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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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Repost from Machine Learning with Python

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MIT's "Advanced Algorithms" (Course 6.854J, Fall 2008) is a graduate-level course offering deep insights into the design and analysis of advanced algorithms. The lecture notes cover a wide range of topics such as graph algorithms, flow networks, randomized algorithms, approximation techniques, and data structures. The material is rigorous and ideal for researchers, graduate students, or professionals looking to strengthen their theoretical foundations in computer science. Link to lecture notes: https://ocw.mit.edu/courses/6-854j-advanced-algorithms-fall-2008/pages/lecture-notes

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“Python for Beginners” is a concise and well-structured booklet tailored for anyone starting their Python programming journey. Instead of relying on expensive courses or scattered online content, this PDF organizes Python fundamentals in a clear, logical manner — from variables and data types to functions, loops, and modules. It's perfect for beginners who want a solid foundation and a guided learning path without the overwhelm.

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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 ✅ https://t.me/Codeprogrammer

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Repost from Python Courses & Resources

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Loading CSV files into a database using Python. 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

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Repost from Machine Learning with Python

A Complete Course to Learn Robotics and Perception Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson github.com/gtbook/robotics roboticsbook.org/intro.html

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📄 Optimize your Python code with these 14 articles! 📱 If you want to write your Python code faster and more efficiently for data science projects, be sure to have these 14 resources!👇 🏳️‍🌈 How to write clean Python code?➡️ Link 🏳️‍🌈 How do you know if your code is optimized or not? ➡️ Link 🏳️‍🌈 Optimize your code. ➡️ Link 🏳️‍🌈 Remove the rings. ➡️ Link 🏳️‍🌈 Write functions faster with these tips ➡️ Link 🏳️‍🌈 Speed up your code with caching ➡️ Link 🏳️‍🌈 Make the most of Pandas. ➡️ Link 🏳️‍🌈 Don't loop over the DataFrame. ➡️ Link 🏳️‍🌈 Choose the right data. ➡️ Link 🏳️‍🌈 Use groupby professionally. ➡️ Link 🏳️‍🌈 Know these 20 Pandas functions. ➡️ Link 🏳️‍🌈 Data Insight with Pandas Profiling ➡️ Link 🏳️‍🌈 Make Pandas 1000x faster ➡️ Link 🏳️‍🌈 Don't make these 10 Pandas mistakes. ➡️ Link 👨‍💻 Link to access article notebooks:👇 🖥 GitHub-Repos ⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

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Repost from Machine Learning with Python

Open Guide to Data Structures and Algorithms A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively. Read it here: https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms #DSA #Algorithms #DataStructures #ProgrammingBasics #CSforBeginners #OpenSourceLearning #CodingJourney #TechEducation #ComputerScience #PythonBeginners ⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

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💥 Here is an amazing Python cheat sheet for you all! #python #cheatsheet ⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