#python web application framework

[davidharish]

Building Applications with Python: A Comprehensive Guide

The role that Python has played in application development has been at the forefront because of the language’s simplicity and power. Furnished with extensive libraries and frameworks to back up its functionality, Python empowers users to create a wide range of applications, from web-based solutions to complex data processing tools. We shall delve deep into the in-depth look of how to build applications with Python—so equip yourselves with the tools and techniques necessary to make you successful in this dynamic field.

Read more blog on : Building Applications with Python: A Comprehensive Guide

[hotelasian]

Flask Development Company in Australia

LDS Engineers is a leading Flask development company in Australia offering top-notch web development services across Australia, the UK, the USA, and India. With years of experience and a team of skilled professionals, we specialize in creating reliable, scalable, and cost-effective Flask applications tailored to meet your unique business needs. Whether it’s a small web-based solution or a complex…

[karandeeparora]

As a freelance Python developer, I create powerful web applications, APIs, and automation scripts. With expertise in frameworks like Django and Flask, I deliver secure, scalable, and efficient solutions tailored to your business needs. Let's collaborate and turn your ideas into reality with clean, reliable code.

[ldsengineers]

LDS Engineers is a leading Flask Development Company in Australia, the UK, and the USA. We specialize in delivering high-quality Flask development services across multiple countries, including India, the UK, the US, and Australia. With years of experience in the field, we have built a reputation for providing reliable and cost-effective web development solutions using Flask.

Our team of skilled professionals is capable of handling projects of any size and complexity, from small web-based applications to large, complex systems. We pride ourselves on being flexible and adaptive, ensuring that our services meet the specific needs of our clients, no matter the scale of the project. Whether you need a simple website or a full-scale web application, we have the expertise to deliver results that exceed expectations.

[codingquill]

Essentials You Need to Become a Web Developer

HTML, CSS, and JavaScript Mastery

Text Editor/Integrated Development Environment (IDE): Popular choices include Visual Studio Code, Sublime Text.

Version Control/Git: Platforms like GitHub, GitLab, and Bitbucket allow you to track changes, collaborate with others, and contribute to open-source projects.

Responsive Web Design Skills: Learn CSS frameworks like Bootstrap or Flexbox and master media queries

Understanding of Web Browsers: Familiarize yourself with browser developer tools for debugging and testing your code.

Front-End Frameworks: for example : React, Angular, or Vue.js are powerful tools for building dynamic and interactive web applications.

Back-End Development Skills: Understanding server-side programming languages (e.g., Node.js, Python, Ruby , php) and databases (e.g., MySQL, MongoDB)

Web Hosting and Deployment Knowledge: Platforms like Heroku, Vercel , Netlify, or AWS can help simplify this process.

Basic DevOps and CI/CD Understanding

Soft Skills and Problem-Solving: Effective communication, teamwork, and problem-solving skills

Confidence in Yourself: Confidence is a powerful asset. Believe in your abilities, and don't be afraid to take on challenging projects. The more you trust yourself, the more you'll be able to tackle complex coding tasks and overcome obstacles with determination.

[cyberstudious]

saturday, august 31st, 2024

this morning I finished reading High Performance Python. I think it was a good book and I learned more about how Python works in general, even if a lot of the optimizations explained in the book aren't super applicable to anything that I'm working on at the moment. if you do any sort of scientific computing, I think this book will be pretty helpful.

I also read Alex Russel's Reckoning series today and wrote a few notes in my commonplace book. I'd say this series of blog posts is pretty much required reading if you do any sort of front-end web dev work. (tl;dr heavy JavaScript-based SPA frameworks are used far more often than they should be, and they're destroying the usability of the web for folks at the margins. bad design & engineering decisions have real-world impacts, like preventing people from accessing public services and benefits websites.) I highly recommend giving this series a read.

I plan to spend this long weekend reading, relaxing, and going on walks now that the weather is a bit cooler. what are y'all looking forward to this weekend? <3

[educationmore]

Python for Beginners: Launch Your Tech Career with Coding Skills

Are you ready to launch your tech career but don’t know where to start? Learning Python is one of the best ways to break into the world of technology—even if you have zero coding experience.

In this guide, we’ll explore how Python for beginners can be your gateway to a rewarding career in software development, data science, automation, and more.

Why Python Is the Perfect Language for Beginners

Python has become the go-to programming language for beginners and professionals alike—and for good reason:

Simple syntax: Python reads like plain English, making it easy to learn.

