#Free Dictionaries APIs

[onlineshoppingwebsitedevelopment]

 An Android  History And Its Releases From Its Start To Till Now

In the ever-changing landscape of mobile technology, a mobile app functions as software designed for handheld devices like smartphones and tablets. Amidst the dynamic world of mobile tech, Android mobile apps and updates have consistently held a significant position. Their versatility, user-friendly design, and responsiveness have made them a hit among today's mobile users. While Android comes with a wide range of built-in features, it also offers access to numerous additional functionalities through a vast selection of applications. One of the most popular sources for downloading Android mobile apps is the Google Play Store, which houses an extensive collection of over millions of apps with a cumulative download count exceeding 50 billion.

Given the widespread use of Android devices, it is crucial to keep the Android operating system up to date. Updates not only check the security of the system, also it syncs with the latest features Reputable Mobile App Development Companies in Chennai are dedicated to delivering top-notch Android apps that cater to a variety of needs. To create an application developer work consistently to redesign according to the changing trends. 

One of the services in today's world is mobile development has become indispensable and make a rope to connect the individuals to various entities. An important role played in the development of apps is the android that boosts innovation, convenience and comfort. This android platform has made so many fine tunes to the core of the operating system since its origination. 

Android 1.0 Alpha (2008):

Android 1.0 has landed the android world in September 2008 with four top features in it. 

Google Maps

Gmail integration

The App Store (referred to as "The Market")

A scroll-down notification bar

This release was revolutionary and provided users with an unprecedented smartphone experience. However, some functionality gaps remained, as Android devices at the time required hardware buttons and physical keyboards, along with a trackball for sales.

Android 1.1 Beta (2009):

The 1.1 update, known as T-Mobile G1, was launched in February 2009.The issues that present in the 1.0 android version are sorted out by this android 1.1 G1 and it also included API integration that was done by a mobile development company that is in chennai.    Improvements were made to the Maps app, enabling users to access details and reviews for various venues and locations.

Android 1.5 Cupcake (2009):

The arrival of Cupcake marked the beginning of Android's delectable naming tradition for its releases. Some worthy features are inserted in this android cupcake version of April 2008 like accepting third party keywords and user dictionaries  It also introduced live widgets, featuring analog clocks, music players, calendars, picture frames, and search functions. Notably, Cupcake emphasized video recording and playback, supporting MPEG4 and 3GP formats.

Android 1.6 Donut (2009):

Released in September 2009, Donut brought a slew of improvements. There is a section introduced for top paid , top free and newly arrived apps with some capability to capture the screenshot  The Camera and Gallery interfaces were enhanced, resulting in improved camera responsiveness and speed. Multiple deletion of photos in the gallery is updated. Donut also introduced support for WVGA resolution on handset displays and a free turn-by-turn navigation feature.

Android 2.0/2.1 Éclair (2009):

Just a month after Donut, Éclair made its debut in November 2009. Expanded account sync is newly introduced in android 2.0 with other features like adding multiple accounts for synchronising contact and mails Microsoft email support with a unified inbox for viewing emails from multiple accounts on a single page was also a new feature. The flash support , digital zoom ,scene mode, white balance adjustment, macro focus and color effects are the upgrades done in camera. Éclair has some updated the animated backgrounds, wallpaper and primary focused bugs.  

Android 2.2 Froyo (2010):

Launched in May 2010, Froyo brought substantial improvements. The standout feature was the addition of Flash support, enabling a more interactive web experience. The compatibility of Bluetooth is enhanced with car and dock speakers. For 3G connections over other devices portable wi-fi hotspot is enhanced by the experts from leading web design companies.

Android 2.3 Gingerbread (2010):

In 2010, Gingerbread made its debut, representing a crucial moment in Android's evolution. It brought significant improvements to the standard keyboard, resulting in faster input and more intuitive typing. Additionally, Gingerbread introduced support for front-facing cameras, facilitating video calling, and included the Download Manager as a notable addition.

Android 3.0/3.1/3.2 Honeycomb (2011):

Honeycomb arrived in May 2011, designed exclusively for tablets. This version eliminated the need for hardware buttons, incorporating them into the operating system itself. It also introduced tabbed browsing in the web browser, making it a prominent feature in tablet navigation.

Android 4.0 Ice Cream Sandwich (2011):

Launched in May 2011, Ice Cream Sandwich (ICS) brought a significant redesign to Android. The Web browser closely resembled the desktop Chrome browser experience. Snapshot feature is a new accessible thing by holding down the power button and volume button at the same time. Notably, ICS introduced Face Unlock, allowing users to unlock devices by simply looking into the front-facing camera. The update also featured resizable widgets, offering more versatility compared to earlier versions.

Android 4.1 Jelly Bean (2012):

Unveiled in June 2012, Jelly Bean introduced several compelling features:

Google Now: Displayed relevant information based on search history.

Project Butter: Frame rate is enhanced when you swipe the menus and the home screen gives a smoother experience. 

Widget Realignment: Widgets would automatically adjust their placement when new ones were added.

Expandable Notifications: Improved the user experience by providing more information at a glance.

Voice Search: Enables users to ask questions or perform searches by simply saying "Google."

Android 4.4 KitKat (2013):

Released in November 2013, KitKat was a significant update that brought improvements to both the internal workings and the visual aspects of Android. Key features included:

Emojis: Introduced cartoonish ideograms and smileys for text messages.

Contact Prioritization: Allowed users to sort contacts based on communication frequency.

Smarter Caller ID: Enabled users to search for business contact information directly from the dialer.

Android 5.0 Lollipop - 2014:

Android 5.0 Lollipop represented a significant milestone, introducing the most extensive redesign of Android at the time and having profound implications for Mobile App Development Companies in Chennai.

Enhanced Sound Profiles: Android 5.1 brought improved sound profile options. Users could now silence their phones or set them to the "None" mode until the next alarm. Dismissing notifications became more intuitive, with app notifications appearing on the lock screen and the ability to swipe them away. A double-tap gesture provided quick access to important notifications.

Improved Device Protection: Android Smart Lock bolstered device security by linking the device with recognized peripherals to verify the user's identity. 

Android 6.0 Marshmallow - 2015:

Marshmallow built upon the foundation laid by Lollipop and introduced significant enhancements, including:

Google Now on Tap: Within apps, a long press of the home button triggered Google Now on Tap, which scanned for related information and presented results in cards.

Streamlined Permissions System: Unlike previous Android versions that required configuring app settings during installation, Marshmallow simplified the process. It now prompts users for permissions only when necessary, reducing complexity.

Smart Lock for Passwords: Marshmallow's "Smart Lock" feature allowed the secure storage of app passwords in a Google account's cloud storage, facilitating a seamless transition to a new device.

These innovations not only enhanced user experiences but also presented intriguing challenges and opportunities for Mobile App Development Companies in Chennai and beyond

Android N Nougat — Announced in 2016:

In March 2016, the announcement of the Nougat version created a wave of excitement, especially among mobile app development companies in Chennai. The anticipation was high for its release in India, with several compelling features expected:

Doze on the Go: Nougat was set to introduce "Doze on the Go" to improve standby time. By this feature you can optimize the battery power usage at the device inactivity.  

