syncing, AlarmManager schedules vital background jobs while Wear API helps exchange data between handset and wearable device.

Testing is absolutely crucial - unit tests, instrumentation tests, UI tests help catch bugs early. Kotlin coroutines provide excellent concurrency support for writing asynchronous tests.

By segregating components into distinct layers and leveraging patterns like MVVM, Repository pattern - fitness app development solutions can incorporate new features with minimal fuss.

Conclusion

To summarize, here are some key highlights about engineering a fitness tracking app with Kotlin:

Using Kotlin over Java enhances developer productivity and enables building stable, smooth Android apps.

Must-have features include flexible activity tracking, analytics, device integration, notifications and more.

Architect app using MVVM, repository pattern for clean separation of concerns.

Integrate wearables for unlocking enhanced tracking capabilities.

Distribute app via multiple channels for maximum reach.

However, there are certain limitations too. The app would require constant updates to fix bugs and remain competitive. Server costs need to be managed, especially if user base scales massively. Maintaining platform compatibility across Android versions poses challenges. Securing user data is a constant requirement.

Nonetheless, with careful planning and execution, building successful fitness app development solutions with Kotlin is certainly achievable. The potential for innovation in this space is immense when it comes to devising features that truly empower users in leading fitter, healthier lives.

Consagous Technologies is a leading mobile app development company with expertise in Kotlin and end-to-end app engineering. We build high-quality, user-centric apps for clients across fitness, banking, retail and other industries. Our designers, fitness app developers and QA experts are adept at translating app ideas into successful commercial apps using Kotlin, Swift, React Native and other technologies. 

Contact us to bring your app vision to life.

[this-week-in-rust]

This Week in Rust 517

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Official

Foundation

Q3 2023 Recap from Rebecca Rumbul

Newsletters

This Month in Rust OSDev: September 2023

Project/Tooling Updates

Announcing EtherCrab, a Rust implementation of the EtherCAT industrial automation protocol

rust-analyzer changelog #203

Observations/Thoughts

Why async Rust?

Compile Times and Code Graphs

Containerize Rust applications on Ubuntu & Alpine, with GitHub Actions

Rust Walkthroughs

A type level contains operation for heterogeneous list using associated types

Using GraphQL in Rust

Writing parsers in Winnow

Research

Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language

Fast Summary-based Whole-program Analysis to Identify Unsafe Memory Accesses in Rust

Miscellaneous

Eurorust reflections

EuroRust 2023 Reflections: What's a Conference For?

[audio] RustShip: Graphite - Raster and Vector Graphics in Rust

Crate of the Week

This week's crate is rinf, a library to write Rust in Flutter.

Thanks to Kim Dong-Hyun for the self-suggestion!

Please submit your suggestions and votes for next week!

Call for Participation

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

* Hyperswitch (Hacktoberfest) - [OpenNode] Currency Unit Conversion * Hyperswitch (Hacktoberfest) - [Stax] Currency Unit Conversion * Hyperswitch (Hacktoberfest) - [ACI] Currency Unit Conversion * Ockam - Make ockam space show (no args) interactive by asking the user to choose from a list of space names to show (tuify) * Ockam - Improve ockam tcp-inlet delete --help text (clap command) * Ockam - Enroll "email: '+' character not allowed"

If you are a Rust project owner and are looking for contributors, please submit tasks here.

Updates from the Rust Project

409 pull requests were merged in the last week

const_eval: allow function pointer signatures containing &mut T in const contexts

rustc_hir_pretty cleanups

add Config::hash_untracked_state callback

add the V (vector) extension to the riscv64-linux-android target spec

also consider call and yield as MIR SSA

broaden the consequences of recursive TLS initialization

cleanup rustc_features some more

compute NLL loan scopes using the polonius model

const-eval: allow calling functions with targat features disabled at compile time in WASM

const-eval: make misalignment a hard error

coverage: separate initial span extraction from span processing

detect ruby-style closure in parser

do not check for impossible predicates in const-prop lint

don't UB on dangling ptr deref, instead check inbounds on projections

exhaustiveness: rework constructor splitting

explicitly handle auto trait leakage in coherence

fix exit status / wait status on non-Unix cfg(unix) platforms

fix overflow checking in range patterns

handle several #[diagnostic::on_unimplemented] attributes correctly

implement -Clink-self-contained=-linker opt out

improve check-cfg diagnostics

improve handling of assertion failures with very long conditions

in smir use FxIndexMap to store indexed ids

linker: also pass debuginfo compression flags

make "request changes" reviews apply S-waiting-on-author

on type error involving closure, avoid ICE

on type error of closure call argument, point at earlier calls that affected inference

