Code With Python
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This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA โ€“ perfect for learning, coding, and mastering key programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho
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๐Ÿ’ฅ Here is an amazing Python cheat sheet for you all!

#python #cheatsheet

โšก๏ธ BEST DATA SCIENCE CHANNELS ON TELEGRAM ๐ŸŒŸ
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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

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๐Ÿ“„ Optimize your Python code with these 14 articles!


๐Ÿ“ฑ If you want to write your Python code faster and more efficiently for data science projects, be sure to have these 14 resources!๐Ÿ‘‡


๐Ÿณ๏ธโ€๐ŸŒˆ How to write clean Python code?โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ How do you know if your code is optimized or not? โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Optimize your code. โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Remove the rings. โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Write functions faster with these tips โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Speed โ€‹โ€‹up your code with caching โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Make the most of Pandas. โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Don't loop over the DataFrame. โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Choose the right data. โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Use groupby professionally. โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Know these 20 Pandas functions. โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Data Insight with Pandas Profiling โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Make Pandas 1000x faster โžก๏ธ Link


๐Ÿณ๏ธโ€๐ŸŒˆ Don't make these 10 Pandas mistakes. โžก๏ธ Link


๐Ÿ‘จโ€๐Ÿ’ป Link to access article notebooks:๐Ÿ‘‡


๐Ÿ–ฅ GitHub-Repos

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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

#Robotics #Perception #AI #DeepLearning #ComputerVision #RoboticsCourse #MachineLearning #Education #RoboticsResearch #GitHub


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This channels is for Programmers, Coders, Software Engineers.

0๏ธโƒฃ Python
1๏ธโƒฃ Data Science
2๏ธโƒฃ Machine Learning
3๏ธโƒฃ Data Visualization
4๏ธโƒฃ Artificial Intelligence
5๏ธโƒฃ Data Analysis
6๏ธโƒฃ Statistics
7๏ธโƒฃ Deep Learning
8๏ธโƒฃ programming Languages

โœ… https://t.me/addlist/8_rRW2scgfRhOTc0

โœ… https://t.me/Codeprogrammer
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Loading CSV files into a database using Python.

๐Ÿ–ฅ By: https://t.me/Python53

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This channels is for Programmers, Coders, Software Engineers.

0๏ธโƒฃ Python
1๏ธโƒฃ Data Science
2๏ธโƒฃ Machine Learning
3๏ธโƒฃ Data Visualization
4๏ธโƒฃ Artificial Intelligence
5๏ธโƒฃ Data Analysis
6๏ธโƒฃ Statistics
7๏ธโƒฃ Deep Learning
8๏ธโƒฃ programming Languages

โœ… https://t.me/addlist/8_rRW2scgfRhOTc0

โœ… https://t.me/Codeprogrammer
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๐Ÿณ๏ธโ€๐ŸŒˆ Introductory Course "Programming with Python"
๐Ÿ–ฅ MIT University


๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป A few days ago, I finished the introductory Python course from MIT, which is for people who have no experience in programming (like me ๐Ÿ˜…).

โ“ Why is this course worth your time?

1๏ธโƒฃ The course starts completely from scratch.
2๏ธโƒฃ Designed for people with no programming experience.
3๏ธโƒฃ Each section is preceded by practice with practical examples.


โ”Œ๐Ÿณ๏ธโ€๐ŸŒˆ Intro to CS & Programming
โ”œ๐ŸŽš Course Homepage
โ”” ๐Ÿ˜‰ Youtube Playlist


https://t.me/DataScience4 โœ…
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Python for Beginners%22 booklet.pdf
20 MB
โ€œPython for Beginnersโ€ 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 โ€” 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.

#Python #PythonForBeginners #LearnPython #CodingJourney #ProgrammingBasics #CodeSmart #DeveloperTools #TechEducation
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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

#AdvancedAlgorithms #MITOCW #AlgorithmDesign #ComputerScience #GraphTheory #RandomizedAlgorithms #ApproximationAlgorithms #GraduateLevel


https://t.me/DataScience4
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๐ŸŽ Your balance is credited $4,000 , the owner of the channel wants to contact you!

Dear subscriber, we would like to thank you very much for supporting our channel, and as a token of our gratitude we would like to provide you with free access to Lisa's investor channel, with the help of which you can earn today

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Roadmap to Python in 2025

Python has evolved from a simple scripting language to the backbone of modern data science and machine learning. As we enter 2025, Python remains the most popular language for AI development and data analysis, making it an essential skill for anyone looking to enter these fields. This #roadmap provides a clear, practical path from #Python basics to advanced machine learning applications.