Multi Window Feature: The introduction of the Multi Window feature was eagerly awaited. It would enable users to use two apps simultaneously, enhancing multitasking capabilities.

Improved Settings App: Anticipated enhancements to the Settings app promised a more intuitive and user-friendly interface for configuring devices.

Clear All in Recent Apps: Nougat was poised to include a "Clear All" function in the recent apps screen, simplifying the process of closing background applications.

Direct Reply to Notifications: Nougat was expected to enable users to respond directly to notifications, streamlining communication without the need to open individual apps.

Quick Settings Toggles Customization: The addition of customizable Quick Settings toggles would give users greater control over the features and settings accessible through the notification shade. This was a highly anticipated feature for Android users.

Android 8.0 to 8.1: Oreo - August 2017:

Android Oreo, unveiled in August 2017, while not as feature-packed as some of its predecessors, brought forth several compelling aspects that appealed to users. Notable features included:

Enhanced Boot Speed: Android Oreo promised a significant 2x increase in boot speed, enabling users to start using their devices more quickly after startup.

Multitasking Capability: Improved multitasking was eagerly awaited, and Android Oreo delivered. Its multitasking capabilities met users' expectations for efficient app management and smooth transitions between apps.

Auto Fill API Framework: Oreo introduced the Auto Fill API framework, streamlining the process of filling in login credentials and eliminating the need for a separate password manager.

Picture-in-Picture Feature: Android Oreo introduced the Picture-in-Picture feature, allowing users to continue video calls on Duo, navigate with Google Maps, or watch videos while interacting with other apps.

With its user-focused improvements, Android Oreo demonstrated that updates with fewer features could still significantly enhance the user experience and encourage adoption by mobile app development services.

Android 9.0: Pie - 2018:

Android Pie, released in 2018, brought a host of enhancements aimed at refining the user experience. The update placed a significant emphasis on navigation improvements, introducing new gestures that were both intuitive and minimalist in design. Additionally, Pie introduced in-app actions, allowing users to perform tasks directly within applications without the need to switch to other apps. This streamlined user interactions and made the overall experience more efficient.

Digital Wellbeing was a central theme in Android 9.0. One notable feature, App Slices, provided users with a preview of an app's functionality within another app, enhancing convenience and accessibility.

Android Pie also introduced support for Wi-Fi Round-Trip-Time (RTT), enabling indoor tracking capabilities similar to GPS. By leveraging compatible hardware, apps could measure distances between RTT-capable Access Points, improving location accuracy.

The Gesture Navigation feature introduced in Android Pie encouraged users to explore the interface without relying on the traditional navigation bar. Mobile app development experts from top companies continued to uncover and explore these exciting new features, further enhancing the Android experience.

Android 10 - Released in September 2019:

The release of Android 10 in September 2019 marked another step in the platform's evolution, bringing further refinements and valuable features:

Smart Replies Upgrade: Android 10 enhanced Smart Replies, allowing it to recognize not only preset messages but also Google Maps links, YouTube videos, and other embedded URLs in notifications. This enabled users to seamlessly transition from notifications to relevant apps directly from the notification pop-up.

"More" Options: Android 10 introduced "More" options, providing users with additional utility and ease of use.

Live Caption: A standout feature of Android 10 was "live caption," which added real-time captions to videos, even when offline.

Digital Wellbeing: Building upon the Digital Wellbeing foundation from Android 9, the Digital Wellbeing app gained more prominence in Android 10. Through the phone privacy clear privacy control access via the account page of google. 

Android has come a long way since its inception in 2008, now powering over 1 billion users who engage with Android apps daily. These apps have become significant revenue generators, contributing to the smartphone era's advancement. With each new Android release, essential improvements, security enhancements against potential threats, and valuable features are introduced.

This comprehensive overview of Android's version history highlights enduring themes of versatility, innovation, and adaptability to evolving trends. These themes motivate dedicated teams in mobile app development services to embrace the latest tools and advancements, ensuring the creation of exceptional mobile applications for users worldwide.

Android 11: Red Velvet Cake - 2020:

In 2020, Android 11, fondly known as "Red Velvet Cake," brought a range of notable features that further elevated the user experience and functionality of the platform:

Conversation Notifications: This ensured that crucial messages remained readily accessible.   Inside the notification shade, android 11 introduced a conversion section by which the user can easily distinguish and give proper importance from other notifications.  

Bubbles: Building upon the concept of chat heads popularized by Facebook Messenger, Android 11 introduced "Bubbles." These interactive chat bubble icons enabled users to engage in ongoing conversations without the need to switch between apps, promoting seamless multitasking.

Screen Recording: Addressing the demand for screen recording, Android 11 introduced a built-in feature, eliminating the need for third-party applications. This native screen recording capability simplified the process of capturing and sharing on-screen activities.

Smart Device Controls: Android 11 introduced "Smart Device Controls," a feature designed to streamline the management and control of smart home devices.  

One-time Permissions: Recognizing the significance of user privacy, Android 11 enhanced security by introducing one-time permissions. This feature allowed users to grant temporary access to specific app permissions like the microphone, camera, and location, providing greater control over their personal data.

Media Controls: Through the notification shade, 11 revamped the media control by making it more accessible. Users can switch over the playback devices from the notification area directly, enhancing the convenience of maintaining the audio. 

Enhanced 5G Support: With a focus on harnessing the full potential of 5G capabilities, Android 11 allowed applications to leverage rapid download and upload speeds. This translated to smoother streaming of multimedia content and improved browsing experiences.

Wireless Android Auto: Android 11 catered to seamless connectivity by introducing wireless Android Auto. This advancement eliminated the need for USB cable connections, significantly enhancing the user experience for those using Android Auto in their vehicles.

Android 12: Snow Cone - 2021:

Android 12, nicknamed "Snow Cone," brought an array of enhancements and features aimed at further refining the user experience and offering greater control over device functionality:

Material You Design: Building upon Android 11's customization capabilities, Android 12 introduced the "Material You" design.  Android 11 has a personalized system that users can make chances in colour,shapes and fonts to create a unique interface. 

Enhanced Privacy Features: Android 12 placed a strong emphasis on user privacy by introducing the "privacy indicator." This feature notifies users when an app is accessing the device's camera or microphone, providing greater transparency and control over their data.

Improved Widgets: Android 12 enabled users to resize widgets on the home screen according to their preferences. This not only provided more flexibility but also introduced smoother transitions and animations for a more polished user experience.

Enhanced Auto-Rotate:  This feature will detect the user face by using the front facing camera for auto rotate features. This innovation improved the accuracy of screen orientation adjustments, enhancing usability.

One-Handed Mode: Recognizing the prevalence of larger devices, Android 12 introduced a one-handed mode. This mode reduced the screen's size, making it more manageable for users to operate their devices with one hand.

