Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

Course content

  • Welcome and Logistics
  • Numpy (New)
  • Matplotlib (New)
  • Pandas (New)
  • Scipy (New)
  • Bonus Exercises
  • Beginner Troubleshooting
  • Machine Learning Basics
  • Setting Up Your Environment (FAQ by Student Request)
  • Extra Help With Python Coding for Beginners (FAQ by Student Request)

Scientific Computing with Python SciPy Training Course


  • SciPy vs NumPy
  • Overview of SciPy features and components

Getting Started

  • Installing SciPy
  • Understanding basic functions

Implementing Scientific Computing

  • Using SciPy constants
  • Calculating integrals
  • Solving linear equations
  • Creating matrices with sparse and graphs
  • Optimizing or minimizing functions
  • Performing significance tests
  • Working with different file formats (Matlab, IDL, Matrix Market, etc.)

Visualizing and Manipulating Data

  • Implementing K-means clustering
  • Using spatial data structures
  • Processing multidimensional images
  • Calculating Fourier transformations
  • Using interpolation for fixed data points


Summary and Next Steps