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Master Python with step-by-step courses – from basics to advanced projects and practical applications. Admin: @HusseinSheikho

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Python Courses & Resources

🔅 Python Quick Start

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Python Guided Project Building Tic-Tac-Toe from Scratch [EN]

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0️⃣ Python
1️⃣ Data Science
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👩‍💻 Complete FastAPI Course in Python!

🔗 Link: https://www.youtube.com/playlist?list=PL8VzFQ8k4U1L5QpSapVEzoSfob-4CR8zM

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🖥 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.


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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

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MIT OCW 6.100L Introduction to CS and Programming using Python (Fall 2022)

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The Best Python Cheat Sheet

Unlock Python mastery with *The Best Python Cheat Sheet* (2024 Edition)! Perfect for coders and data scientists, this comprehensive guide covers Python 3.8+ syntax, built-in functions, flow control, lists, dictionaries, generators, decorators, regex, OOP, error handling, and more. Includes ready-to-use code snippets, operator precedence rules, context managers, match-case patterns, and advanced topics like scope management and execution environments. Ideal for quick reference, interviews, or daily coding tasks. Download now to boost your Python skills!

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⌨️ ⌨️ VS Code for Python Developers

#python

People choose VS Code because it's clean and simple. But that simplicity belies a massive amount of functionality that is out there to discover. That's the goal of this course, to take you from simply using VS Code to really leveraging its true potential.
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🪙 Everything you need to get started in machine learning.

Start with Python, explore scikit-learn, and neural networks using PyTorch. Perfect for beginners—get the skills you need to advance your career in just a few hours.

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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

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

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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.

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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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🖥 Next Level Python: Become a Python Expert [EN]

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MIT OCW 6.100L Introduction to CS and Programming using #Python (Fall 2022)

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More #Python Tips, Tricks, and Techniques for Data Science

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📶 Deep Learning: Model Optimization and Tuning

🌐 Author: Kumaran Ponnambalam
🔰 Level: Advanced

⏰ Duration: 54m

🌀 Learn about various optimization and tuning options available for deep learning models and use them to improve models.


📗 Topics: Deep Learning, Machine Learning

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Intro to customize the #Django admin dashboard

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What is Convolutional Neural Network?

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🔅 OpenCV for Python Developers

🌐 Author: Patrick W. Crawford
🔰 Level: Intermediate

⏰ Duration: 3h 5m

🌀 Learn how to harness the image-processing power of OpenCV to develop Python scripts that manipulate photos, create custom video streams, and even perform object and face tracking.


📗 Topics: #ComputerVision, #Python, #OpenCV

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🧠 Face Recognition with Machine Learning + Deploy Flask  App

🌟 4.4 - 459 votes  💰 Original Price: $69.99

📖 Create an Face Recognition project from scratch with Python, OpenCV , Machine Learning Algorithms, Flask, Heroku Deploy


🔊 Taught By: datascience Anywhere, G Sudheer

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Cyber Security Full Course Learn Cyber Security In 8 Hours

Description : This Cyber Security Full Course is designed to provide a comprehensive understanding of the principles and practices of cyber security in just 8 hours. The course covers various topics such as network security, cryptography, malware analysis, incident response, and ethical hacking. Students will learn about common cyber threats and vulnerabilities, and how to protect against them. The course includes hands-on exercises and real-world examples to enhance learning. By the end of the course, students will have the knowledge and skills to effectively secure digital assets and mitigate cyber risks.


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