Smart App Power Saving: Android 12 introduced an automatic app hibernation feature. This functionality intelligently put unused apps into a dormant state, freeing up storage capacity and enhancing device performance.

Enhanced Accessibility: Android 12 addressed accessibility needs by introducing a "head pointer" option. This feature allowed users to control their devices using head movements, enhancing gesture navigation and promoting inclusivity.

Android 13: Tiramisu - 2022:

In 2022, Android 13, named "Tiramisu," continued the tradition of introducing meaningful enhancements to enrich the user experience and device functionality:

New Themed Icons: Android 13 enabled greater personalization by allowing users to match app icons' tints and colors with their device's wallpaper or theme. This customization extended to both Google and non-Google apps, enhancing visual appeal.

Resolution Switching: A valuable addition was the "Screen resolution" page in the 'Display' settings. Users gained the ability to choose between two common screen resolutions, QHD+ 1440p or FHD+ 1080p, tailored for supported tablets and handheld devices.

Modified Visual for Media Player:  By the android 13 settings menu, app language allows users to set a unique app language for individual apps. This feature promoted a more personalised and convenient app experience.  Permissions on Notifications: Android 13 centralised app notification permissions, giving users more effective control, particularly for newly downloaded apps requiring notification access.

Real-time Messaging: Android 13 enabled real-time messaging even when the device was inaccessible. Additionally, messaging apps could be used directly on Chromebooks, facilitating seamless communication while working on a laptop.

Advanced 3D Audio: Android 13 brought an immersive audio experience through "Advanced 3D Audio." Enabled by head-tracking headphones, this feature dynamically adjusted sound based on head movement, enhancing the auditory experience.

Concurrent Task on a Tablet: Android 13 reimagined multitasking on tablets with a redesigned taskbar. Users could simultaneously view all open apps, leveraging drag-and-drop functionality for a convenient split-screen view, fostering productivity.

With each iteration, Android's evolution demonstrates a commitment to user-centric enhancements, privacy, and usability, reinforcing its position as a leading mobile operating system. These updates continually shape the way users interact with their devices and drive mobile technology forward.

Android 14: Upside Down Cake - 2023:

Android 14, known as "Upside Down Cake," introduces a series of impactful enhancements and features that cater to user needs and refine the overall experience:

Photo Picker: Android 14 prioritizes user privacy with the Photo Picker feature. Instead of granting broad access to all photos, users can selectively choose specific photos for app access, enhancing control over their personal data.

Notification Flashes: To assist users with hearing impairments, Android 14 introduces Notification Flashes. This feature uses visual cues like flashing lights or visual notifications to alert individuals who may struggle with auditory notifications.

Camera and Battery Optimizations: Android 14 focuses on improving battery consumption and user experience through comprehensive camera and battery optimizations. These enhancements ensure a seamless and uninterrupted user experience while efficiently managing device resources.

App Pair: Facilitating multitasking, the App Pair feature allows users to use apps in pairs, enabling convenient split-screen functionality and promoting efficient app usage and multitasking.

Auto-confirm Unlock: Android 14 streamlines device unlocking with the Auto-confirm Unlock feature, enabling users to swiftly unlock their devices by entering the passcode without pressing additional buttons.

Separate Ring and Notification Volumes: For a common user concern, volume control is set specific for ringtones and notification, this allows users to tailor the ring volume independently. 

Android Device into Webcam: Android 14 empowers users to transform their smartphones into high-quality webcams, eliminating the need for a separate webcam purchase and providing a versatile solution for video communication.

Partial Screen Recorder: Android 14 introduces the partial screen recorder feature, enabling users to record specific apps with a focus on content. This excludes user interface (UI) elements and notifications from recorded content, ensuring clean and distraction-free recordings.

These updates underscore significant shifts in Google's priorities, emphasizing user-centric innovation, privacy, and efficiency. As Android continues to evolve, it shapes the digital landscape and enriches user experiences worldwide.

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[generative-adversarial-nitwit]

what are you using/studying to learn japanese? I've always wanted to learn but duolingo is famously bad for learning.

if you want sort of a firehose of knowledge, this doc from reddit was super helpful to me for sorting through strategies and resources and picking a few ways to start. it’s definitely worth checking out to see what sticks for you. most of what i’m using now actually came from there!

my main goal for right now is to be able to read decently. the “tangible” (sort of a joke, but somewhat genuine) goal is that if i look at a japan travelogue video on youtube, i want to be able to read the restaurant menus/signs haha

i’m currently using a combo of: wani kani (for kanji/vocab), duolingo (mostly for drilling kana), and Genki textbooks (grammar).

honestly duolingo is perfectly fine for kana, if a little slow. i’ve also found that i don’t need to be hardcore fast on the draw with kana just to be able to proceed with stuff like wani kani, and doing those things in tandem with kana practice helps to strengthen my memory of the kana.

wani kani is like a much more approachable, curated version of SRS utilities like Anki. it has a built-in curriculum that focuses on teaching kanji radicals (the building blocks of various kanji), then teaching kanji that build off those radicals, then vocabulary that use the kanji. since it has a built-in schedule, this is the main thing i’m structuring my learning around. typically i’ll do a review, then set an alarm on my device for the next review that’s at a reasonable hour, and then repeat, so i remember to do them. i do kana and grammar learning to pass time in-between.

i really like wani kani; it has a very friendly interface and will programmatically determine how strong i am on a given “card” (this is one of my hangups with anki, which depends on self-evaluation). the built-in mnemonics can seem silly at first but are genuinely helpful. more than anything i think the focus on radicals REALLY helps with efficiency and retention in the long run rather than rote memorization of JLPT vocab. the drawback is that some of the kanji/vocab might end up being a little esoteric in practice. it’s also slow to start — you have to keep at it to get a fuller review schedule. wani kani is also completely free until level 4, which is legitimately very chill of them because 3 levels is a crazy amount of knowledge to get for free and many people will quit well before that point. they also have an active community and a public API which means extensions and apps galore if you want to customize the experience

genki is good to read through at your own pace for at least the grammar. it can be found at a variety of booksellers or maybe other ways if you don’t have the budget. it has practice activities you can try if you like! i personally like to read through a lesson and then practice typing out my own sentences using the vocab and concepts that it introduces, but i’m not stressing too much about doing each chapter top to bottom. i really like having it as a reference text. the illustrations are cute also

listening/immersion can be anything you find interesting. in particular i like dogen’s channel because the dude writes/speaks very eloquently and is also just very funny (the thumbnails might seem a little bit annoying. the content is good i promise). he’s a foreigner who’s lived in japan for a long time and he has pretty insightful commentary from that perspective, which he delivers as like… comedic rakugō shitposts. he’s also a good introduction to the idea of pitch accent. my personal favorite of his is Uncle Magnet

OH also jisho.org is a very good dictionary resource. ok i think that’s all! がんばって!

