Bite-Sized NumPy [2019]

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Containing data structures and the functionality to enable the usage of powerful functional arrays and matrices, NumPy is the python library with a wide range of uses and applications. Considerably faster than Python’s regular lists, and able to make more efficient mathematical computations, knowledge of NumPy is crucial when working in data science, machine learning, game development, and more.

After being shown how to download and install Anaconda and Jupyter, you will learn:

NumpPy arrays: 

  • Creating Numpy arrays
  • Fetch operations
  • Modification operations

NumPy matrices 

  • Creating NumPy matrices
  • Fetch operations
  • Modification operations

Basic Python skills

Tools and Frameworks

Python 3.6, Anaconda 5.2, Jupyter Notebook 5.5, NumPy 1.15

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