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Numpy-tutorial.ipynb		Numpy-tutorial.ipynb
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data.csv		data.csv
readme.md		readme.md

readme.md

Day 0 of #100DaysofCode in Python

Task

Learn Numpy

Resources

Numpy Crash Course by Patrick Loeber (Video link)

Software used

Jupyter Notebook
Python 3.10.2
Numpy 1.22.4

My notebook

Numpy-tutorial.ipynb

Topics I have learnt

Numpy Intro
Array Basics
Dot product
Multi-dimensional arrays
Array Indexing
Array Slicing
Boolean Indexing
Reshape
Concatenation
Broadcasting
Functions and Axes
Datatypes
Copying
Generating arrays
Random numbers
Linear Algebra
- Eigenvalues
- Solving Linear Systems
Creating arrays
- Conversion from Python datastructure
- Using numpy array creation functions like arange, zeroes
- Replicating, concatenating & modifying existed arrays
- Reading arrays from CSV files
- Using special library functions like random

Conclusion:

Numpy is a really recommended library to learn. It's really fast compared to normal Python code. Useful to learn for mathematical calculations.