High demand: Industries spanning the spectrum are actively seeking Python developers to fuel their technological advancements.

Versatile applications: Python's versatility shines as it powers everything from crafting websites to driving artificial intelligence and dissecting data.

Whether you want to become a software developer, data analyst, or AI engineer, Python lays the foundation.

What Can You Do With Python?

Python is not just a beginner language—it’s a career-building tool. Here are just a few career paths where Python is essential:

Web Development: Frameworks like Django and Flask make it easy to build powerful web applications. You can even enroll in a Python Course in Kochi to gain hands-on experience with real-world web projects.

Data Science & Analytics: For professionals tackling data analysis and visualization, the Python ecosystem, featuring powerhouses like Pandas, NumPy, and Matplotlib, sets the benchmark.

Machine Learning & AI: Spearheading advancements in artificial intelligence development, Python boasts powerful tools such as TensorFlow and scikit-learn.

Automation & Scripting: Simple yet effective Python scripts offer a pathway to amplified efficiency by automating routine workflows.

Cybersecurity & Networking: The application of Python is expanding into crucial domains such as ethical hacking, penetration testing, and the automation of network processes.

How to Get Started with Python

Starting your Python journey doesn't require a computer science degree. Success hinges on a focused commitment combined with a thoughtfully structured educational approach.

Step 1: Install Python

Download and install Python from python.org. It's free and available for all platforms.

Step 2: Choose an IDE

Use beginner-friendly tools like Thonny, PyCharm, or VS Code to write your code.

Step 3: Learn the Basics

Focus on:

Variables and data types

Conditional statements

Loops

Functions

Lists and dictionaries

If you prefer guided learning, a reputable Python Institute in Kochi can offer structured programs and mentorship to help you grasp core concepts efficiently.

Step 4: Build Projects

Learning by doing is key. Start small:

Build a calculator

Automate file organization

Create a to-do list app

As your skills grow, you can tackle more complex projects like data dashboards or web apps.

How Python Skills Can Boost Your Career

Adding Python to your resume instantly opens up new opportunities. Here's how it helps:

Higher employability: Python is one of the top 3 most in-demand programming languages.

Better salaries: Python developers earn competitive salaries across the globe.

Remote job opportunities: Many Python-related jobs are available remotely, offering flexibility.

Even if you're not aiming to be a full-time developer, Python skills can enhance careers in marketing, finance, research, and product management.

If you're serious about starting a career in tech, learning Python is the smartest first step you can take. It’s beginner-friendly, powerful, and widely used across industries.

Whether you're a student, job switcher, or just curious about programming, Python for beginners can unlock countless career opportunities. Invest time in learning today—and start building the future you want in tech.

Globally recognized as a premier educational hub, DataMites Institute delivers in-depth training programs across the pivotal fields of data science, artificial intelligence, and machine learning. They provide expert-led courses designed for both beginners and professionals aiming to boost their careers.

Python Modules Explained - Different Types and Functions - Python Tutorial

[sak-shi]

Python Libraries to Learn Before Tackling Data Analysis

To tackle data analysis effectively in Python, it's crucial to become familiar with several libraries that streamline the process of data manipulation, exploration, and visualization. Here's a breakdown of the essential libraries:

 1. NumPy

   - Purpose: Numerical computing.

   - Why Learn It: NumPy provides support for large multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays efficiently.

   - Key Features:

     - Fast array processing.

     - Mathematical operations on arrays (e.g., sum, mean, standard deviation).

     - Linear algebra operations.

 2. Pandas

   - Purpose: Data manipulation and analysis.

   - Why Learn It: Pandas offers data structures like DataFrames, making it easier to handle and analyze structured data.

   - Key Features:

     - Reading/writing data from CSV, Excel, SQL databases, and more.

     - Handling missing data.

     - Powerful group-by operations.

     - Data filtering and transformation.

 3. Matplotlib

   - Purpose: Data visualization.

   - Why Learn It: Matplotlib is one of the most widely used plotting libraries in Python, allowing for a wide range of static, animated, and interactive plots.

   - Key Features:

     - Line plots, bar charts, histograms, scatter plots.

     - Customizable charts (labels, colors, legends).

     - Integration with Pandas for quick plotting.

 4. Seaborn

   - Purpose: Statistical data visualization.

   - Why Learn It: Built on top of Matplotlib, Seaborn simplifies the creation of attractive and informative statistical graphics.

