Numpy and Matplotlib Tutorial

Published: 03 April 2017
on channel: The Semicolon

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#Numpy #Matplotlib #MachineLearning #DataAnalytics #DataScience

This Tutorial is a part of the series Data Analytics with Python.

This video is a tutorial to learning Numpy and Matplotlib in Python.

What is Numpy used for ?
Numpy arrays are very fast and efficient for mathematical operations. The ndarrays for Numpy add functionality for multi dimentional arrays.
What is Matplotlib?
Matplotlib is an extension for Numpy with the ability of plotting graphs and Data Visualization.

The functions covered in this tutorial are:
Numpy :
List to numpy array
Multiplication
np.arange (Generating numbers with specified gaps)
Multidimentional Array
ndim (checking the dimensions of array)
np.shape()
np.random.randn()
Accessing via Index

Matplotlib:
pyplot
Adding labels
Changing scale of Axis
Different color and shape of plot points
Plot more than one graph

For all Ipython notebooks, used in this series : https://github.com/shreyans29/thesemi...
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