Python Courses & Resources
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Master Python with step-by-step courses – from basics to advanced projects and practical applications.
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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

⭐️ 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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🔥 MIT has updated its famous course 6.S191: Introduction to Deep Learning.

The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.

The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.

The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available

.

All slides, #code and additional materials can be found at the link provided.

📌 Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming  #Keras

https://t.me/CodeProgrammer
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Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

What you will learn
:

The Sneak Peek program provides early access to Pearson video courses, allowing subscribers to study materials as they are being developed. Content can be updated throughout the entire creation cycle, including editing and post-production.

tags: #python #datascience

🖥 By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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Python_Data_Visualization_Create_impactful_visuals,_animations_and.rar
1.4 GB
Python Data Visualization: Create impactful visuals, animations and dashboards [EN]

tags: #python #datascience #ai

🖥 By: https://t.me/Python53

⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️
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🐍 10 Free Courses to Learn Python

👩🏻‍💻 These top-notch resources can take your #Python skills several levels higher. The best part is that they are all completely free!


1⃣ Comprehensive Python Course for Beginners

📃A complete video course that teaches Python from basic to advanced with clear and organized explanations.


2⃣ Intensive Python Training

📃A 4-hour intensive course, fast, focused, and to the point.


3⃣ Comprehensive Python Course

📃Training with lots of real examples and exercises.


4⃣ Introduction to Python

📃Learn the fundamentals with a focus on logic, clean coding, and solving real problems.


5⃣ Automate Daily Tasks with Python

📃Learn how to automate your daily project tasks with Python.


6⃣ Learn Python with Interactive Practice

📃Interactive lessons with real data and practical exercises.


7⃣ Scientific Computing with Python

📃Project-based, for those who want to work with data and scientific analysis.


8⃣ Step-by-Step Python Training

📃Step-by-step and short training for beginners with interactive exercises.


9⃣ Google's Python Class

📃A course by Google engineers with real exercises and professional tips.


1⃣ Introduction to Programming with Python

📃University-level content for conceptual learning and problem-solving with exercises and projects.

🌐 #DataScience #DataScience

https://t.me/CodeProgrammer
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💯 This free course will increase your coding speed by 20 times!

👨🏻‍💻 The new DeepLearning.AI course on Claude Code, a very advanced intelligent assistant for coding that works for you like a real agent.


Main skills:
🛑 Building RAG chatbots with full explanation
🛑 Configuring the CLAUDE.md file - project history logging
🛑 Writing complete tests and refactoring old code



More advanced workflows:
🛑 Working with git worktree for multiple features simultaneously
🛑 Full GitHub automation
🛑 Implementing pre- and post-deploy hooks



Real projects you will build in this course:
🛑 Converting notebooks into analytical dashboards
🛑 Connecting Figma designs to Claude
🛑 Building financial interfaces with Central Bank API
🛑 Automating UI tests with Playwright

🖥 Claude Code: Coding Assistant
🖥 Claude Code: Coding Assistant

🌐 #Data_Science #DataScience

https://t.me/Python53
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🔅 Hands-On Data Science using SQL, Tableau, Python, and Spark

📝 Get practical, hands-on data science experience using SQL, Tableau, Python, and Spark.

🌐 Author: Ben Sullins
🔰 Level: Intermediate
Duration: 1h 13m

📋 Topics: #DataScience, #SQL, #Python
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Data scientists are in high demand right now: there's just too much data to analyze.

In this course, Tatev and Vae teach #Python for #DataScience.

You'll be doing projects and exploring EDA, A/B testing, BI, and more.

https://t.me/Python53 🌟
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Ex_Files_Python_for_Data_Science_Tips.zip
4.8 MB
🔅 Python for Data Science Tips, Tricks, and Techniques

📋 Topics: #DataScience, #Python

https://t.me/Python53
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