   - Key Features:

     - High-level interface for drawing attractive statistical graphics.

     - Easier to use for complex visualizations like heatmaps, pair plots, etc.

     - Visualizations based on categorical data.

 5. SciPy

   - Purpose: Scientific and technical computing.

   - Why Learn It: SciPy builds on NumPy and provides additional functionality for complex mathematical operations and scientific computing.

   - Key Features:

     - Optimized algorithms for numerical integration, optimization, and more.

     - Statistics, signal processing, and linear algebra modules.

 6. Scikit-learn

   - Purpose: Machine learning and statistical modeling.

   - Why Learn It: Scikit-learn provides simple and efficient tools for data mining, analysis, and machine learning.

   - Key Features:

     - Classification, regression, and clustering algorithms.

     - Dimensionality reduction, model selection, and preprocessing utilities.

 7. Statsmodels

   - Purpose: Statistical analysis.

   - Why Learn It: Statsmodels allows users to explore data, estimate statistical models, and perform tests.

   - Key Features:

     - Linear regression, logistic regression, time series analysis.

     - Statistical tests and models for descriptive statistics.

 8. Plotly

   - Purpose: Interactive data visualization.

   - Why Learn It: Plotly allows for the creation of interactive and web-based visualizations, making it ideal for dashboards and presentations.

   - Key Features:

     - Interactive plots like scatter, line, bar, and 3D plots.

     - Easy integration with web frameworks.

     - Dashboards and web applications with Dash.

 9. TensorFlow/PyTorch (Optional)

   - Purpose: Machine learning and deep learning.

   - Why Learn It: If your data analysis involves machine learning, these libraries will help in building, training, and deploying deep learning models.

   - Key Features:

     - Tensor processing and automatic differentiation.

     - Building neural networks.

 10. Dask (Optional)

   - Purpose: Parallel computing for data analysis.

   - Why Learn It: Dask enables scalable data manipulation by parallelizing Pandas operations, making it ideal for big datasets.

   - Key Features:

     - Works with NumPy, Pandas, and Scikit-learn.

     - Handles large data and parallel computations easily.

Focusing on NumPy, Pandas, Matplotlib, and Seaborn will set a strong foundation for basic data analysis.

[souhaillaghchimdev]

How to Build Software Projects for Beginners

Building software projects is one of the best ways to learn programming and gain practical experience. Whether you want to enhance your resume or simply enjoy coding, starting your own project can be incredibly rewarding. Here’s a step-by-step guide to help you get started.

1. Choose Your Project Idea

Select a project that interests you and is appropriate for your skill level. Here are some ideas:

To-do list application

Personal blog or portfolio website

Weather app using a public API

Simple game (like Tic-Tac-Toe)

2. Define the Scope

Outline what features you want in your project. Start small and focus on the minimum viable product (MVP) — the simplest version of your idea that is still functional. You can always add more features later!

3. Choose the Right Tools and Technologies

Based on your project, choose the appropriate programming languages, frameworks, and tools:

Web Development: HTML, CSS, JavaScript, React, or Django

Mobile Development: Flutter, React Native, or native languages (Java/Kotlin for Android, Swift for iOS)

Game Development: Unity (C#), Godot (GDScript), or Pygame (Python)

4. Set Up Your Development Environment

Install the necessary software and tools:

Code editor (e.g., Visual Studio Code, Atom, or Sublime Text)

Version control (e.g., Git and GitHub for collaboration and backup)

Frameworks and libraries (install via package managers like npm, pip, or gems)

5. Break Down the Project into Tasks

Divide your project into smaller, manageable tasks. Create a to-do list or use project management tools like Trello or Asana to keep track of your progress.

6. Start Coding!

Begin with the core functionality of your project. Don’t worry about perfection at this stage. Focus on getting your code to work, and remember to:

Write clean, readable code

Test your code frequently

Commit your changes regularly using Git

7. Test and Debug

Once you have a working version, thoroughly test it. Look for bugs and fix any issues you encounter. Testing ensures your software functions correctly and provides a better user experience.

8. Seek Feedback

Share your project with friends, family, or online communities. Feedback can provide valuable insights and suggestions for improvement. Consider platforms like GitHub to showcase your work and get input from other developers.

9. Iterate and Improve

Based on feedback, make improvements and add new features. Software development is an iterative process, so don’t hesitate to refine your project continuously.

