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NumPy Tutorials

  • NumPy Features
    • Linear algebra on n-dimensional arrays
    • Saving and sharing your NumPy arrays
    • Masked Arrays
  • NumPy Applications
    • Determining Moore’s Law with real data in NumPy
    • Deep learning on MNIST
    • Deep reinforcement learning with Pong from pixels
    • Sentiment Analysis on notable speeches of the last decade
    • X-ray image processing
    • Determining Static Equilibrium in NumPy
    • Plotting Fractals
    • Analyzing the impact of the lockdown on air quality in Delhi, India
  • Contributing
    • Pairing Jupyter notebooks and MyST-NB
    • Learn to write a NumPy tutorial
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NumPy Applications

NumPy Applications#

A collection of highlighting the use of NumPy for applications in science, engineering, and data analysis.

  • Determining Moore’s Law with real data in NumPy
  • Deep learning on MNIST
  • Deep reinforcement learning with Pong from pixels
  • Sentiment Analysis on notable speeches of the last decade
  • X-ray image processing
  • Determining Static Equilibrium in NumPy
  • Plotting Fractals
  • Analyzing the impact of the lockdown on air quality in Delhi, India

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Determining Moore’s Law with real data in NumPy

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