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📈 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 55 732 подписчиков, занимая 2 363 место в категории Технологии и приложения и 6 069 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 55 732 подписчиков.
Согласно последним данным от 09 ноября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -260, а за последние 24 часа — -23, при этом общий охват остаётся высоким.
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- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 2.24%. В первые 24 часа после публикации контент обычно набирает 0.60% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 1 247 просмотров. В течение первых суток публикация набирает 333 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
- 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 10 ноября, 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.
55 732
Подписчики
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-777 дней
-26030 дней
Архив постов
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/
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
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
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 #webVisualize 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
HTTP Requests
🔸Requests is an elegant and simple HTTP library for Python. It allows you to send HTTP/1.1 requests extremely easy, so you can focus on interacting with services and consuming data in your application.
⚙️Installation
pip install requests
The most-commonly-used HTTP methods are GET and POST:
requests.get(url)
requests.post(url, data=somedictdata)
Each of there functions returns a Response. It's a really powerful object for inspecting the results of the request. We can get all the information we need from this object like text, status code or encoding.
🔗Docs
🔗Python’s Requests Library (Guide)
#requests