10. Document Your Work

Write documentation for your project. Include instructions on how to set it up, use it, and contribute. Good documentation helps others understand your project and can attract potential collaborators.

Conclusion

Building software projects is a fantastic way to learn and grow as a developer. Follow these steps, stay persistent, and enjoy the process. Remember, every project is a learning experience that will enhance your skills and confidence!

[emexotechnologies]

Best Python Training in Marathahalli, Bangalore – Become a Python Expert & Launch a Future-Ready Career!

Want to master Python programming and build a successful IT career? Join eMexo Technologies for the Best Python Training in Marathahalli, Bangalore – your path to becoming a skilled Python developer with job-ready skills and industry certification.

Our Python Certification Course in Marathahalli, Bangalore is designed to equip you with in-demand programming skills, whether you're a beginner or an experienced professional. With real-time projects, hands-on exercises, and expert mentorship, you’ll gain the confidence to build real-world applications and secure your dream job.

🌟 Who Should Join Our Python Course in Marathahalli, Bangalore?

This Python Course in Marathahalli, Bangalore is ideal for:

Students and freshers looking to start their programming career

Software developers and IT professionals upskilling in Python

Data analysts and automation testers using Python for scripting

Anyone looking to crack technical interviews or get Python certified

📘 What You’ll Learn in Our Python Certification Course Marathahalli, Bangalore:

Core Python Programming: Variables, data types, loops, functions, OOP concepts

Advanced Python Concepts: File handling, exception handling, modules, decorators

Web Development with Python: Introduction to Django/Flask frameworks

Database Integration: Using Python with MySQL and SQLite

Automation & Scripting: Build scripts for real-time problem-solving

Live Projects: Real-world applications like calculators, dashboards, and web apps

🚀 Why Choose eMexo Technologies for Python Training in Marathahalli, Bangalore?

We are more than just a Python Training Center in Marathahalli, Bangalore – we are your learning partner. Our focus is on providing career-oriented Python training through certified instructors, hands-on practice, and real-time case studies.

What Makes Us the Best Python Training Institute in Marathahalli, Bangalore:

✅ Industry-expert trainers with real-world Python experience ✅ Fully-equipped classrooms and interactive online sessions ✅ 100% practical-oriented training with live project support ✅ Personalized career guidance, resume building & mock interviews ✅ Dedicated Python training placement in Marathahalli, Bangalore

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🚀 Limited Seats Available – Enroll Today and Start Your Python Journey!

🔖 Hashtags:

[shalu620]

Why Python Will Thrive: Future Trends and Applications

Python has already made a significant impact in the tech world, and its trajectory for the future is even more promising. From its simplicity and versatility to its widespread use in cutting-edge technologies, Python is expected to continue thriving in the coming years. Considering the kind support of Python Course in Chennai Whatever your level of experience or reason for switching from another programming language, learning Python gets much more fun.

Let's explore why Python will remain at the forefront of software development and what trends and applications will contribute to its ongoing dominance.

1. Artificial Intelligence and Machine Learning

Python is already the go-to language for AI and machine learning, and its role in these fields is set to expand further. With powerful libraries such as TensorFlow, PyTorch, and Scikit-learn, Python simplifies the development of machine learning models and artificial intelligence applications. As more industries integrate AI for automation, personalization, and predictive analytics, Python will remain a core language for developing intelligent systems.

2. Data Science and Big Data

Data science is one of the most significant areas where Python has excelled. Libraries like Pandas, NumPy, and Matplotlib make data manipulation and visualization simple and efficient. As companies and organizations continue to generate and analyze vast amounts of data, Python’s ability to process, clean, and visualize big data will only become more critical. Additionally, Python’s compatibility with big data platforms like Hadoop and Apache Spark ensures that it will remain a major player in data-driven decision-making.

3. Web Development

Python’s role in web development is growing thanks to frameworks like Django and Flask, which provide robust, scalable, and secure solutions for building web applications. With the increasing demand for interactive websites and APIs, Python is well-positioned to continue serving as a top language for backend development. Its integration with cloud computing platforms will also fuel its growth in building modern web applications that scale efficiently.

4. Automation and Scripting

Automation is another area where Python excels. Developers use Python to automate tasks ranging from system administration to testing and deployment. With the rise of DevOps practices and the growing demand for workflow automation, Python’s role in streamlining repetitive processes will continue to grow. Businesses across industries will rely on Python to boost productivity, reduce errors, and optimize performance. With the aid of Best Online Training & Placement Programs, which offer comprehensive training and job placement support to anyone looking to develop their talents, it’s easier to learn this tool and advance your career.