opt-dist: disable unused features for tabled crate

pass rustc shim flags using environment variable

prevent more spurious unreachable pattern lints

prevent showing methods from blanket impls of not available foreign traits to show up in the search results

prevent spurious unreachable pattern lints

relate alias ty with variance

remove DefiningAnchor::Bubble from opaque wf check

show enum discriminant if a compatible repr is used

stabilize async fn and return-position impl Trait in trait

structurally normalize for closure

suggest adding return if the for semi which can coerce to the fn return type

suggest labeling block if break is in bare block

suggest trait bounds for used associated type on type param

support AIX in Rust standard library

use PatKind::Error when an ADT const value has violation

use env variable to control thread ids in rustc_log

add ability to get lines/filename for Span in smir

miri: implement llvm.x86.sse41.* intrinsics

miri: make NaN generation non-deterministic

copy 1-element arrays as scalars, not vectors

optimize librustc_driver.so with BOLT

optimize file read in Config::verify

optimize zipping over array iterators

stabilize atomic_from_ptr

stabilize const_maybe_uninit_assume_init_read

stabilize {IpAddr, Ipv6Addr}::to_canonical

impl Not, Bit{And,Or}{,Assign} for IP addresses

impl Default for ExitCode

add invariant to Vec::pop that len < cap if pop successful

implement BufRead for VecDeque<u8>

implement OnceCell/Lock::try_insert()

implement slice::split_once and slice::rsplit_once

add explicit-endian String::from_utf16 variants

implement FusedIterator for DecodeUtf16 when the inner iterator does

implement sys::args for UEFI

inline Bytes::next and Bytes::size_hint

make try_exists return Ok(true) for Windows Unix Sockets

mark new_in as const for BTree collections

regex-automata/meta: revert broadening of reverse suffix optimization

regex-lite: tweak nest limit on stack overflow test

regex: loosen ASCII compatible rules + improve reverse suffix optimization

regex, regex-automata: fix compilation of doctests on 32-bit architectures

regex-lite: fix compilation of doctests on 32-bit architectures

regex: revert recent regex-syntax interval set optimizations

cargo: fix(install): Suggest an alternative version on MSRV failure

cargo: add detailed message when target folder path is invalid

cargo: add package name and version to warning messages

cargo: support public dependency configuration with workspace deps

rustfmt: support let-chains

rustdoc-search: add impl disambiguator to duplicate assoc items

rustdoc: hide #[repr(transparent)] if it isn't part of the public ABI

rustdoc: show crate name beside smaller logo

clippy: get_first: lint on non-primitive slices

clippy: manual_is_ascii_check: Also check for is_ascii_hexdigt

clippy: unnecessary_lazy_eval: reduce applicability if closure has return type annotation

clippy: fix ICE in internal author lint

rust-analyzer: add replace_is_ok_with_if_let_ok assist

rust-analyzer: add replace_is_some_with_if_let_some assist

rust-analyzer: add diagnostics messages for chars and byte literal errors

rust-analyzer: make cursor select at _tmp

rust-analyzer: string literals diagnose

Rust Compiler Performance Triage

Overall an interesting week performance wise, with small improvements to a vast number of benchmarks seeming to outweigh an isolated set of (slightly) larger regressions. It included a number of PRs regressed instruction counts but did not matter for cycle times, plus one mysterious regression to check_match and mir_borrowck from reworking constructor splitting (see report on PR 116391 for details), and an awesome broad set of improvements from automatically inlining small functions across crates (see report on PR 116505 for details).

