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Numpy-for-Data-Science

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This repository is a comprehensive guide to learning NumPy, the foundational Python library for numerical computing and data science. Designed for beginners and aspiring data scientists, it covers all the essential concepts with real-world examples, making it easy to apply NumPy in data analysis, machine learning, and scientific computing.

data-science data-visualization dataexploration jupyter numpy python

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Name		Name	Last commit message	Last commit date
01_Basic.ipynb		01_Basic.ipynb
02_Operations.ipynb		02_Operations.ipynb
03_Questions.ipynb		03_Questions.ipynb
04_Playing_with_npy.ipynb		04_Playing_with_npy.ipynb
05_Linear_Algebra.ipynb		05_Linear_Algebra.ipynb
06_Random_Number_Gen_Dist.ipynb		06_Random_Number_Gen_Dist.ipynb
README.MD		README.MD
Zeros.npy		Zeros.npy
numpy logo.npy		numpy logo.npy
requirements.txt		requirements.txt

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Numpy for data science

Numpy
Data science
Data manipulation
etc....

About

This repository is a comprehensive guide to learning NumPy, the foundational Python library for numerical computing and data science. Designed for beginners and aspiring data scientists, it covers all the essential concepts with real-world examples, making it easy to apply NumPy in data analysis, machine learning, and scientific computing.

data-science data-visualization dataexploration jupyter numpy python

5 stars

1 watching

Report repository

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