5. Cybersecurity and Ethical Hacking

With cyber threats becoming increasingly sophisticated, cybersecurity is a critical concern for businesses worldwide. Python is widely used for penetration testing, vulnerability scanning, and threat detection due to its simplicity and effectiveness. Libraries like Scapy and PyCrypto make Python an excellent choice for ethical hacking and security professionals. As the need for robust cybersecurity measures increases, Python’s role in safeguarding digital assets will continue to thrive.

6. Internet of Things (IoT)

Python’s compatibility with microcontrollers and embedded systems makes it a strong contender in the growing field of IoT. Frameworks like MicroPython and CircuitPython enable developers to build IoT applications efficiently, whether for home automation, smart cities, or industrial systems. As the number of connected devices continues to rise, Python will remain a dominant language for creating scalable and reliable IoT solutions.

7. Cloud Computing and Serverless Architectures

The rise of cloud computing and serverless architectures has created new opportunities for Python. Cloud platforms like AWS, Google Cloud, and Microsoft Azure all support Python, allowing developers to build scalable and cost-efficient applications. With its flexibility and integration capabilities, Python is perfectly suited for developing cloud-based applications, serverless functions, and microservices.

8. Gaming and Virtual Reality

Python has long been used in game development, with libraries such as Pygame offering simple tools to create 2D games. However, as gaming and virtual reality (VR) technologies evolve, Python’s role in developing immersive experiences will grow. The language’s ease of use and integration with game engines will make it a popular choice for building gaming platforms, VR applications, and simulations.

9. Expanding Job Market

As Python’s applications continue to grow, so does the demand for Python developers. From startups to tech giants like Google, Facebook, and Amazon, companies across industries are seeking professionals who are proficient in Python. The increasing adoption of Python in various fields, including data science, AI, cybersecurity, and cloud computing, ensures a thriving job market for Python developers in the future.

10. Constant Evolution and Community Support

Python’s open-source nature means that it’s constantly evolving with new libraries, frameworks, and features. Its vibrant community of developers contributes to its growth and ensures that Python stays relevant to emerging trends and technologies. Whether it’s a new tool for AI or a breakthrough in web development, Python’s community is always working to improve the language and make it more efficient for developers.

Conclusion

Python’s future is bright, with its presence continuing to grow in AI, data science, automation, web development, and beyond. As industries become increasingly data-driven, automated, and connected, Python’s simplicity, versatility, and strong community support make it an ideal choice for developers. Whether you are a beginner looking to start your coding journey or a seasoned professional exploring new career opportunities, learning Python offers long-term benefits in a rapidly evolving tech landscape.

[digitalmarketing1225]

Object-Oriented Programming (OOP) Explaine

Object-Oriented Programming (OOP) is a programming paradigm based on the concept of "objects," which represent real-world entities. Objects combine data (attributes) and functions (methods) into a single unit. OOP promotes code reusability, modularity, and scalability, making it a popular approach in modern software development.

Core Concepts of Object-Oriented Programming

Classes and Objects

Class: A blueprint or template for creating objects. It defines properties (attributes) and behaviors (methods).

Object: An instance of a class. Each object has unique data but follows the structure defined by its

Encapsulations

Encapsulation means bundling data (attributes) and methods that operate on that data within a class. It protects object properties by restricting direct access.

Access to attributes is controlled through getter and setter methods.Example: pythonCopyEditclass Person: def __init__(self, name): self.__name = name # Private attribute def get_name(self): return self.__name person = Person("Alice") print(person.get_name()) # Output: Alice

Inheritance

Inheritance allows a class (child) to inherit properties and methods from another class (parent). It promotes code reuse and hierarchical relationships.Example: pythonCopyEditclass Animal: def speak(self): print("Animal speaks") class Dog(Animal): def speak(self): print("Dog barks") dog = Dog() dog.speak() # Output: Dog barks

Polymorphism

Polymorphism allows methods to have multiple forms. It enables the same function to work with different object types.

Two common types:

Method Overriding (child class redefines parent method).

Method Overloading (same method name, different parameters – not natively supported in Python).Example: pythonCopyEditclass Bird: def sound(self): print("Bird chirps") class Cat: def sound(self): print("Cat meows") def make_sound(animal): animal.sound() make_sound(Bird()) # Output: Bird chirps make_sound(Cat()) # Output: Cat meows

Abstraction

Abstraction hides complex implementation details and shows only the essential features.