[marionberry-jam]

if anyone would like to learn kanji, wanikani by tofugu has a great srs system!! theyre also really encouraging of plug ins and their api is so open access you can do a lot with it, and a lot of users have made extensions or additional websites or apps!

the (unofficial) iphone app is called "tsurukame", theres also like nhk website plugins that only give you furigana for kanji you havent learned yet, etc.

wanikani does have its flaws - doesnt have all the jlpt n1 or joyo kanji, costs quite a bit yearly, etc. overall i do think its worth it if you want to be seriously learning kanji. honestly its an amazing resource and ive learned a lot.

plus they have forums that have resources, book clubs at all levels of difficulty, little translation challenges, etc!!

also want to recommend the Genki textbooks - they have audio tracks that you can play along with the exercises in the book, and lots of good practice and explanations. plus there are apps to practice vocab flashcards, etc. i was able to find pdfs and mp3s of genki online but i dont remember where 😔 (maybe wanikani forums?) or you can buy them online im sure..

this is less useful for learning and more for practice but bunpro (not to be confused with bunpo) is a japanese grammar dictionary that offers a rudimentary srs. anki also has a desktop app (at least on mac) that is free and you can also use it on the website, you just have to load in decks. or make them! ive been keeping track of vocab words from the japanese manga/books ive been reading and making decks in anki to practice!

ive heard lingodeer is also good for languages with non roman characters - japanese and korean are the two i have heard the most about but i believe they have more available. i think it does require a paid subscription at some point and i havent used it very much but my friends speak highly of it!!

happy language learning everyone ☺️

Duolingo Sucks, Now What?: A Guide

Now that the quality of Duolingo has fallen (even more) due to AI and people are more willing to make the jump here are just some alternative apps and what languages they have:

"I just want an identical experience to DL"

Busuu (Languages: Spanish, Japanese, French, English, German, Dutch, Italian, Portuguese, Chinese, Polish, Turkish, Russian, Arabic, Korean)

"I want a good audio-based app"

Language Transfer (Languages: French, Swahili, Italian, Greek, German, Turkish, Arabic, Spanish, English for Spanish Speakers)

"I want a good audio-based app and money's no object"

Pimsleur (Literally so many languages)

Glossika (Also a lot of languages, but minority languages are free)

*anecdote: I borrowed my brother's Japanese Pimsleur CD as a kid and I still remember how to say the weather is nice over a decade later. You can find the CDs at libraries and "other" places I'm sure.

"I have a pretty neat library card"

Mango (Languages: So many and all endangered/Indigenous courses are free even if you don't have a library that has a partnership with Mango)

"I want SRS flashcards and have an android"

AnkiDroid: (Theoretically all languages, pre-made decks can be found easily)

"I want SRS flashcards and I have an iphone"

AnkiApp: It's almost as good as AnkiDroid and free compared to the official Anki app for iphone

"I don't mind ads and just want to learn Korean"

lingory

"I want an app made for Mandarin that's BETTER than DL and has multiple languages to learn Mandarin in"

ChineseSkill (You can use their older version of the course for free)

"I don't like any of these apps you mentioned already, give me one more"

Bunpo: (Languages: Japanese, Spanish, French, German, Korean, and Mandarin)

[sintes-plant]

Data modeling and APIs | Intro to CS - Python | Khan Academy

Data modeling and APIs | Intro to CS - Python | Khan Academy by Khan Academy How can you keep giant dictionaries organized? Explore how data modeling makes data easier to understand by grouping related fields into smaller nested data structures. Learn how APIs use large structured dictionaries to pass data around the Internet. View the program used in this video at: https://ift.tt/DBvF3Pr Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now with our Intro to Computer Science - Python course! Course link: https://ift.tt/HFySJw1 Course playlist: https://www.youtube.com/playlist?list=PLSQl0a2vh4HDkbhG0sDW0b-VZXykEIAe5 Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://ift.tt/kVNeoqa Volunteer here: https://ift.tt/UHNwc6j TIMESTAMPS: 00:00 : breaking down a dictionary 00:47 : modeling student data 01:46 : organizing a document 02:18 : backend and frontend 02:48 : what is an API? 03:40 : JSON format

[eduvantec]

How to Learn Python from Scratch in 2025: A Beginner’s Guide

Python continues to be one of the most in-demand and beginner-friendly programming languages in 2025. Whether you're a student, aspiring developer, or working professional looking to upskill, learning Python from scratch is easier than ever — if you follow the right roadmap.

🎯 Step 1: Understand Why You’re Learning Python

Are you aiming for data science, web development, automation, or AI? Knowing your goal helps you stay focused and choose the right path. Python is versatile, so you can start simple and expand into your area of interest.

📚 Step 2: Start with the Basics

Begin with core Python concepts like:

Variables and Data Types

Loops and Conditionals

Functions and Modules

Lists, Tuples, and Dictionaries Use beginner platforms like W3Schools, Codecademy, or free YouTube tutorials. Practice as you go — don’t just read or watch.

💻 Step 3: Install Python and Use an IDE

Download the latest Python version from python.org. Use beginner-friendly IDEs like Thonny or VS Code. Try writing small scripts like a calculator, number guesser, or basic chatbot.

🧠 Step 4: Practice Every Day

Use platforms like HackerRank, LeetCode, or Replit to practice coding daily. Aim for 30–60 minutes of hands-on coding. Solving problems builds logic and confidence.

📊 Step 5: Learn by Building Projects

Apply what you learn by creating small projects like:

To-do app

Weather app using APIs

Simple games with Pygame Building helps reinforce concepts and improves your portfolio.

👨‍🏫 Step 6: Get Expert Help When Stuck

If you're struggling with assignments or need personalized guidance, reach out to experts at AllHomeworkAssignments.com. They offer reliable help for Python coding, debugging, and project development.

🧭 Final Thoughts

Python is easy to learn but requires consistency. With clear goals, daily practice, and the right resources, you’ll be writing powerful Python programs in no time. Start small, stay steady, and you’ll master Python from scratch in 2025.

[tudip123]

Revolutionizing Software Development: The Power of Generative AI in Coding

Generative AI has revolutionized the way developers approach coding. Tools like ChatGPT, GitHub Copilot, and Claude.ai are becoming integral parts of the development process, enhancing productivity, reducing errors, and sparking innovation. This blog delves into how these AI tools are transforming coding practices and what this means for the future of software development.

The Role of Generative AI in Coding

Generative AI models, built on advanced machine learning techniques, can understand and generate human-like text. When applied to coding, these tools assist developers by:

Code Generation:Automatically generating boilerplate code, entire functions, or even complete applications based on natural language prompts.

Code Completion: Suggesting the next lines of code in real-time as developers type.

Debugging Assistance: Identifying and fixing bugs by analyzing code and providing recommendations.

Learning and Onboarding: Helping new developers learn by providing clear explanations of code snippets and best practices.

Enhancing Creativity: Offering alternative solutions or creative ways to approach problems.

Key Generative AI Tools for Coding

1. ChatGPT

ChatGPT by OpenAI excels in natural language processing, making it a versatile assistant for developers. It can:

Generate code snippets from scratch.