Read: https://machinelearningmastery.com/roadmap-to-python-in-2025/

Tell your friends
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๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป_๐—–๐—ต๐—ฒ๐—ฎ๐˜_๐—ฆ๐—ต๐—ฒ๐—ฒ๐˜_๐—ณ๐—ผ๐—ฟ_๐——๐—ฎ๐˜๐—ฎ_๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐˜€.pdf
2.9 MB
๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—–๐—ต๐—ฒ๐—ฎ๐˜ ๐—ฆ๐—ต๐—ฒ๐—ฒ๐˜ ๐—ณ๐—ผ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐˜€

Whether you're just starting out or already working as a Data Engineer, having a quick Python reference guide can save you time and boost your productivity.

Iโ€™m excited to share this Python Cheat Sheet that covers key concepts every data engineer should know โ€” from syntax basics to file handling and commonly used functions. A handy resource for daily use and interview prep.

#Python #DataEngineering #CheatSheet #PythonForData #CodingTips #DataEngineerTools #ProductivityBoost #PythonBasics #InterviewPrep #PythonReference

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Forwarded from Thomas
๐ŸŽโ—๏ธTODAY FREEโ—๏ธ๐ŸŽ

Entry to our VIP channel is completely free today. Tomorrow it will cost $500! ๐Ÿ”ฅ

JOIN ๐Ÿ‘‡

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The Best Python Cheat Sheet.pdf
435.5 KB
๐Ÿ”ฐ The Best Python Cheat Sheet ๐Ÿ”ฐ

Unlock Python mastery with The Best Python Cheat Sheet 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!