In Python, this is achieved using abstract classes and methods (via the abc module).Example: pythonCopyEditfrom abc import ABC, abstractmethod class Shape(ABC): @abstractmethod def area(self): pass class Circle(Shape): def __init__(self, radius): self.radius = radius def area(self): return 3.14 * self.radius * self.radius circle = Circle(5) print(circle.area()) # Output: 78.5

Advantages of Object-Oriented Programming

Code Reusability: Use inheritance to reduce code duplication.

Modularity: Organize code into separate classes, improving readability and maintenance.

Scalability: Easily extend and modify programs as they grow.

Data Security: Protect sensitive data using encapsulation.

Flexibility: Use polymorphism for adaptable and reusable methods.

Real-World Applications of OOP

Software Development: Used in large-scale applications like operating systems, web frameworks, and databases.

Game Development: Objects represent game entities like characters and environments.

Banking Systems: Manage customer accounts, transactions, and security.

E-commerce Platforms: Handle products, users, and payment processing.

Machine Learning: Implement models as objects for efficient training and prediction.

Conclusion

Object-Oriented Programming is a powerful paradigm that enhances software design by using objects, encapsulation, inheritance, polymorphism, and abstraction. It is widely used in various industries to build scalable, maintainable, and efficient applications. Understanding and applying OOP principles is essential for modern software development.

: pythonCopyEdit

class Car: def __init__(self, brand, model): self.brand = brand self.model = model def display_info(self): print(f"Car: {self.brand} {self.model}") my_car = Car("Toyota", "Camry") my_car.display_info() # Output: Car: Toyota Camry

Encapsulation

[savidesai]

Introduction to SkillonIT Learning Hub- Empowering Rural Talent With World-Class IT Skills

SkillonIT provides IN-Demand IT courses, connecting Rural talent with rewarding IT skills through affordable, accessible and career-focused education. with Guaranteed pathways to internship and high paying jobs, start with us and step into Opportunities at top Tech-leading Companies. Skillonit Learning Hub, located in Buldhana, Maharashtra, is a leading institute dedicated to equipping individuals with cutting-edge technology skills. With a mission to bridge the digital divide, the institute provides high-quality education in various IT and professional development domains. Skillonit focuses on practical, industry-oriented training, ensuring students gain the expertise needed to thrive in today’s competitive job market. The hub is committed to empowering rural talent and shaping the next generation of skilled professionals.

Courses Offered Skillonit Learning Hub offers a diverse range of courses tailored to industry demands, enabling students to master both technical and professional skills.

Blockchain Development — Smart Contracts (Solidity, Rust, Web3.js, Hardhat) — Blockchain Protocols (Ethereum, Solana, Binance Smart Chain, Fantom) — Decentralized Applications (DApps) Development

Front-End Development — HTML, CSS, JavaScript — Frameworks: React.js, Vue.js, Angular — Responsive Web Design & UI Frameworks (Bootstrap, Tailwind CSS)

Back-End Development — Server-side Programming (Node.js, Python, PHP, Java, .NET) — Database Management (MySQL, MongoDB, Firebase, PostgreSQL) — API Development (RESTful APIs, GraphQL, WebSockets)

Full-Stack Development — Front-End + Back-End Integration — MERN Stack Development — Database, Deployment & DevOps Practice

Mobile App Development — Cross-Platform Development (Flutter, React Native)

Unity 3D Game Development — Game Mechanics & Physics — C# Programming for Game Development — Virtual Reality (VR) & Augmented Reality (AR) Integration

Professional UI/UX Design — User Interface Design (Adobe XD, Figma, Sketch) — User Experience Principles — Prototyping, Wireframing & Usability Testing

Professional Graphic Design — Adobe Photoshop, Illustrator, and CorelDraw — Branding & Logo Design — Digital Art & Visual Communication

Digital Marketing — SEO, SEM, and Social Media Marketing — Content Marketing & Copywriting — Google Ads, Facebook Ads & Analytics

Spoken English — Communication Skills & Public Speaking — Accent Training & Fluency Improvement

Personality Development — Business & Corporate Etiquette — Confidence Building & Interview Preparation — Leadership & Teamwork Skills

Location & Contact : Address : Chhatrapati Tower, Above Maratha Mahila Urban, 3rd Floor, Chikhali Road, Buldhana, Maharashtra, 443001.