Provide detailed explanations for complex algorithms.

Offer guidance on best practices in software design.

For example, if you’re working on a Python project and need a quick function for sorting a list of dictionaries by a key, you can simply ask ChatGPT to generate it for you:

Prompt: “Write a Python function to sort a list of dictionaries by a specific key.”

Response: from operator import item getter

def sort_dicts_by_key(lst, key):

    return sorted(lst, key=itemgetter(key))

# Example usage:

data = [

    {“name”: “Alice”, “age”: 25},

    {“name”: “Bob”, “age”: 30},

    {“name”: “Charlie”, “age”: 20}

]

sorted_data = sort_dicts_by_key(data, “age”)

print(sorted_data)

2. GitHub Copilot

GitHub Copilot, powered by OpenAI Codex, is a game-changer for real-time coding. Integrated directly into IDEs like VS Code, Copilot:

Provides instant suggestions for code completion.

Writes boilerplate code based on the context.

Helps developers adhere to coding standards and style guides.

For example, while working on a web development project, Copilot can autocomplete React component structures or generate API calls.

3. Claude.ai

Claude.ai, developed by Anthropic, focuses on safety and reliability, making it an excellent choice for projects where trust and explainability are critical. It can:

Generate and review code with an emphasis on security.

Explain potential vulnerabilities in code and suggest fixes.

Provide ethical guidelines for implementing AI in software.

For instance, Claude.ai might help secure an API by recommending OAuth2 implementation and explaining its advantages.

Practical Benefits of Using Generative AI in Development

Speed and Efficiency: With AI handling repetitive tasks like boilerplate code generation and debugging, developers can focus on solving core problems.

Improved Code Quality: AI tools not only write code but also enforce best practices and optimize for readability and maintainability.

Collaboration: Teams can use AI-generated documentation and explanations to stay aligned, even across diverse skill levels.

Accessibility: Generative AI lowers the barrier for entry, enabling beginners to create functional code with minimal experience.

Challenges and Considerations

While generative AI offers numerous advantages, there are challenges to keep in mind:

Accuracy: AI-generated code may not always be optimal or free of errors. Developers should verify and test the output.

Dependency: Over-reliance on AI can hinder the development of core coding skills.

Security: AI models can inadvertently suggest insecure code practices if not properly configured.

Ethical Concerns: The potential misuse of AI-generated code underscores the importance of ethical guidelines.

Best Practices for Using Generative AI in Coding

Understand the Code: Treat AI as an assistant, not a replacement. Always review and understand the generated code.

Iterate Collaboratively: Use AI tools to brainstorm solutions, but refine them collaboratively with your team.

Stay Updated: Keep up with updates to AI tools and ensure you’re using them in alignment with the latest guidelines.

Focus on Security: Leverage AI to identify vulnerabilities, but always validate its recommendations.

The Future of Generative AI in Software Development

Generative AI is poised to become even more integrated into the software development lifecycle. As these tools evolve, we can anticipate:

Advanced Customization: Tailoring AI models to specific projects or organizational standards.

Enhanced Collaboration: Real-time collaboration between human and AI developers.

Continuous Learning: AI tools that improve with usage, adapting to individual coding styles and preferences.

In conclusion, generative AI tools like ChatGPT, GitHub Copilot, and Claude.ai are transforming coding practices by streamlining processes, enhancing creativity, and fostering innovation. By embracing these technologies responsibly, developers can unlock new levels of productivity and innovation, shaping the future of software development.

Click the link below to learn more about the blog  Revolutionizing Software Development: https://tudip.com/blog-post/leveraging-generative-ai-in-coding-practices/.

[keploy]

YAML to JSON: A Comprehensive Guide

YAML (YAML Ain’t Markup Language) and JSON (JavaScript Object Notation) are both widely used data serialization formats. Although they serve similar purposes, there are scenarios where you might need to convert between the two formats. Converting YAML to JSON can be essential for compatibility with certain applications, software tools, or APIs. In this guide, we’ll explore the reasons for converting YAML to JSON, the process itself, the tools available—including Keploy—and best practices for seamless conversion.

What is YAML?

YAML is a human-readable data format often used for configuration files, data serialization, and data storage. Its simplicity and readability are among the reasons it’s widely adopted, especially in areas such as DevOps and configuration management.

Why YAML is Popular

YAML’s key strength lies in its straightforward syntax, which makes it easy for humans to read and write. It uses indentation (instead of braces or brackets) to represent data structure, making it more intuitive and visually appealing compared to JSON and XML.

Structure and Syntax of YAML

YAML’s structure is largely dependent on indentation, with key-value pairs denoted by a colon followed by a space. Lists are represented with dashes (-), while dictionaries or maps are created by nesting key-value pairs.

name: John Doe

age: 30

skills:

  - JavaScript

  - Python

What is JSON?

JSON is a lightweight, text-based format that is easy for both humans to read and machines to parse and generate. JSON is widely used for transmitting data in web applications, particularly between servers and web clients.

Why JSON is Widely Used

JSON’s compact structure makes it ideal for use in APIs and for data exchange between web services. It’s also a native format in JavaScript, making it very popular in web development environments. JSON supports a wide range of data types, including objects, arrays, numbers, and strings.

Structure and Syntax of JSON

Unlike YAML, JSON requires strict syntax rules. Objects are enclosed in curly braces ({}), and key-value pairs are separated by commas.

{

  "name": "John Doe",

  "age": 30,

  "skills": ["JavaScript", "Python"]

}

Why Convert YAML to JSON?

There are several reasons why you might need to convert YAML to JSON.

1. Compatibility with Software Tools

Many software applications, particularly those that interface with APIs or web services, require data in JSON format. Tools like Keploy, which automate test case generation, often work with JSON data, making it crucial to convert YAML when needed.

2. Efficient Data Exchange

JSON is more compact than YAML, which makes it more suitable for transmitting large datasets over networks. This is especially true in web development where performance and data transfer speed are critical.

3. Serialization in Web Development

Web applications often use JSON for data serialization. Since JavaScript natively supports JSON, many modern frameworks and libraries favor JSON over YAML for exchanging data between the client and server.

How to Convert YAML to JSON

You can convert YAML to JSON manually, with online tools, or programmatically.

1. Manual Conversion

For small files, you can manually replace YAML’s indentation with braces ({}), use colons (:) for key-value pairs, and replace lists (-) with square brackets ([]).

Example: YAML:

name: John

age: 30

skills:

  - JavaScript

  - Python

JSON:

json

Copy

{

  "name": "John",

  "age": 30,

  "skills": ["JavaScript", "Python"]

}

2. Conversion with Online Tools

There are many free online tools that allow you to paste your YAML and instantly convert it into JSON.

3. Conversion Using Programming Languages

For larger datasets or automated workflows, you can use programming languages like Python or JavaScript to convert YAML to JSON.

