Everything you need to know about NumPy( Creating Arrays, Indexing, Math,Statistics,Reshaping).

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Deep LearningPython_NumPy
Overview

Python_NumPy

Everything you need to know about NumPy( Creating Arrays, Indexing, Math,Statistics,Reshaping).

Why NumPy instead of List?.

Numby is Faster, while List are slow.

Why is Numby Faster?

  1. Fixed Type.
  • Faster to Read Less Bytes of Memory.
  • No Type checking when Iterating through Objects.
  1. Utilize Contiguous Memory.
  • SIMD (Single Instruction Multiple Data) Vector Processing.
  • Effective Cache Utilization.

Aplication of NumPy.

  1. Mathematics (MATHLAB Replacement).
  2. Plotting (Matplotlib)
  3. Backend(Pandas, Connect4, Digital Photography)
  4. Machine Learning.
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Data Science
GitHub Repository
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