https://github.com/karthikarajagopal44/numpy-beginner-to-advanced

This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.
https://github.com/karthikarajagopal44/numpy-beginner-to-advanced

data-science numpy numpy-library numpy-tutorial python

Last synced: 5 days ago
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This repository is designed to help you master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers the range of topics from beginner to advance.

• Host: GitHub
• URL: https://github.com/karthikarajagopal44/numpy-beginner-to-advanced
• Owner: KarthikaRajagopal44
• Created: 2024-10-16T12:06:17.000Z (4 months ago)
• Default Branch: master
• Last Pushed: 2024-10-16T12:09:17.000Z (4 months ago)
• Last Synced: 2024-11-25T04:09:58.280Z (2 months ago)
• Topics: data-science, numpy, numpy-library, numpy-tutorial, python
• Language: Jupyter Notebook
• Homepage:
• Size: 3.36 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Numpy-Beginner-to-Advanced

This repository is designed to help master NumPy, the fundamental package for scientific computing with Python. Whether you are just getting started or looking to refine your skills with advanced techniques, this repo covers a comprehensive range of topics and functionalities. It covers a range of topics from beginner to advanced.

Beginner Level

File: basic numpy.ipynb

Description: This file contains essential NumPy functions for beginners. It covers array creation, basic operations, reshaping, indexing, slicing, and basic statistical operations.

Intermediate Level

File: intermediate numpy.ipynb

Description: This file includes intermediate-level NumPy functions. It expands on array creation, advanced indexing, broadcasting, linear algebra operations, random number generation, and more.

Advanced Level

File: advanced numpy.ipynb

Description: This file showcases advanced NumPy functions. It covers complex array manipulations, advanced linear algebra, Fourier transforms, memory layout optimization, masked arrays, custom universal functions, sparse matrix operations, QR decompositions, numerical differentiation, efficient computation techniques, and handling large datasets.

Resource links:

NumPy Official Documentation: https://numpy.org/doc/

NumPy Tutorial: https://numpy.org/learn/