Python Example:

import yaml

import json

with open('data.yaml', 'r') as yaml_file:

    yaml_data = yaml.safe_load(yaml_file)

with open('data.json', 'w') as json_file:

    json.dump(yaml_data, json_file, indent=4)

JavaScript Example:

const yaml = require('js-yaml');

const fs = require('fs');

const yamlData = yaml.load(fs.readFileSync('data.yaml', 'utf8'));

fs.writeFileSync('data.json', JSON.stringify(yamlData, null, 4));

Challenges and Pitfalls in YAML to JSON Conversion

Although the conversion process is straightforward, there are some potential issues to be aware of.

1. Differences in Syntax

YAML is more flexible with its syntax, which can lead to difficulties when converting certain features like multi-line strings or complex data structures.

2. Handling Special Characters

Certain special characters, such as colons or hyphens, may have specific meanings in YAML, which can complicate the conversion.

3. Loss of Human Readability

One of YAML's key advantages is its human-readable format. JSON’s compact syntax can make the converted structure less readable.

Keploy: Simplifying Test Automation with YAML and JSON

Keploy is an open-source test case generation tool that automates API testing by capturing real user traffic and converting it into test cases. Keploy supports YAML-based test configurations, which can be converted to JSON for compatibility with testing frameworks.

Using Keploy for API Testing

Keploy captures API requests and responses in YAML format, but since many CI/CD pipelines and testing tools work with JSON, conversion might be necessary. Keploy ensures seamless integration with JSON-based testing frameworks, making it easier to execute test cases efficiently.

Example of Keploy YAML Test Case

name: GetUserAPI

request:

  method: GET

  url: "/api/user"

response:

  status: 200

  body:

    id: 123

    name: "John Doe"

Converted JSON format:

{

  "name": "GetUserAPI",

  "request": {

    "method": "GET",

    "url": "/api/user"

  },

  "response": {

    "status": 200,

    "body": {

      "id": 123,

      "name": "John Doe"

    }

  }

}

By converting Keploy-generated YAML test cases into JSON, you can integrate them with various API testing frameworks or CI/CD pipelines.

Best Practices for Working with YAML and JSON

Choose the Right Format – YAML is great for configurations, while JSON is ideal for APIs and data exchange.

Validate Your Data – Use linters to check for errors in both formats.

Use Automation Tools Like Keploy – Keploy can generate test cases in YAML and convert them to JSON as needed.

Conclusion Converting YAML to JSON is an essential skill for developers and testers working with configuration files, APIs, and automation tools. Whether you need to ensure compatibility with JSON-based frameworks, optimize data transmission, or integrate YAML configurations with Keploy, understanding this conversion process will help streamline your workflow. By using the right tools and following best practices, you can make YAML to JSON conversion seamless and error-free.

[devangriai]

Tools and Resources Required for English to Telugu Translation

With the growth of business and culture, communication in different languages has become more vital than ever. Whether it is for business expansion, cultural exchange, or personal relationships, creating a bridge of language has become of prime importance. Accurate English to Telugu translation is essential for reaching out to the Telugu-speaking population. This blog discusses the numerous tools and resources that help with proper, culturally sensitive translations, effectively connecting this thriving linguistic community.

Translation from one language to another is much more than a word exchange. It requires a lot of things, such as conveying meaning, context, and even cultural nuances. It is all the more when it is translated from English to Telugu because both of these languages differ in their grammatical structures and cultural backgrounds. Although some online tools provide you with instant solutions, accuracy and effectiveness often require a lot of resources and expert hands. This post will give you an understanding of some of the indispensable tools and resources of dictionaries and software, as well as professional human translation services that may assist you in navigating the maze of translation.

The right tools and resources can literally make a big difference in accurate translation. As technology advances at breakneck speed, quite a few options now exist for streamlining and improving the translation process. 

Top Resources And Tools You Can Use For English to Telugu Translation:

1. Web Translation Tools: 

Various web-based portals offer free translations from English to Telugu. They use sophisticated algorithms to translate words, phrases, or even an entire document quickly. They can be quite useful for simple word translations, although it is mentioned that the accuracy is not 100 percent in all cases.

2. Bilingual Dictionaries:

 You require a reliable Machine Translation API, especially one that translates English to Telugu, to provide the correct contextual usages and word meanings.

3. Translation Memory Software:

 TM software helps maintain consistency by saving the translated segments of text, which can be retrieved at any time. This is particularly helpful when technical or industry-specific documents are being translated, as it ensures that specific terms are used consistently throughout the document.

4. Human Translators: 

Technology has several advantages, yet there is no substitute for the expertise and understanding that a native speaker of English and Telugu would bring to the table. A professional translator is rightly armed with the necessary cultural knowledge and linguistic capability for proper transfer across contexts.

5. Community-based Forums: 

The forums where one can discuss language learning or translation with native speakers in community-based forums or social media groups may be really helpful in understanding any complex concepts or idiomatic expressions.

6. Professional Translation Solutions: 

For perfect accuracy, it is always advisable to hire a professional translation agency.

A machine translation API is best and specializes in translating different languages, including English into Telugu. If you’re looking for professional English to Telugu translation solutions, look no further than an AI-powered translation tool. We realize the power of language as a medium of communication, so we offer translation in English and Telugu. Therefore, all our translations are technically sound and culturally apt.

Devnagri AI for Professional English to Telugu Translation

Devnagri AI is one of the most reliable translation companies in the industry. With years of experience, the company has prioritized quality, attention to detail, and customer satisfaction. Translating legal documents, marketing materials, or even website content is not too challenging for the company, which handles every project with precision and efficiency.

[removeload-academy]

Python Fundamentals for New Coders: Everything You Need to Know

Learning Python is an exciting journey, especially for new coders who want to explore the fundamentals of programming. Known for its simplicity and readability, Python is an ideal language for beginners and professionals alike. From understanding basic syntax to mastering more advanced concepts, Python equips you with tools to build everything from small scripts to full-scale applications. In this article, we’ll explore some core Python skills every new coder should know, such as file handling, reading and writing files, and handling data in various formats.

One essential skill in Python is file handling, which is vital for working with external data sources. Our Python file handling tutorial covers how to open, read, write, and close files. In real-world applications, you often need to process data stored in files, whether for analysis or to store program output. File handling enables you to manage these files directly from your Python code. With just a few commands, you can open a file, modify its contents, or create a new file. This skill becomes especially valuable as you begin working with larger projects that rely on reading or writing to files.

Once you understand file handling basics, you can dive deeper into how Python works with different types of files. One common use case for file handling is working with CSV files, which store data in a table-like format. Python CSV file handling allows you to read and write data organized in rows and columns, making it easy to process structured data. With Python’s built-in csv module, you can access and manipulate CSV files effortlessly. For example, if you have a list of students and their grades in a CSV file, you can use Python to calculate average grades or filter data. Understanding how to handle CSV files helps you manage structured data effectively and is a critical skill for any data-related task.

