Numpy and Matplotlib Tutorial




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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/thesemicolon
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Comment List

  • The Semicolon
    January 2, 2021

    Thank you very much ! This is exactly what i was looking for.

  • The Semicolon
    January 2, 2021

    Which plot did you define 'a' in the following code?
    plt.plot(a,a**2,'ro')

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