Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India6 402 Technologies & Applications2 381...

📈 Analytical overview of Telegram channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Channel Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) in the English language segment is an active participant. Currently, the community unites 56 136 subscribers, ranking 2 381 in the Technologies & Applications category and 6 402 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 56 136 subscribers.

According to the latest data from 20 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 146 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.32%. Within the first 24 hours after publication, content typically collects 0.66% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 303 views. Within the first day, a publication typically gains 369 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
Thematic interests: Content is focused on key topics such as algorithm, structure, stack, javascript, programming.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

Thanks to the high frequency of updates (latest data received on 21 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

56 136

Subscribers

-1224 hours

-137 days

+14630 days

1 303

Post views

~ 36924 hours

~ 50648 hours

2.32%

Engagement rate

~ 1

Posts per day

Ads index

beta

Posts Archive

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Natural Language Processing with Python (2009).pdf3.08 MB

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Game Programming with Python, Lua, and Ruby (2003).pdf2.73 MB

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Beginning_Python_From_Novice_to.pdf2.71 MB

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Data Structures and Algorithms in Java, 6th Edition.pdf10.10 MB

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Android Studio Essentials.pdf14.01 MB

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hadoop with python.pdf1.75 MB

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How to Make Mistakes in Python.pdf1.80 MB

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Data Structures and Algorithms in C++

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Effective_Java.pdf20.94 MB

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Java_Programming.pdf11.35 MB

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✅ Data Structures and Algorithms in C++

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✅ The C++ Programming Language, 4th Edition

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Python Basics: A Self-Teaching Introduction

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Algorithms_for_Data_Science_by_Brian_Steele,_John_Chandler,_Swarna.pdf10.35 MB

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https://www.typinglounge.com/how-to-type-faster

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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