Contact us

Conclusion : Skillonit Learning Hub is revolutionizing IT and professional education by making technology and essential career skills accessible to aspiring developers, designers, marketers, and professionals. With a strong emphasis on practical learning, industry exposure, and career opportunities, it stands as a beacon of growth for young talent in Buldhana and beyond. Whether you are looking to build a career in tech, marketing, design, or personal development, Skillonit provides the ideal platform to achieve your goals. Join Our Social Community

Skillonit #Education #ITCourses #Buldhana #Maharashtra #IT #Blockchain #Fullstack #Front-end #Back-end #MobileApp #Unity3d #UIUX #Graphicdesign #Digitalmarketing #SpokenEnglish #Personality #development

[bjsmall]

22.02.25

A quick look at the free, open source Openshot Video Editor, running in Linux Mint Cinnamon 22.1 on Distrosea!

On Mint, Openshot is installed via the Software Manager as a .deb file.

Here are some of the packages (dependencies) that are installed alongside it. The version featured in the manager (Openshot 3.1.1) is a few versions behind the web version (3.3.0) for stability reasons.

OpenShot was released in August 2008. It is built using Python, C++ (libopenshot) and the Qt5 framework. It is available for Linux, Chrome OS, Windows and Mac OS operating systems.

https://www.openshot.org/

It can handle most modern and classic video formats and can export videos in up to 8K resolution. It comes with a customisable interface, built-in tutorial, various transitions, effects, 3D text and animation effects with Blender Animation support and emoji emblems that can be used in video shots through the time line.

Openshot comes with a default dark theme and a light theme.

https://en.wikipedia.org/wiki/OpenShot

An interesting look at the OpenShot User interface. The window size of the VM is shown in the 'Display Settings' window. The actual display resolution is 2560x1440.

Online video tutorials can be watched here:

https://www.youtube.com/playlist?list=PLymupH2aoNQNezYzv2lhSwvoyZgLp1Q0T

However I still prefer the simplicity of Clipchamp, as it includes ready made templates, a clean UI and is a browser based web-app that can run on any operating system.

https://clipchamp.com/en/

Other popular open-source video editing applications include:

Kdenlive (released 2002)

https://kdenlive.org/en/

Shortcut (released 2011)

https://www.shotcut.org/

Flowblade Movie Editor (released 2009)

https://jliljebl.github.io/flowblade/

Blender Animation Program (released 1994)

https://www.blender.org/

All of the video editors mentioned here have their pros and cons and many can be installed as a .deb (System Package) or .flatpak (Containerized App) on Linux Mint.

[newcodesociety]

ByteByteGo | Newsletter/Blog

From the newsletter:

Imperative Programming Imperative programming describes a sequence of steps that change the program’s state. Languages like C, C++, Java, Python (to an extent), and many others support imperative programming styles.

Declarative Programming Declarative programming emphasizes expressing logic and functionalities without describing the control flow explicitly. Functional programming is a popular form of declarative programming.

Object-Oriented Programming (OOP) Object-oriented programming (OOP) revolves around the concept of objects, which encapsulate data (attributes) and behavior (methods or functions). Common object-oriented programming languages include Java, C++, Python, Ruby, and C#.

Aspect-Oriented Programming (AOP) Aspect-oriented programming (AOP) aims to modularize concerns that cut across multiple parts of a software system. AspectJ is one of the most well-known AOP frameworks that extends Java with AOP capabilities.

Functional Programming Functional Programming (FP) treats computation as the evaluation of mathematical functions and emphasizes the use of immutable data and declarative expressions. Languages like Haskell, Lisp, Erlang, and some features in languages like JavaScript, Python, and Scala support functional programming paradigms.

Reactive Programming Reactive Programming deals with asynchronous data streams and the propagation of changes. Event-driven applications, and streaming data processing applications benefit from reactive programming.

Generic Programming Generic Programming aims at creating reusable, flexible, and type-independent code by allowing algorithms and data structures to be written without specifying the types they will operate on. Generic programming is extensively used in libraries and frameworks to create data structures like lists, stacks, queues, and algorithms like sorting, searching.

Concurrent Programming Concurrent Programming deals with the execution of multiple tasks or processes simultaneously, improving performance and resource utilization. Concurrent programming is utilized in various applications, including multi-threaded servers, parallel processing, concurrent web servers, and high-performance computing.