โœ‰๏ธ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk

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๐ŸŽฏ ุงุจุฏุฃ ุฑุญู„ุชูƒ ุงู„ุงุญุชุฑุงููŠุฉ ููŠ ุงู„ุจุฑู…ุฌุฉ ู…ุน
#Python_Mastery_Course ๐Ÿ
ู‡ู„ ุชุฑุบุจ ุจุชุนู„ู… ู„ุบุฉ ุงู„ุจุฑู…ุฌุฉ ุงู„ุฃูƒุซุฑ ุทู„ุจู‹ุง ููŠ ุงู„ุนุงู„ู…ุŸ
ู‡ู„ ุชุญู„ู… ุจุงู„ูˆุตูˆู„ ุฅู„ู‰ ู…ุฌุงู„ุงุช ู…ุซู„ ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠุŒ ุชุญู„ูŠู„ ุงู„ุจูŠุงู†ุงุช ุฃูˆ ุชุตู…ูŠู… ุงู„ูˆุงุฌู‡ุงุชุŸ
๐Ÿ“ข ู‡ุฐู‡ ุงู„ุฏูˆุฑุฉ ุฎูุตุตุช ู„ุชูƒูˆู† ู†ู‚ุทุฉ ุงู†ุทู„ุงู‚ูƒ ู†ุญูˆ ุงู„ู…ุณุชู‚ุจู„!
________________________________________
๐Ÿš€ ู…ุงุฐุง ุณุชุชุนู„ู… ููŠ ู‡ุฐู‡ ุงู„ุฏูˆุฑุฉุŸ
๐Ÿ”น ุงู„ูˆุญุฏุฉ 1: ุฃุณุงุณูŠุงุช ุจุงูŠุซูˆู† (ุงู„ู…ุชุบูŠุฑุงุช โ€“ ุฃู†ูˆุงุน ุงู„ุจูŠุงู†ุงุช โ€“ ุงู„ุนู…ู„ูŠุงุช โ€“ ุฃุณุงุณูŠุงุช ุงู„ูƒูˆุฏ)
๐Ÿ”น ุงู„ูˆุญุฏุฉ 2: ุงู„ุชุญูƒู… ููŠ ุณูŠุฑ ุงู„ุจุฑู†ุงู…ุฌ (ุงู„ุดุฑูˆุท โ€“ ุงู„ุญู„ู‚ุงุช โ€“ ุฃูˆุงู…ุฑ ุงู„ุชุญูƒู…)
๐Ÿ”น ุงู„ูˆุญุฏุฉ 3: ู‡ูŠุงูƒู„ ุงู„ุจูŠุงู†ุงุช (ู‚ูˆุงุฆู… โ€“ ู‚ูˆุงู…ูŠุณ โ€“ ู…ุฌู…ูˆุนุงุช โ€“ Tuples)
๐Ÿ”น ุงู„ูˆุญุฏุฉ 4: ุงู„ุฏูˆุงู„ (ุฅู†ุดุงุก โ€“ ู…ุนุงู…ู„ุงุช โ€“ ุงู„ู†ุทุงู‚ โ€“ ุงู„ุชูƒุฑุงุฑ)
๐Ÿ”น ุงู„ูˆุญุฏุฉ 5: ุงู„ูˆุญุฏุงุช (Modules)
๐Ÿ”น ุงู„ูˆุญุฏุฉ 6: ุงู„ุชุนุงู…ู„ ู…ุน ุงู„ู…ู„ูุงุช ูˆู…ู„ูุงุช CSV
๐Ÿ”น ุงู„ูˆุญุฏุฉ 7: ู…ุนุงู„ุฌุฉ ุงู„ุงุณุชุซู†ุงุกุงุช ุจุงุญุชุฑุงู
๐Ÿ”น ุงู„ูˆุญุฏุฉ 8: ุงู„ุจุฑู…ุฌุฉ ุงู„ูƒุงุฆู†ูŠุฉ (OOP)
๐Ÿ”น ุงู„ูˆุญุฏุฉ 9: ุงู„ู…ูุงู‡ูŠู… ุงู„ู…ุชู‚ุฏู…ุฉ:
โ€ƒโ€ƒโœ… ุงู„ู…ูˆู„ุฏุงุช (Generators)
โ€ƒโ€ƒโœ… ุงู„ูƒุงุฆู†ุงุช ุงู„ู‚ุงุจู„ุฉ ู„ู„ุชูƒุฑุงุฑ (Iterators)
โ€ƒโ€ƒโœ… ุงู„ู…ุฒูŠู†ุงุช (Decorators)
๐Ÿ’ก ุนู†ุฏ ุงู†ุชู‡ุงุฆูƒ ุณุชูƒูˆู† ู‚ุงุฏุฑู‹ุง ุนู„ู‰:
โœ”๏ธ ุจู†ุงุก ู…ุดุงุฑูŠุน ุญู‚ูŠู‚ูŠุฉ ุจู„ุบุฉ ุจุงูŠุซูˆู†
โœ”๏ธ ุงู„ุงู†ุชู‚ุงู„ ุจุซู‚ุฉ ุฅู„ู‰ ู…ุฌุงู„ุงุช ู…ุชู‚ุฏู…ุฉ ู…ุซู„ ุงู„ุฐูƒุงุก ุงู„ุงุตุทู†ุงุนูŠ ูˆุชุญู„ูŠู„ ุงู„ุจูŠุงู†ุงุช
โœ”๏ธ ุฃุชู…ุชุฉ ุงู„ู…ู‡ุงู… ูˆุงู„ุชุนุงู…ู„ ู…ุน ุงู„ุจูŠุงู†ุงุช ุจุงุญุชุฑุงู

๐ŸŽฅ ู†ุธุงู… ุงู„ุฏูˆุฑุฉ:
โ€ข ุจุซ ู…ุจุงุดุฑ Live ู…ุน ุงู„ู…ุฏุฑุจ ุฏ. ู…ุญู…ุฏ ุนู…ุงุฏ ุนุฑูู‡
โ€ข ุฌู…ูŠุน ุงู„ู…ุญุงุถุฑุงุช ุณุชูุฑูุน ุนู„ู‰ ุงู„ู…ูˆู‚ุน ู„ุชุดุงู‡ุฏู‡ุง ููŠ ุงู„ูˆู‚ุช ุงู„ุฐูŠ ูŠู†ุงุณุจูƒ
๐Ÿ•’ ู…ุฏุฉ ุงู„ุฏูˆุฑุฉ: 25 ุณุงุนุฉ ุชุฏุฑูŠุจูŠุฉ
๐Ÿ“… ุชุงุฑูŠุฎ ุงู„ุจุฏุงูŠุฉ:15- 6
๐Ÿ’ฐ ุฎุตู… ู„ู„ุญุฌุฒ ุงู„ู…ุจูƒุฑ
ุชูˆุงุตู„ ุงู„ุขู† ู…ุน ุฐูƒุฑ ูƒูˆุฏ ุงู„ุฏูˆุฑุฉ"001"
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python handbook.pdf
7.3 MB
Python HandBook Free

#python #OOP

โœ‰๏ธ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk

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