Python Cheat Sheet
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Numpy from basics to advanced.pdf
2.4 MB
NumPy is an essential library in the world of data science, widely recognized for its efficiency in numerical computations and data manipulation. This powerful tool simplifies complex operations with arrays, offering a faster and cleaner alternative to traditional Python lists and loops.
The "Mastering NumPy" booklet provides a comprehensive walkthrough—from array creation and indexing to mathematical/statistical operations and advanced topics like reshaping and stacking. All concepts are illustrated with clear, beginner-friendly examples, making it ideal for anyone aiming to boost their data handling skills.
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python_basics.pdf
212.3 KB
I've just compiled a set of clean and powerful Python Cheat Sheets to help beginners and intermediates speed up their coding workflow.
Whether you're brushing up on the basics or diving into data science, these sheets will save you time and boost your productivity.
Python Basics
Jupyter Notebook Tips
Importing Libraries
NumPy Essentials
Pandas Overview
Perfect for students, developers, and anyone looking to keep essential Python knowledge at their fingertips.
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NUMPY FOR DS.pdf
4.5 MB
Let's start at the top...
NumPy contains a broad array of functionality for fast numerical & mathematical operations in Python
The core data-structure within #NumPy is an ndArray (or n-dimensional array)
Behind the scenes - much of the NumPy functionality is written in the programming language C
NumPy functionality is used in other popular #Python packages including #Pandas, #Matplotlib, & #scikitlearn!
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NumPy contains a broad array of functionality for fast numerical & mathematical operations in Python
The core data-structure within #NumPy is an ndArray (or n-dimensional array)
Behind the scenes - much of the NumPy functionality is written in the programming language C
NumPy functionality is used in other popular #Python packages including #Pandas, #Matplotlib, & #scikitlearn!
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