๐ฅ Here is an amazing Python cheat sheet for you all!
#python #cheatsheet
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#python #cheatsheet
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Forwarded 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.
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#DSA #Algorithms #DataStructures #ProgrammingBasics #CSforBeginners #OpenSourceLearning #CodingJourney #TechEducation #ComputerScience #PythonBeginners
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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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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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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.
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Forwarded from Learn Python Hub
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Loading CSV files into a database using Python.
๐ฅ By: https://t.me/Python53
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This channels is for Programmers, Coders, Software Engineers.
0๏ธโฃ Python
1๏ธโฃ Data Science
2๏ธโฃ Machine Learning
3๏ธโฃ Data Visualization
4๏ธโฃ Artificial Intelligence
5๏ธโฃ Data Analysis
6๏ธโฃ Statistics
7๏ธโฃ Deep Learning
8๏ธโฃ programming Languages
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๐จ๐ปโ๐ป A few days ago, I finished the introductory Python course from MIT, which is for people who have no experience in programming (like me ๐ ).
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Python for Beginners%22 booklet.pdf
20 MB
โPython 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๏ปฟ
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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
https://t.me/DataScience4
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
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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/
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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/
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2.9 MB
๐ฃ๐๐๐ต๐ผ๐ป ๐๐ต๐ฒ๐ฎ๐ ๐ฆ๐ต๐ฒ๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐
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.
Iโm 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.
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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.
Iโm 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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python programming.pdf
3.3 MB
amazing booklet to learn #python 2025
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The Best Python Cheat Sheet.pdf
435.5 KB
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.
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Python Cheat Sheet
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๐ฏ ุงุจุฏุฃ ุฑุญูุชู ุงูุงุญุชุฑุงููุฉ ูู ุงูุจุฑู
ุฌุฉ ู
ุน
#Python_Mastery_Course ๐
ูู ุชุฑุบุจ ุจุชุนูู ูุบุฉ ุงูุจุฑู ุฌุฉ ุงูุฃูุซุฑ ุทูุจูุง ูู ุงูุนุงูู ุ
ูู ุชุญูู ุจุงููุตูู ุฅูู ู ุฌุงูุงุช ู ุซู ุงูุฐูุงุก ุงูุงุตุทูุงุนูุ ุชุญููู ุงูุจูุงูุงุช ุฃู ุชุตู ูู ุงููุงุฌูุงุชุ
๐ข ูุฐู ุงูุฏูุฑุฉ ุฎูุตุตุช ูุชููู ููุทุฉ ุงูุทูุงูู ูุญู ุงูู ุณุชูุจู!
________________________________________
๐ ู ุงุฐุง ุณุชุชุนูู ูู ูุฐู ุงูุฏูุฑุฉุ