Triage done by @pnkfelix. Revision range: 84d44dd1..b9832e72

4 Regressions, 1 Improvements, 4 Mixed; 3 of them in rollups 84 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

[disposition: merge] 2024 Edition

Tracking Issues & PRs

[disposition: merge] Tracking Issue for result_option_inspect

[disposition: merge] Allow partially moved values in match

[disposition: merge] read_dir has unexpected behavior for ""

[disposition: merge] rustdoc: align stability badge to baseline instead of bottom

New and Updated RFCs

[new] RFC: Superseding public/private dependencies

[new] add float semantics RFC

[new] Reserve gen keyword in 2024 edition and start an experiment implementation of Iterator generators

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2023-10-18 - 2023-11-15 🦀

Virtual

2023-10-18 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

Operating System Primitives (Atomics & Locks Chapter 8)

2023-10-18 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Pinning

2023-10-19 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-10-19 | Virtual (Stuttgart, DE) | Rust Community Stuttgart

Rust-Meetup

2023-10-24 | Virtual (Berlin, DE) | OpenTechSchool Berlin

Rust Hack and Learn | Mirror

2023-10-24 | Virtual (Washington, DC, US) | Rust DC

Month-end Rusting—Fun with 🍌 and 🔎!

2023-10-31 | Virtual (Dallas, TX, US) | Dallas Rust

Last Tuesday

2023-11-01 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

ECS with Bevy Game Engine

2023-11-01 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - with Social Distancing

2023-11-02 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2023-11-09 | Virtual (Nuremberg, DE) | Rust Nuremberg

Rust Nürnberg online

2023-11-15 | Virtual (Cardiff, UK)| Rust and C++ Cardiff

Building Our Own Locks (Atomics & Locks Chapter 9)

2023-11-15 | Virtual (Richmond, VA, US) | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

Asia

2023-10-18 | Tokyo, JP | Tokyo Rust Meetup

Rust and the Age of High-Integrity Languages

2023-10-20 | Singapore, SG | Rust Meetup Singapore

Rust meetup @ Google Developer Space

2023-10-21 | Pune, IN | Rust Pune

Rust 101 and Decoding Fearless Concurrency

Europe

2023-10-19 | Amsterdam, NL | Rust Developers Amsterdam Group

Rust Amsterdam Meetup @ Terraform

2023-10-19 | Wrocław, PL | Rust Wrocław

Rust Meetup #35

2023-10-20 | Saarbrücken, DE | Rust-Saar

Rustlings Live Coding Session

2023-10-24 | Bucharest, RO | Rust Lang Bucharest Meetup

Rust Bucharest Meetup #4

2023-10-25 | Dublin, IE | Rust Dublin

Biome, web development tooling with Rust

2023-10-25 | Paris, FR | Rust Paris

Rust for the web - Paris meetup #61

2023-10-25 | Zagreb, HR | impl Zagreb for Rust

Rust Meetup 2023/10: Lunatic

2023-10-26 | Augsburg, DE | Rust - Modern Systems Programming in Leipzig

Augsburg Rust Meetup #3

2023-10-26 | Delft, NL | Rust Nederland

Rust at TU Delft

2023-10-26 | Lille, FR | Rust Lille

Rust Lille #4 at SFEIR

2022-10-30 | Stockholm, SE | Stockholm Rust

Rust Meetup @Aira + Netlight

2023-11-01 | Cologne, DE | Rust Cologne

Rust-Meetup November, Save the date

2023-11-07 | Brussels, BE | Rust Aarhus

Rust Aarhus - Rust and Talk beginners edition

2023-11-09 | Barcelona, ES | BcnRust

11th BcnRust Meetup

2023-11-09 | Reading, UK | Reading Rust Workshop

Reading Rust Meetup at Browns

North America

2023-10-18 | Brookline, MA, US | Boston Rust Meetup

Boston University Rust Lunch

2023-10-19 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2023-10-19 | Nashville, TN, US | Music City Rust Developers

Rust Goes Where It Pleases Pt2 - Rust on the front end!

2023-10-19 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group - October Meetup

2023-10-24 | Pasadena, CA, US | Pasadena Thursday Go/Rust

Monthly Rust group

2023-10-25 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

2023-10-25 | Chicago, IL, US | Deep Dish Rust

Rust Happy Hour

2023-11-04 | Boulder, CO, US | Boulder Rust Meetup

Let's make a Discord bot!

