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Сеть:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert Индия6 402 Технологии и приложения2 381...

📈 Аналитический обзор Telegram-канала Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 56 136 подписчиков, занимая 2 381 место в категории Технологии и приложения и 6 402 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 56 136 подписчиков.

Согласно последним данным от 20 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 146, а за последние 24 часа — -12, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.32%. В первые 24 часа после публикации контент обычно набирает 0.66% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 1 303 просмотров. В течение первых суток публикация набирает 369 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 7.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как algorithm, structure, stack, javascript, programming.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

Благодаря высокой частоте обновлений (последние данные получены 21 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

56 136

Подписчики

-1224 часа

-137 дней

+14630 день

1 303

Просмотры поста

~ 36924 часа

~ 50648 часов

2.32%

Коэффициент вовлеченности

~ 1

Постов в день

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50 Great Websites For Web Developers 1. Hidden Tools - https://hiddentools.dev/ 2. Music For Programming - https://musicforprogramming.net/ 3. Programming Language Convertor - https://ide.onelang.io/ 4. HTTP Cat - https://http.cat/ 5. Iconscout - https://iconscout.com/ 6. CSS Zen Garden - http://www.csszengarden.com/ 7. A List Apart - https://alistapart.com/ 8. Code Project - https://www.codeproject.com/ 9. Scotch - https://scotch.io/ 10. TutsPlus - https://tutsplus.com/ 11. Creative Blog - https://www.creativebloq.com/ 12. Codrops - https://tympanus.net/codrops/ 13. MDN Web Docs - https://developer.mozilla.org/zh-CN/ 14. The Odin Project - https://www.theodinproject.com/ 15. Code Wars - https://www.codewars.com/ 16. WpSessions - https://wpsessions.com/ 17. CSS Autor - https://cssauthor.com/ 18. Laracasts - https://laracasts.com/ 19. Web Design News - https://www.webdesignernews.com/ 20. UX Movement - https://uxmovement.com/ 21. Educated Guy - https://www.educatedguy.in/ 22. Trianglify - https://trianglify.io/ 23. CSS Tricks - https://css-tricks.com/ 24. Free Frontend - https://freefrontend.com/ 25. Code My UI - https://codemyui.com/ 26. CSS Reference - https://cssreference.io/ 27. HTML Reference - https://htmlreference.io/ 28. Frontend Mentor - https://www.frontendmentor.io/ 29. Site Point - https://www.sitepoint.com/ 30. Free CSS - https://www.free-css.com/ 31. Awesome Python - https://pythonawesome.com/ 32. Fun JavaScript Projects - https://fun-javascript-projects.com/ 33. Daily Dev - https://daily.dev/ 34. Dev Docs - https://devdocs.io/ 35. ShortCode Dev - https://shortcode.dev/ 36. What Runs - https://www.whatruns.com/ 37. 1LOC - https://1loc.dev/ 38. Web Code Tools - https://webcode.tools/ 39. Am i Responsive - http://ami.responsivedesign.is/ 40. Shape Divider - https://www.shapedivider.app/ 41. Fancy Border Radius - https://9elements.github.io/fancy-border-radius/ 42. CSS Gradient - https://cssgradient.io/ 43. CSS Clip Path - https://bennettfeely.com/clippy/ 44. CSS Layout - https://csslayout.io/ 45. 30 Seconds Of Code - https://www.30secondsofcode.org/ 46. Undraw - https://undraw.co/ 47. Humaaans - https://www.humaaans.com/ 48. W3 Layouts - https://w3layouts.com/ 49. Templatemo - https://templatemo.com/ 50. Tooplate - https://www.tooplate.com/

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Python Learning Courses provided by Microsoft 📚 Recently, I found out that Microsoft provides quality online courses related to Python on Microsoft Learn. Microsoft Learn is a free online platform that provides access to a set of training courses for the acquisition and improvement of digital skills. Each course is designed as a module, each module contains different lessons and exercises. Below are the modules related to Python learning. 🟢Beginner 1. What is Python? 2. Introduction to Python 3. Take your first steps with Python 4. Set up your Python beginner development environment with Visual Studio Code 5. Branch code execution with the if...elif...else statement in Python 6. Manipulate and format string data for display in Python 7. Perform mathematical operations on numeric data in Python 8. Iterate through code blocks by using the while statement 9. Import standard library modules to add features to Python programs 10. Create reusable functionality with functions in Python 11. Manage a sequence of data by using Python lists 12. Write basic Python in Notebooks 13. Count the number of Moon rocks by type using Python 14. Code control statements in Python 15. Introduction to Python for space exploration 16. Install coding tools for Python development 17. Discover the role of Python in space exploration 18. Crack the code and reveal a secret with Python and Visual Studio Code 19. Introduction to object-oriented programming with Python 20. Use Python basics to solve mysteries and find answers 21. Predict meteor showers by using Python and Visual Studio Code 22. Plan a Moon mission by using Python pandas 🟠Intermediate 1. Create machine learning models 2. Explore and analyze data with Python 3. Build an AI web app by using Python and Flask 4. Get started with Django 5. Architect full-stack applications and automate deployments with GitHub #materials

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How to create an algorithmic trading bot with Python 💰 ♦️In this series you will learn how to create your own trading bot with Python. This is a really cool project, but also definitely not for beginners. In order to complete this bot, you will need to create a complex application using the following Python modules: ▪️Pandas ▪️Flask ▪️Plotly 📚Contents 1. Overview 2. Design 3. Getting financial data into Python 4. Open a trade using the MT5 API with Python 5. Close a trade with MT5 using Python 6. Creating an algotrader/trading bot with Python – Part 1 7. Creating an algotrader/trading bot with Python – Part 2 8. Creating an algotrader/trading bot with Python – Part 3 9. Creating a strategy for your algorithmic trading bot – Part 1 10. Creating a strategy for your algorithmic trading bot – Part 2 11. Dynamically calculate lot size for your algorithmic trading bot 12. Send messages from Python to Slack 13. Send an email from Python 14. Trade management for the algorithmic trading bot #materials #trading

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Web Scraping in Python 🔸Scrapy is an open source and collaborative framework for extracting the data you need from websites. It gives you all the tools you need to efficiently extract data from websites, process them as you want, and store them in your preferred structure and format. Unlike BeautifulSoup, which you may have heard of, Scrapy is a tool specifically created for downloading, cleaning and saving data from the web and will help you end-to-end; whereas BeautifulSoup is a smaller package which will only help you get information out of webpages. ⚙️Installation

pip install scrapy

🔗Homepage 🔗GitHub 🔗[Tutorial] Making Web Crawlers Using Scrapy for Python #scrapy #web

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Visualize code execution Have you ever had a hard time understanding what is going on in your code? Python Tutor's online coding environment allows you to write code and visualize frame-by-frame how it gets executed by the computer. Besides Python, It's also supports Java, C/C++, JavaScript and Ruby. Just pick a language, write some code, press the "Visualize Execution" button and you’ll be redirected to a page, where all the magic happens. 💫 🔗Python Tutor's homepage #tools