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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
Ko'proq ko'rsatish📈 Telegram kanali Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books analitikasi
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 56 136 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 381-o'rinni va Hindiston mintaqasida 6 402-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 56 136 obunachiga ega bo‘ldi.
20 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 146 ga, so‘nggi 24 soatda esa -12 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.32% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.66% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 303 marta ko‘riladi; birinchi sutkada odatda 369 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 7 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent algorithm, structure, stack, javascript, programming kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Everything about programming for beginners
* Python programming
* Java programming
* App development
* Machine Learning
* Data Science
Managed by: @love_data”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 21 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
56 136
Obunachilar
-1224 soatlar
-137 kunlar
+14630 kunlar
Postlar arxiv
Natural Language Processing with Python (2009).pdf3.08 MB
Game Programming with Python, Lua, and Ruby (2003).pdf2.73 MB
Beginning_Python_From_Novice_to.pdf2.71 MB
Data Structures and Algorithms in Java, 6th Edition.pdf10.10 MB
Android Studio Essentials.pdf14.01 MB
hadoop with python.pdf1.75 MB
How to Make Mistakes in Python.pdf1.80 MB
Data Structures and Algorithms in C++
Effective_Java.pdf20.94 MB
Java_Programming.pdf11.35 MB
✅ Data Structures and Algorithms in C++
✅ The C++ Programming Language, 4th Edition
Python Basics: A Self-Teaching Introduction
Algorithms_for_Data_Science_by_Brian_Steele,_John_Chandler,_Swarna.pdf10.35 MB
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
