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python πŸ’™βœ¨.pdf
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Python Notes ⭐️

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πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV

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πŸŽ₯ Free course "Computational Thinking and Data Science"
πŸ“Š MIT University

πŸ‘¨πŸ»β€πŸ’» One of the best resources I've found for learning computational thinking and data science is this free course from MIT. It covers concepts like data analysis, computational modeling, and using algorithms to solve complex problems. I've included the links to the slides and videos from the course below:πŸ‘‡

πŸ“„ Slides link: Lecture Slides and Files

πŸ“Ή Video links: Lecture Videos

πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV #MIT

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πŸ‘¨πŸ»β€πŸ’» One of the most popular GitHub repositories for "learning and using algorithms in Python" is The Algorithms - Python repo with 196K stars.

✏️ It has a lot of organized and categorized code that you can use to find, read, and run different algorithms. Everything you can think of is here; from simple algorithms like sorting to advanced algorithms for machine learning, artificial intelligence, neural networks, and more.

βœ… Why should we use it?

πŸ”’ For learning: If you're looking to learn algorithms in action, this is great.

πŸ”’ For practice: You can take the codes, run them, and modify them to better understand.

πŸ”’ For projects : You can even use the codes here in real-life or academic projects.

πŸ”’ For interviews: If you're preparing for data science interviews, this is full of practical algorithms.


β”Œ πŸ³οΈβ€πŸŒˆ The Algorithms - Python
β””
🐱 GitHub-Repos

πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV #MIT

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15 ways to optimize neural network training

πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Pandas #DV #MIT

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GANs clearly explained with visuals

This website provides a clear explanation
, Try it out yourself: poloclub.github.io/ganlab/

πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN

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πŸͺ™ Everything you need to get started in machine learning.

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

Start for free ▢️ ow.ly/HBtl50UtwCA

πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN

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Arcade Academy - Learn Python πŸ–₯

πŸ“– Book

πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN

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pandas Project: Make a Gradebook With Python & pandas

Link: https://realpython.com/pandas-project-gradebook/

πŸ“‚ Tags: #DataScience #Python #ML #AI #LLM #Courses #Pandas #DV #GAN

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pandas for Data Science - Guide

In this learning path, you’ll get started with pandas and get to know the ins and outs of how you can use it to analyze data with Python.

pandas is a game-changer for #datascience and analytics, particularly if you came to #Python because you were searching for something more powerful than #Excel and #VBA. #pandas uses fast, flexible, and expressive data structures designed to make working with relational or labeled data both easy and intuitive.

Read: https://realpython.com/learning-paths/pandas-data-science/

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Important Methods in #Pandas Package

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from SQL to pandas.pdf
1.3 MB
🐼 "Comparison Between SQL and pandas" – A Handy Reference Guide

⚑️ As a data scientist, I often found myself switching back and forth between SQL and pandas during technical interviews. I was confident answering questions in SQL but sometimes struggled to translate the same logic into pandas – and vice versa.

πŸ”Έ To bridge this gap, I created a concise booklet in the form of a comparison table. It maps SQL queries directly to their equivalent pandas implementations, making it easy to understand and switch between both tools.

⚑ This reference guide has become an essential part of my interview prep. Before any interview, I quickly review it to ensure I’m ready to tackle data manipulation tasks using either SQL or pandas, depending on what’s required.

πŸ“• Whether you're preparing for interviews or just want to solidify your understanding of both tools, this comparison guide is a great way to stay sharp and efficient.

#DataScience #SQL #pandas #InterviewPrep #Python #DataAnalysis #CareerGrowth #TechTips #Analytics

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