💥 Here is an amazing Python cheat sheet for you all!

#Python #CheatSheet

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🖥 Django Extensions is a popular package for #Django that provides a set of additional tools and extensions for developing applications!

🌟 It includes management commands, models, decorators, and other utilities that simplify the development and testing of Django projects. The package is often used to optimize the workflow and add functionality that is missing from the standard version of Django.

🔐 License: #MIT

🖥 Github

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"Introduction to Python Programming"

This 415-pages #FREE book is perfect if you are starting your #Python journey.

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An MIT introduction to computer science & Python programming

Full course: https://youtube.com/playlist?list=PLUl4u3cNGP62A-ynp6v6-LGBCzeH3VAQB&si=5g8wup8nToOBxGkm

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📖 100 Essential Data Science Interview Questions

👨🏻‍💻 Preparing for a data science interview?

Reviewing fundamental questions is one of the best strategies for success. During the interview, it's crucial to communicate clearly and simply—especially when explaining complex models and data.
These 100 carefully selected questions will not only help you impress your interviewer but also boost your confidence throughout the interview process.

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20 Most Common Magic Methods in Python OOP

https://t.iss.one/Python53 ⚡️

💥 Here is an amazing Python cheat sheet for you all!

#python #cheatsheet

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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

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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

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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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Loading CSV files into a database using Python.

🖥 By: https://t.iss.one/Python53

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