Python Courses & Resources
前往频道在 Telegram
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
显示更多📈 Telegram 频道 Python Courses & Resources 的分析概览
频道 Python Courses & Resources (@python53) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 49 111 名订阅者,在 教育 类别中位列第 3 610,并在 印度 地区排名第 7 855 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 49 111 名订阅者。
根据 09 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 523,过去 24 小时变化为 23,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 2.62%。内容发布后 24 小时内通常能获得 1.15% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 287 次浏览,首日通常累积 563 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 3。
- 主题关注点: 内容集中在 consultation, dentist, insidead, waybienad, appointment 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“Master Python with step-by-step courses – from basics to advanced projects and practical applications.”
凭借高频更新(最新数据采集于 10 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。
49 111
订阅者
+2324 小时
+1257 天
+52330 天
帖子存档
Python Guided Project Building Tic-Tac-Toe from Scratch [EN]
🎓 What will you learn?
This #course is designed for beginners who want to learn #Python by creating a Tic Tac Toe game.
You will learn how to program game logic using random numbers, without the need for user input.
This is a practical introduction to #IT and programming with an emphasis on developing skills that are in demand in the industry.
🖥 By: https://t.me/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
More likes = more courses 😜
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
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🖥 25 VS Code Productivity Tips and Speed Hacks
Learn 25 VS Code tips and tricks that will help you write code faster. Try out awesome new features and extensions that turn your editor into a full-blown IDE.🔗 Resources VS Code https://code.visualstudio.com/ Remote Repositories https://code.visualstudio.com/blogs/2021/06/10/remote-repositories 📚 Chapters
00:00 Intro 00:35 1. VS Code CLI 01:03 2. Release the Mouse 01:45 3. Command Palette Ctrl+P 02:10 4. Run Commands 02:25 5. Quokka 02:43 6. Find Symbols with @ 03:14 7. Find symbols with # 03:36 8. Move Around Quickly 04:07 9. Multiline Editing 04:23 10. Auto Rename Tag 04:47 11. Delete or move a line 05:16 12. Highlight & Comment Lines 05:39 13. JS Doc Extension 06:07 14. Better Comments 06:20 15. Integrated Terminal 07:14 16. Tasks 07:38 17. Git Source Control 08:26 18. Git Lens Extension 08:40 19. Remote Repositories 09:14 20. Remote SSH & Containers 09:31 21. Custom Snippets 10:01 22. Community Snippets 10:13 23. Auto-create directories 10:29 24. Paste as JSON 10:50 25. Rename Symbol
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👩💻 Complete FastAPI Course in Python!
🔗 Link: https://www.youtube.com/playlist?list=PL8VzFQ8k4U1L5QpSapVEzoSfob-4CR8zM
⭐️ Tags: #PythonCheatSheet #PythonProgramming #DataScience #CodingTips #Python3 #LearnPython #ProgrammingGuide #PythonSyntax #CodeSnippets #DataStructures #OOP #Regex #ErrorHandling #PythonLibraries #CodingReference #PythonTricks #TechResources #DeveloperTools #PythonForBeginners #AdvancedPython⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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🖥 Next Level Python: Become a Python Expert [EN]
🖥 By: https://t.me/Python53
⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
More likes = more courses 😜
🖥 Next Level Python: Become a Python Expert [EN]
What you will learn :
This course will help you deepen your knowledge of #Python by covering type annotations, advanced classes, functional #programming, concurrency, iterators, and generators. You will learn how to optimize your code and write more efficient programs through practical examples and exercises.🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
Our channel on WhatsApp
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Python, Bash and SQL Essentials for Data Engineering Specialization
What you'll learn
Develop #dataengineering solutions with a minimal and essential subset of the Python language and the Linux environment
Design scripts to connect and query a #SQL #database using #Python
Use a #scraping library in Python to read, identify and extract data from websites
Enroll Free: https://www.coursera.org/specializations/python-bash-sql-data-engineering-duke
🖥 By: https://t.me/Python53
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MIT OCW 6.100L Introduction to CS and Programming using #Python (Fall 2022)
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