2023-11-15 | Richmond, VA, US + Virtual | Linux Plumbers Conference

Rust Microconference in LPC 2023 (Nov 13-16)

Oceania

2023-10-17 | Christchurch, NZ | Christchurch Rust Meetup Group

Christchurch Rust meetup meeting

2023-10-9 | Sydney, NSW, AU | Rust Sydney

Demolition Day 🤯

2023-10-26 | Brisbane, QLD, AU | Rust Brisbane

October Meetup

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

When your Rust build times get slower after adding some procedural macros:

We call that the syn tax 🦀

– janet on fosstodon.org

Thanks to Jacob Pratt for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[r2consulting]

Battle Royale: Comparing and Contrasting Hubs, Dashboards, and Platforms in Software

Table Of contents

Introduction

Hubs

Dashboards

Platforms

Comparing and Contrasting

Final Thoughts

Introduction

In the ever-evolving landscape of software development and data management, various components play pivotal roles in facilitating operations, enabling data-driven decision-making, and supporting application development. Three essential elements in this ecosystem are hubs, dashboards, and platforms. In this article, we’ll delve into the characteristics, purposes, and functionalities of each, highlighting the key differences and similarities among them.

Hubs

A software hub acts as a central point for data or information aggregation, routing, and distribution. It serves as an intermediary between different systems, applications, or devices, ensuring seamless communication and data exchange. Here’s a closer look at hubs:

Purpose:

Hubs primarily facilitate the exchange of data and information among disparate entities.

They streamline data flow, allowing efficient communication between connected components.

Hubs play a crucial role in orchestrating data integration processes.

Functionality:

Data routing and transformation: Hubs ensure data reaches the right destination in a compatible format.

Mediation: They mediate communication between various systems with different protocols.

Scalability: Hubs can scale to accommodate increasing data volumes and new connections.

Message Brokers: Apache Kafka and RabbitMQ.

IoT Hubs: Microsoft Azure IoT Hub.

API Gateways: Amazon API Gateway.

Dashboards

Dashboards are user interfaces that provide visual representations of data, metrics, and insights. They offer a concise and comprehensible way to monitor, analyze, and interpret data. Key aspects of dashboards include:

Purpose:

Dashboards are designed to present data and key performance indicators (KPIs) in an easily understandable format.

They support real-time monitoring, historical analysis, and decision-making.

Data visualization: Dashboards employ charts, graphs, and tables to convey information.

Interactivity: Users can interact with dashboards, drilling down for more details or adjusting settings.

Customization: Dashboards can be tailored to display specific data relevant to users’ needs.

Examples:

Business Intelligence Tools: Tableau, Power BI, and QlikView.

Data Visualization Libraries: D3.js, Chart.js.

Project Management Dashboards: Trello boards, Asana.

Platforms

Software platforms provide comprehensive environments or infrastructures that support the development, deployment, and management of software applications. They serve as a foundation for building and running various software solutions. Key characteristics of platforms include:

Purpose:

Platforms offer a robust foundation for software development and deployment.

They provide a range of tools, services, and capabilities to support application lifecycle management.

Development tools: Platforms offer integrated development environments (IDEs) and software development kits (SDKs).

Hosting and scalability: They provide hosting services, ensuring applications can scale as needed.

Security and compliance: Platforms often include security features and compliance standards.

Examples:

Cloud Computing Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure.

Mobile App Development Platforms: Android Studio, Xcode.

Blockchain Platforms: Ethereum, Hyperledger Fabric.

Comparing and Contrasting

Now, let’s compare and contrast hubs, dashboards, and platforms:

Centralization:

Hubs centralize data and communication.

Dashboards centralize data visualization and presentation.

Platforms centralize development and infrastructure resources.

Purpose:

Hubs focus on data exchange and integration.

Dashboards concentrate on data visualization and analysis.

Platforms provide a foundation for software development and deployment.

Functionality:

Hubs route and transform data.

Dashboards visualize data.

Platforms offer development, hosting, and management capabilities.

Examples:

Hubs: Kafka (message broker), Azure IoT Hub (IoT hub).

Dashboards: Tableau (business intelligence), D3.js (data visualization).

Platforms: AWS (cloud computing), Android Studio (mobile app development).

Final Thoughts

Hubs, dashboards, and platforms are distinct components within the software ecosystem, each serving specific purposes and functions. While hubs enable data exchange, dashboards provide data visualization, and platforms offer comprehensive development environments. Understanding these differences is crucial when architecting software solutions, as they play complementary roles in building robust and efficient systems. Whether you’re streamlining data flow, visualizing business metrics, or developing innovative applications, these software components will remain indispensable in your toolkit.