Moving on, another key skill is working with file content—specifically, learning to read and write files in various formats. Python offers a variety of methods for reading files line-by-line or loading the entire content at once. Writing to files is just as simple, allowing you to add new data or update existing information. For instance, in a data analysis project, you might read raw data from a file, process it, and save the results to another file. This read-and-write capability forms the backbone of many Python programs, particularly when dealing with external data.

Finally, many applications require more complex data storage and exchange formats, such as JSON. Python JSON data processing is essential for working with APIs or handling nested data structures. JSON, which stands for JavaScript Object Notation, is a popular format for representing structured data. Using Python’s json module, you can easily convert JSON data into Python dictionaries and vice versa. This ability to parse and write JSON data is crucial for building applications that interact with web services, allowing you to read data from an online source and process it in your program. As you gain more experience, you’ll find JSON data handling indispensable for projects involving external APIs and structured data storage.

Our company is committed to helping students learn programming languages through clear, straightforward tutorials. Our free online e-learning portal provides Python tutorials specifically designed for beginners, with live examples that bring each concept to life. Every tutorial is written in an easy-to-understand style, ensuring that even complex topics are approachable. Whether you’re a student or a hobbyist, our tutorials give you the practical tools to start coding confidently.

In summary, understanding Python fundamentals such as file handling, CSV and JSON processing, and read/write operations can take you far in your coding journey. Each of these skills contributes to building powerful applications, from data analysis scripts to interactive web applications. By mastering these concepts, you’ll be well-prepared to tackle real-world coding challenges, and our platform will support you every step of the way. With consistent practice and our structured tutorials, you’ll gain the confidence to explore Python and bring your ideas to life.

[messagedly]

Increasing Your Sales Using a WhatsApp Business API Platform

Boost your sales by using WhatsApp Business API. It makes customer communication easier, automates responses, and keeps customers engaged. With personalized interactions and efficient support, you'll see higher conversion rates. Upgrade your business communication and watch your sales grow with WhatsApp!

[lencykorien]

Top 5 Ways Gen AI Is Revolutionizing DevOps

DevOps is continuously evolving, and Gen AI is at the forefront of this transformation. By automating tasks and boosting overall productivity, Gen AI is reshaping the future of software development. Here are the top 5 use cases that showcase the impact of Gen AI in DevOps Services:

1. Boosting development: Picture a world where writing code becomes a very simple collaboration between a developer and AI. Gen AI models can assess pre-written codes and produce code snippets, functions, or even entire according to your specific requirements. This results in: reduced monotonous coding, reduced errors, and enhanced developer productivity.

Tools you can use: AlphaCode Sample prompts: Generate function to get emails by user IDs (list) from DB, return dictionary (user ID: email)

2. Enhanced Testing (Autopilot): Testing is crucial, but curating comprehensive test cases can be time-consuming. Gen AI automates the complete process by producing diverse test cases, creating realistic test data, and freeing up developer productivity.

Tools you can use: Testim.io Sample prompts: Generate comprehensive test cases for the login functionality, covering various user inputs and edge cases (e.g., invalid username, empty password, special characters).

3. Infrastructure as Code: Infrastructure as Code (IaC) provides multiple benefits, but managing IaC templates can be complex and tedious. Gen AI makes the entire process easy by Automating IaC template generation, Ensuring consistency and efficiency in every deployment, and empowering infrastructure management by handling monotonous tasks.

Tools you can use: AWS CloudFormation Sample prompts: Based on existing infrastructure configuration, generate a Terraform template for provisioning resources in the AWS cloud.

4. Documentation: Maintaining accurate and up-to-date documentation is a consistent challenge. Gen AI can eradicate this burden by generating documentation from different sources and Improving knowledge sharing.

Tools you can use: Google AI Platform AutoML Documentation Sample prompts: Based on the comments and code examples in the user_management module, generate API documentation for its functionalities.

5. Proactive Problem Detection: Picture a system that can highlight potential issues before they even occur. Gen AI can identify system logs, application performance metrics, and infrastructure health data to detect anomalies proactively, solve root cause Yo

Here You can find more info about- Gen AI Is Revolutionizing DevOps , Hybrid Cloud Implementation, Kubernetes Implementation, CI/CD Consulting .

[cognispark]

Uncovering the Top 5 Best Language Translators Online: An In-Depth Guide 

Introduction To The Language Translator Online 

In today’s globalized world, the ability to communicate effectively across languages is becoming increasingly important. Whether for business, travel, or personal reasons, the need for accurate and reliable language translation is on the rise. This is where different language translator online comes in handy. With the proliferation of the internet and mobile devices, online language translators have become a go-to solution for people seeking to communicate effectively across languages. 

However, it’s important to note that despite the advancements in technology, machine translation is not a replacement for human translators. The nuances and subtleties of language are best conveyed by a human translator, who can bring a level of cultural understanding and context to the translation that machines cannot match.  

In this article, we’ll take a closer look at the 5 best language translator online tools available today, so you can find the one that fits your needs best. 

Evolution Of Language Translation Technology And Its Impact On Global Communication 

Language translation technology has come a long way over the years and has had a profound impact on global communication. From early translation tools to the sophisticated different language translator online tools available today, the advancements in technology have made it easier for people to communicate across cultures and borders. In this article, we’ll take a closer look at the evolution of language translation technology and its impact on global communication. 

Here Is How 

Early translation tools: Relied on dictionaries and human translators, limiting speed and accuracy. 

Introduction of online translators: Enabled fast and accurate translations, fostering global communication 

Advancements in technology: Integration of AI and machine learning improved online translation tools. 

Impact on global communication: Broke down language barriers, facilitating cross-cultural communication and business. 

Prospects: Bright with AI advancements promising even faster and more accurate translations. 

Top 5 Best AI Language Translators 

CogniSpark Language translator 

Google Translate 

Microsoft Translator 

iTranslate 

DeepL Translator 

CogniSpark Language Translator 

CogniSpark Language Translator is an AI-based language translator that uses cutting-edge technology to provide accurate and efficient translations. This solution has several features 

CogniSpark Language Translator: 

AI-based, offers Automatic Language Detection, Machine Translation, Text-to-Speech, and Speech-to-Text. 

Supports various languages, aids communication, collaboration, and productivity. 

Also available as Paradiso Kapture screen capture tool. 

 

Google Translate: 

Free service by Google, translates text, speech, images, and web pages. 

Uses neural machine translation for accuracy, available online and as mobile app. 

Microsoft Translator: 

Neural network technology supports over 60 languages. 

Offers text, speech, and image translation, available on web and mobile. 

iTranslate: 

Offers translations in over 100 languages, features voice recognition and offline translation. 

Available as website, browser extension, and mobile app. 

DeepL Translator: 

Utilizes neural machine translation for highly accurate, natural-sounding translations. 

Offers translations in over 20 languages, web-based interface, and API for integration. 

In conclusion, language translation technology has advanced significantly, enhancing global communication. While AI-powered tools improve speed and accuracy, human translators remain crucial for conveying cultural nuances. Future advancements may include British accent translation, further easing language barriers and fostering collaboration across cultures for a more connected world. 

