Scipy Lecture Notes

http://www.scipy-lectures.org/

One document to learn numerics, science, and data with Python

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Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.

• About the scipy lecture notes
  • Authors
  • What’s new
  • License
  • Contributing

• 1. Getting started with Python for science
  • 1.1. Scientific computing with tools and workflow
  • 1.2. The Python language
  • 1.3. NumPy: creating and manipulating numerical data
  • 1.4. Matplotlib: plotting
  • 1.5. Scipy : high-level scientific computing
  • 1.6. Getting help and finding documentation
• 2. Advanced topics
  • 2.1. Advanced Python Constructs
  • 2.2. Advanced Numpy
  • 2.3. Debugging code
  • 2.4. Optimizing code
  • 2.5. Sparse Matrices in SciPy
  • 2.6. Image manipulation and processing using Numpy and Scipy
  • 2.7. Mathematical optimization: finding minima of functions
  • 2.8. Interfacing with C
• 3. Packages and applications
  • 3.1. Statistics in Python
  • 3.2. Sympy : Symbolic Mathematics in Python
  • 3.3. Scikit-image: image processing
  • 3.4. Traits: building interactive dialogs
  • 3.5. 3D plotting with Mayavi
  • 3.6. scikit-learn: machine learning in Python

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