[technicjelle]

Custom Android to Arduino Communication

Today I spent the evening (~6 hours) writing a custom Android app to connect my Arduino to with a custom program for that one too, so I can read and graph the values from its joystick:

No PC required! Just power to the Arduino.

It works over Wi-Fi with Web Sockets, with the phone being the server, and the Arduino being the client.

The code of this project is quite horrible, so I'm not publishing it this time. Also because it's basically just two library examples mashed together plus one of my lecture code samples, so hardly any of this is actually my own code.

[fromdevcom]

Most mobiles phone software are built on JavaScript. These mobile phones have lots of applications that are useful. Hence keeping that in mind, more and more applications are getting developed based on JavaScript. The most popular framework that is used in JavaScript is jQuery. Most of the UI of the Java applications are built using this particular framework. jQuery UI is the collection of animated visual effects, themes and GUI widgets. JQuery along with jQuery UI are the open source and free software that are distributed by jQuery Foundation.Here is alist of some of the popular jQuery based UI frameworks JQueryUI If you want to know the current trend in jQuery the best example is the official jQuery UI project. Not only it has useful components but also it is free to use. The notable components of the jQuery UI are Tree View, Combo and Form Widgets, Color Picker, Charts, File Uploader, RTL Support and Validation. It is an open source license and the user can get professional support for commercial use only. This UI is integrated with technologies like asp.net and PHP. It is a common code-based UI and has similar look and feel across all the components and widgets. The widgets of this UI are rich in feature and new features get added on regular basis. It is also compatible across various devices, platforms and browsers. Kendo UI It is one of the modern and rich in feature frameworks that is used for developing many mobile and web applications. There are full sets of powerful HTML5 widgets and interactions. These sets can either be used in combination or single in order to create the interaction for application development. One of the components of this is Kendo UI Web. As the name suggests this set contains everything that are required to build a modern website. This is a combination of powerful network and high-end widgets. It has RTL and MVVM support for better functionality. Another one in the set is Kendo UI Mobile. This is an advanced mobile framework that is used for building native-like mobile apps and website. It supports iOS, Android, Blackberry and WP8. Kendo UI DataViz can create data visualization in no time. Kendo UI has open source as well as commercial licensing to suite all enterprise needs. Zino UI It is a compact UI library that is based on jQuery. There are about 30 WAI-ARAI accessible interactions and widgets. This particular UI is developed on the best and most advanced JavaScript techniques. This UI has cross-platform components. It possesses JavaScript Charting widget that is useful in creating accessible and interactive data visualization. If you want to draw two-dimensional vector graphics a micro-library called SVG Graph Tool is there for you. Canvas micro-library helps you in creating 2D shapes, texts and bitmap images. Zino UI enables you to easy work with live datasets, which includes local JavaScript array, JSON and XML. Apart from these Zino UI also has PHP Server Wrapper, Tree View, Slide Show, Data Table and many others including uploader functionality. JQuery Easy UI If you want build a modern, cross-browser and interactive JavaScript application jQuery Easy UI provides you the easy to use components. It is regarded as the feature-rich widget that has lot of interactive components. These components are based on popular jQuery codes and HTML5. The best part is these components enable the user to use them in a group or they can use the codes that are required for them. Few of the essential most important features of this UI are Panel, Layout, Window, which are the UI design widgets. DataGrid, PropertyGrid, Tree and TreeGrid are the other few components of this UI. It also has advanced combo widgets like ComboTree and ComboGrid. Easy UI also offers good set of easy to use themes and theme builders. Twitter Bootstrap If you are looking for an intuitive, sleek and powerful frontend framework for web development Boots trap is the name that you can trust.

