NumPy Crash Course In 1 Hour

Github:- github.com/dea...
NumPy Crash Course
Learn NumPy in this complete Crash Course! I show you all the essential functions of NumPy and some tricks and useful methods.
[NumPy](numpy.org/) is the core library for scientific computing in Python.
It is essential for any
data science
machine learning
algorithms.
Outline
1. NumPy Introduction
2. Installation and Basics
3. Array vs List
4. Dot Product
5. Speed Test array vs list
6. Multidimensional (nd) arrays
7. Indexing/Slicing/Boolean Indexing
8. Reshaping
9. Concatenation
10. Broadcasting
11. Functions and Axis
12. Datatypes
13. Copying
14. Generating arrays
15. Random numbers
16. Linear Algebra (Eigenvalues / Solving Linear Systems)
17. Loading CSV files
Installation
Installation with pip or *Anaconda*.
```console
$ pip install numpy
or
$ conda install numpy
```

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