๐น ุงููุญุฏุฉ 1: ุฃุณุงุณูุงุช ุจุงูุซูู (ุงูู ุชุบูุฑุงุช โ ุฃููุงุน ุงูุจูุงูุงุช โ ุงูุนู ููุงุช โ ุฃุณุงุณูุงุช ุงูููุฏ)
๐น ุงููุญุฏุฉ 2: ุงูุชุญูู ูู ุณูุฑ ุงูุจุฑูุงู ุฌ (ุงูุดุฑูุท โ ุงูุญููุงุช โ ุฃูุงู ุฑ ุงูุชุญูู )
๐น ุงููุญุฏุฉ 3: ููุงูู ุงูุจูุงูุงุช (ููุงุฆู โ ููุงู ูุณ โ ู ุฌู ูุนุงุช โ Tuples)
๐น ุงููุญุฏุฉ 4: ุงูุฏูุงู (ุฅูุดุงุก โ ู ุนุงู ูุงุช โ ุงููุทุงู โ ุงูุชูุฑุงุฑ)
๐น ุงููุญุฏุฉ 5: ุงููุญุฏุงุช (Modules)
๐น ุงููุญุฏุฉ 6: ุงูุชุนุงู ู ู ุน ุงูู ููุงุช ูู ููุงุช CSV
๐น ุงููุญุฏุฉ 7: ู ุนุงูุฌุฉ ุงูุงุณุชุซูุงุกุงุช ุจุงุญุชุฑุงู
๐น ุงููุญุฏุฉ 8: ุงูุจุฑู ุฌุฉ ุงููุงุฆููุฉ (OOP)
๐น ุงููุญุฏุฉ 9: ุงูู ูุงููู ุงูู ุชูุฏู ุฉ:
โโโ ุงูู ููุฏุงุช (Generators)
โโโ ุงููุงุฆูุงุช ุงููุงุจูุฉ ููุชูุฑุงุฑ (Iterators)
โโโ ุงูู ุฒููุงุช (Decorators)
๐ก ุนูุฏ ุงูุชูุงุฆู ุณุชููู ูุงุฏุฑูุง ุนูู:
โ๏ธ ุจูุงุก ู ุดุงุฑูุน ุญููููุฉ ุจูุบุฉ ุจุงูุซูู
โ๏ธ ุงูุงูุชูุงู ุจุซูุฉ ุฅูู ู ุฌุงูุงุช ู ุชูุฏู ุฉ ู ุซู ุงูุฐูุงุก ุงูุงุตุทูุงุนู ูุชุญููู ุงูุจูุงูุงุช
โ๏ธ ุฃุชู ุชุฉ ุงูู ูุงู ูุงูุชุนุงู ู ู ุน ุงูุจูุงูุงุช ุจุงุญุชุฑุงู
๐ฅ ูุธุงู ุงูุฏูุฑุฉ:
โข ุจุซ ู ุจุงุดุฑ Live ู ุน ุงูู ุฏุฑุจ ุฏ. ู ุญู ุฏ ุนู ุงุฏ ุนุฑูู
โข ุฌู ูุน ุงูู ุญุงุถุฑุงุช ุณุชูุฑูุน ุนูู ุงูู ููุน ูุชุดุงูุฏูุง ูู ุงูููุช ุงูุฐู ููุงุณุจู
๐ ู ุฏุฉ ุงูุฏูุฑุฉ: 25 ุณุงุนุฉ ุชุฏุฑูุจูุฉ
๐ ุชุงุฑูุฎ ุงูุจุฏุงูุฉ:15- 6
๐ฐ ุฎุตู ููุญุฌุฒ ุงูู ุจูุฑ
ุชูุงุตู ุงูุขู ู ุน ุฐูุฑ ููุฏ ุงูุฏูุฑุฉ"001"
https://t.me/Agartha_Support
#Python_Mastery_Course ๐
ูู ุชุฑุบุจ ุจุชุนูู ูุบุฉ ุงูุจุฑู ุฌุฉ ุงูุฃูุซุฑ ุทูุจูุง ูู ุงูุนุงูู ุ
ูู ุชุญูู ุจุงููุตูู ุฅูู ู ุฌุงูุงุช ู ุซู ุงูุฐูุงุก ุงูุงุตุทูุงุนูุ ุชุญููู ุงูุจูุงูุงุช ุฃู ุชุตู ูู ุงููุงุฌูุงุชุ
๐ข ูุฐู ุงูุฏูุฑุฉ ุฎูุตุตุช ูุชููู ููุทุฉ ุงูุทูุงูู ูุญู ุงูู ุณุชูุจู!
________________________________________
๐ ู ุงุฐุง ุณุชุชุนูู ูู ูุฐู ุงูุฏูุฑุฉุ
๐น ุงููุญุฏุฉ 1: ุฃุณุงุณูุงุช ุจุงูุซูู (ุงูู ุชุบูุฑุงุช โ ุฃููุงุน ุงูุจูุงูุงุช โ ุงูุนู ููุงุช โ ุฃุณุงุณูุงุช ุงูููุฏ)
๐น ุงููุญุฏุฉ 2: ุงูุชุญูู ูู ุณูุฑ ุงูุจุฑูุงู ุฌ (ุงูุดุฑูุท โ ุงูุญููุงุช โ ุฃูุงู ุฑ ุงูุชุญูู )
๐น ุงููุญุฏุฉ 3: ููุงูู ุงูุจูุงูุงุช (ููุงุฆู โ ููุงู ูุณ โ ู ุฌู ูุนุงุช โ Tuples)
๐น ุงููุญุฏุฉ 4: ุงูุฏูุงู (ุฅูุดุงุก โ ู ุนุงู ูุงุช โ ุงููุทุงู โ ุงูุชูุฑุงุฑ)
๐น ุงููุญุฏุฉ 5: ุงููุญุฏุงุช (Modules)
๐น ุงููุญุฏุฉ 6: ุงูุชุนุงู ู ู ุน ุงูู ููุงุช ูู ููุงุช CSV
๐น ุงููุญุฏุฉ 7: ู ุนุงูุฌุฉ ุงูุงุณุชุซูุงุกุงุช ุจุงุญุชุฑุงู
๐น ุงููุญุฏุฉ 8: ุงูุจุฑู ุฌุฉ ุงููุงุฆููุฉ (OOP)
๐น ุงููุญุฏุฉ 9: ุงูู ูุงููู ุงูู ุชูุฏู ุฉ:
โโโ ุงูู ููุฏุงุช (Generators)
โโโ ุงููุงุฆูุงุช ุงููุงุจูุฉ ููุชูุฑุงุฑ (Iterators)
โโโ ุงูู ุฒููุงุช (Decorators)
๐ก ุนูุฏ ุงูุชูุงุฆู ุณุชููู ูุงุฏุฑูุง ุนูู:
โ๏ธ ุจูุงุก ู ุดุงุฑูุน ุญููููุฉ ุจูุบุฉ ุจุงูุซูู
โ๏ธ ุงูุงูุชูุงู ุจุซูุฉ ุฅูู ู ุฌุงูุงุช ู ุชูุฏู ุฉ ู ุซู ุงูุฐูุงุก ุงูุงุตุทูุงุนู ูุชุญููู ุงูุจูุงูุงุช
โ๏ธ ุฃุชู ุชุฉ ุงูู ูุงู ูุงูุชุนุงู ู ู ุน ุงูุจูุงูุงุช ุจุงุญุชุฑุงู
๐ฅ ูุธุงู ุงูุฏูุฑุฉ:
โข ุจุซ ู ุจุงุดุฑ Live ู ุน ุงูู ุฏุฑุจ ุฏ. ู ุญู ุฏ ุนู ุงุฏ ุนุฑูู
โข ุฌู ูุน ุงูู ุญุงุถุฑุงุช ุณุชูุฑูุน ุนูู ุงูู ููุน ูุชุดุงูุฏูุง ูู ุงูููุช ุงูุฐู ููุงุณุจู
๐ ู ุฏุฉ ุงูุฏูุฑุฉ: 25 ุณุงุนุฉ ุชุฏุฑูุจูุฉ
๐ ุชุงุฑูุฎ ุงูุจุฏุงูุฉ:15- 6
๐ฐ ุฎุตู ููุญุฌุฒ ุงูู ุจูุฑ
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#python #OOP
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