This is the most popular JavaScript, CSS and HTML5 framework that is being used for developing most responsive mobile first projects on the web. This tool works on every desktop browser including IE7. It is packed with features. It has 12-column responsive grids along with dozens of other components and JavaScript plugins. Typography, web-based customizer and form controls make it the choice of every web developer. The components available in Bootstrap are reusable and they also provide navigation, alerts and popovers. You can also paginate, add labels and badges along with button groups and dropdowns using this frontend framework. JQ Widgets For professional mobile apps and web applications jQ Widgets are the best choice. These widgets are based upon the comprehensive framework of jQuery. It is based completely upon the open source technologies like SVG, JavaScript, CSS

[techdirectarchive]

How to Implement interactive authentication by using MSAL.NET

How to Implement interactive authentication by using MSAL.NET

MSAL is the acronym for Microsoft Authentication Library, according to Microsoft, (MSAL) can be used to provide secure access to Microsoft Graph, other Microsoft APIs, third-party web APIs, or your own web API. MSAL supports many different application architectures and platforms including .NET, JavaScript, Java, Python, Android, and iOS. Microsoft provides a powerful identity ecosystem, but…

[softnquebd]

Complete Flutter and Dart Roadmap 2020

Mohammad Ali Shuvo

Oct 30, 2020·4 min read

DART ROADMAP

Basics

Arrays, Maps

Classes

Play On Dart Compiler

String Interpolation

VARIABLES

var

dynamic

int

String

double

bool

runes

symbols

FINAL AND CONST

differences

const value and const variable

NUMBERS

hex

exponent

parse methods

num methods

math library

STRINGS

methods

interpolation

multi-line string

raw string

LISTS

List (Fixed and Growable)

methods

MAPS

Map (Fixed and Growable)

methods

SETS

Set ((Fixed and Growable)

methods

FUNCTIONS

Function as a variabl

optional and required parameters

fat arrow

named parameters

@required keyword

positional parameters

default parameter values

Function as first-class objects

Anonymous functions

lexical scopes

Lexical closures

OPERATORS

unary postfix expr++ expr — () [] . ?.

unary prefix -expr !expr ~expr ++expr — expr await expr

multiplicative * / % ~/

additive + -

shift << >> >>>

bitwise AND &

bitwise XOR ^

bitwise OR |

relational and type test >= > <= < as is is!

equality == !=

logical AND &&

logical OR ||

if null ??

conditional expr1 ? expr2 : expr3

cascade ..

assignment = *= /= += -= &= ^= etc.

CONTROL FLOW STATEMENTS

if and else

for loops

while and do-while

break and continue

switch and case

assert

EXCEPTIONS (ALL ARE UNCHECKED)

Throw

Catch

on

rethrow

finally

CLASSES

Class members

Constructors

Getting object type

instance variables

getters and setters

Named constructors

Initializer lists

Constant constructors

Redirecting constructors

Factory constructors

instance methods

abstract methods

abstract classes

Inheritance

Overriding

Overriding operators

noSuchMethod()

Extension methods

Enums

Mixins (on keyword in mixins)

Static keyword, static variables and methods

GENERICS

Restricting the parameterized type

Using generic methods

LIBRARIES AND VISIBILITY

import

as

show

hide

deferred

ASYNCHRONY SUPPORT

Futures

await

async

Streams

Stream methods

OTHER TOPICS

Generators

Callable classes

Isolates

Typedefs

Metadata

Custom annotation

Comments, Single-line comments, Multi-line comments, Documentation comments

OTHER KEYWORDS FUNCTIONS

covariant

export

external

part

sync

yield

FLUTTER ROADMAP

Flutter Installation (First App)

Flutter Installation

Basic Structure

Android Directory Structure

iOS Directory Structure

BASICS

MaterialApp

Scaffold

AppBar

Container

Icon

Image

PlaceHolder

RaisedButton

Text

RichText

STATELESS AND STATEFULWIDGETS

Differences

When To Use?

How To Use?