[robskinder]

A lot has changed across Twitter over the past few months, much of it having impacted me directly. While I’ve had an ordinary account there for years, more recently I’ve created developer accounts, and on them applications (’bots’ if you will), coded programs that can interact with Twitter automatically. The first one of these was the Love Every Word Bot (@lovingeveryword).

With great misfortune, it is confirmed to have been completely lost. The circumstances behind this are unclear, but this year, the account was deactivated by Twitter themselves and unrecoverable soon after. The Love Every Word Bot, at its peak, had a follower count that was over 9,000 (not intended to be a Dragon Ball Z reference, the account literally had slightly over 9,000 followers before its demise) and was regularly interacted with. Every half hour, Love Every Word posted a word from the English dictionary with the word ‘love’ in front of it, and sometimes interacted with its spiritual twin account Fuck Every Word 2.0 (@fckeveryword). Ever since June 2019 it was active. Now it is time to move on.

Since then I spent some time formulating a backup plan to replace the original Love Every Word. Meanwhile, the Sailor Moon Script Bot (@sailormscript, tweeting dialogue from the English dub of Sailor Moon), one of the other developer accounts I created, continued its run. Eventually, I was ready to resurrect Love Every Word and its mission. On April 17th it made its return, as Love Every Word 2.0 Bot (@hearteveryword) with upgrades such as being able to provide word definitions. Both accounts may be in need of further updating, however, after what is supposed to occur on Twitter in the next few days.

To those who may not know, the Twitter corporation has been gradually closing off access to its API, which simply, is an interface that allows programs to communicate with each other. There is a version 2 that must be migrated to, but I cannot with the current applications that support both Love Every Word 2.0 and Sailor Moon Script bots. There is something I can do about this, but it’s possible either account may be put offline for a while. The good news is that in the end, both accounts are eligible to continue operating under the Free plan, which is designed for developer accounts that make little use of the API. Bad news is, Twitter’s new plans will rule out many other developers from continuing to operate there at all. Many fan-favorite bot accounts are in danger of dying, as they cannot afford to subscribe to Twitter’s new plans to continue their use of the API. While there’s great uncertainty with what direction the website is taking, preparation’s a good idea, and that’s what I‘m trying to do with what may happen.

[fretzine]

API Development

This week I have been developing my knowledge of using APIs within my web app using the javascript Fetch API. In the small app below I have used the dictionary API (which is free, link below):

Free Dictionary API

This very basic API returns a JSON with a meaning of the world and audio snippet of how to pronounce the word. I followed along to a very good tutorial on YouTube to help build this app which is here:

(43) JavaScript Project in 5 min - English Dictionary Project #HTML, #CSS and #JavaScript - YouTube

You can see the finished product below:

As you can see this is a very good example of working with a very basic API. It basically returns a JSON object which we then turn into an iterable JS object with the .json() method. You can see a snippet of the script below:

Once we have generated an object we can point to the data within its arrays and assign it to the innerText or 'src' (audio) of the website's elements.

Some further learning required to understand exactly how this works is:

Promises

Async functions

Await

Although this is basic I plan to go to Rapid API and look through the various free APIs available and build a bigger application that requires API keys, options which are included within the API calls header.

More to follow.

[omoshiroinihongo]

Is kamesame totally free? I know kaniwani only has levels 1 to 3 (?) for free but anything more needs a subscription.

It's free and runs its infrastructure through donations. I have seen comments from the site owner that if they do ever add a paid model, it's more of adding quality-of-life features for paid users.

This is from the first post on this page:

Hello, Internet! KameSame is a free Japanese learning tool that is designed to offer a fast, streamlined user interface and a robust feature set that provide users with a variety of ways to learn Japanese. Because it features a complete dictionary, it can be your primary Japanese learning tool for years to come.

Highlights

Four ways to do lessons for over 10,000 kanji and over 180,000 vocabulary:

From a list (e.g. N5 vocabulary, Top 10,000 Words, or Level 11-20 WaniKani Kanji)

From your WaniKani progress [Requires WaniKani API Key]

From free-from Japanese language content (i.e. pasting in lyrics, transcripts, articles)

From searching for any item and starting a one-off lesson

Study both production (typing in Japanese) and recognition (providing English definitions) skills

Audio recordings for every reading of every word (around 300,000 recordings)

Keyboard navigation and shortcuts for nearly every user interface action (see them with / key)

A mobile-optimized Progressive Web App experience

Customizable Japanese spellings and English definitions for every word

An experience point (XP) system as you do reviews spanning 100 levels

Resource links for every word to other dictionaries, image searches, example sentences, and news articles

An “alternate match” system so that you aren’t marked wrong when you provide a Japanese word that also means what the system was expecting

One-click study actions like undo, mark-as-failed, learn/burn (and unlearn/unburn), skip, and block items

Every page is safe to reload the page and navigate back & forward in the browser history

[navihunter445]

Dictionary Nepali To English Translation

Nepali Language To English

Translate Google Nepali To English

Convert English to Preeti Font using this online Tool. This application helps you to translate into English to Nepali.This application helps you in Nepali Typing.Similarly, other functions of the app provided here are Date conversion, English to Nepali Dictionary, and Nepali Calendar. Nepali Dictionary. The Nepali dictionary contains more than 150,000 words. The letters are written in Devanagari script, derived from Brahmi script, and based on Sanskrit. Native English readers will be happy to learn that Nepali is read from left to right (like English). Capital letters are written the same as lower-case letters. Learn the translation for ‘nepali’ in LEO’s English ⇔ German dictionary. With noun/verb tables for the different cases and tenses links to audio pronunciation and relevant forum discussions free vocabulary trainer. About English Nepali Dictionary (Beta) EnglishNepaliDictionary.com is a FREE online dictionary to quickly search Nepali meanings of English words. The website is designed to serve as an an easy-to-use web dictionary accessible with any desktop or mobile browser.

Nepali Language To English

English to Nepali Translation is the language-translation tool powered by Google Translation API. Online language translator provides the most convenient access to online translation service. Our free English to Nepali online translator offers quick and accurate translations right at your fingertips. Please type in the word or phrase to translate, and our Free Translation Tool will help you out. If you have a more significant project, in that case, you need a human translation. So Hire Professional Translation Service and get the fastest turnaround time in the industry and is 100% accurate.

Google Translate English to Nepali is a third-party service provided by Google, performs all translations directly and dynamically. English to Nepali online language Translation offers the most convenient access to the online translation service. English to Nepali Translation platform includes online translation service, English-Nepali reference dictionary, English and Nepali text-to-speech services, spell-checking software, etc.

Translate Google Nepali To English

Google's English to Nepali Translation is a free service that instantly translates words, phrases, and web pages. Our program for translating languages not only converts text from English to Nepali but retains the sense of the original version. Use our applications to translate a text in Nepali easily and efficiently for free. Our website provides an open alternative to Google's English to Nepali translation service and translates from Nepali to English.