Add Some Functionality

INPUT

Form

Form Field

Text Field

TextEditing Controller

Focus Node

LAYOUTS

Align

Aspect Ratio

Baseline

Center

Constrained Box

Container

Expanded

Fitted Box

FractionallySizedBox

Intrinsic Height

Intrinsic Width

Limited Box

Overflow Box

Padding

Sized Box

SizedOverflowBox

Transform

Column

Flow

Grid View

Indexed Stack

Layout Builder

List Body

List View

Row

Stack

Table

Wrap

Safe Area

MATERIAL COMPONENTS

App bar

Bottom Navigation Bar

Drawer

Material App

Scaffold

SliverAppBar

TabBar

TabBarView

WidgetsApp

NAVIGATOR

pop

Routes

Bottom Navigation

Drawer

Create Multipage App

popUntil

canPop

push

pushNamed

popAndPushNamed

replace

pushAndRemoveUntil

NavigatorObserver

MaterialRouteBuilder

BUTTONS

ButtonBar

DropdownButton

FlatButton

FloatingActionButton

IconButton

OutlineButton

PopupMenuButton

RaisedButton

INPUT AND SELECTIONS

Checkbox

Date & Time Pickers

Radio

Slider

Switch

DIALOGS, ALERTS, AND PANELS

AlertDialog

BottomSheet

ExpansionPanel

SimpleDialog

SnackBar

INFORMATION DISPLAYS

Card

Chip

CircularProgressIndicator

DataTable

LinearProgressIndicator

Tooltip

LAYOUT

Divider

ListTile

Stepper

SCROLLING

CustomScrollView

NestedScrollView

NotificationListener

PageView

RefreshIndicator

ScrollConfiguration

Scrollable

Scrollbar

SingleChildScrollView

Theory …

Flutter -Inside View

Dart

Skia Engine

Performance

Comparison

App Built In Flutter

OTHER USEFUL WIDGETS

MediaQuery

LayoutBuilder

OrientationBuilder

FutureBuilder

StreamBuilder

DraggableScrollableSheet

Learn How to Use Third Party Plugins

CUPERTINO (IOS-STYLE) WIDGETS

CupertinoActionSheet

CupertinoActivityIndicator

CupertinoAlertDialog

CupertinoButton

CupertinoContextMenu

CupertinoDatePicker

CupertinoDialog

CupertinoDialogAction

CupertinoNavigationBar

CupertinoPageScaffold

CupertinoPicker

CupertinoPageTransition

CupertinoScrollbar

CupertinoSegmentedControl

CupertinoSlider

CupertinoSlidingSegmentedControl

CupertinoSwitch

CupertinoTabBar

CupertinoTabScaffold

CupertinoTabView

CupertinoTextField

CupertinoTimerPicker

ANIMATIONS

Ticker

Animation

AnimationController

Tween animation

Physics-based animation

AnimatedWidget

AnimatedBuilder

AnimatedContainer

AnimatedOpacity

AnimatedSize

FadeTransition

Hero

RotationTransition

ScaleTransition

SizeTransition

SlideTransition

NETWORKING

http, dio libraries

json parsing

Local Persistent Storage

SQFLITE

Shared Preferences

Hive

JSON

JSON- PARSING

INTERNATIONALI ZING FLUTTER APPS

Locale

AppLocalization

json files

STATE MANAGEMENT

setState

InheritedWidget

ScopedModel

Provider

Redux

BLOC

OTHER IMPORTANT TOPICS

Widget Tree, Element Tree and Render Tree

App Lifecycle

Dynamic Theming

Flare

Overlay widget

Visibility Widget

Spacer Widget

Universal error

Search Layout

CustomPainter

WidgetsBindingObserver

RouteObserver

SystemChrome

Internet connectivity

Http Interceptor

Google Map

Firebase Auth

Cloud FireStore DB

Real time DB

File/Image Upload

Firebase database

Firestore

Semantic versioning

Finding size and position of widget using RenderObject

Building release APK

Publishing APK on Play Store

RxDart

USEFUL TOOLS

Dev Tools

Observatory

Git and GitHub

Basics

Add ,Commit

Push

Pull

Github,Gitlab And Bitbucket

Learn How to Become UI Pro

Recreate Apps

Animations

Dribble -App Ui

Make Custom Widgets

Native Components

Native Share

Permissions

Local Storage

Bluetooth

WIFI

IR Sensor

API -REST/GRAPH

Consume API

Basics of Web Dev

Server

TESTING AND DEBUGGING

Debugging

Unit Testing

UI (Widget) Testing

Integration Testing

WRITING CUSTOM PLATFORM-SPECIFIC CODE

Platform Channel

Conclusion: There are some courses out there but I believe self-learning is the best. However, you can take help whenever you feel like it. Continue Your Journey By making Apps and also You can clone the existing apps for learning the concept more clearly like Ecommerce , Instagram , Expense Manager , Messenger ,bla bla …….

Most important thing to remember that don’t depend on others too much , when you face any problem just google it and a large flutter community is always with you.

Best of luck for your Flutter journey

Get Ready and Go………..