Getting started with Python for science

https://www.scipy-lectures.org/intro/

1. Getting started with Python for science

This part of the Scipy lecture notes is a self-contained introduction to everything that is needed to use Python for science, from the language itself, to numerical computing or plotting.

• 1.1. Python scientific computing ecosystem
  • 1.1.1. Why Python?
  • 1.1.2. The Scientific Python ecosystem
  • 1.1.3. Before starting: Installing a working environment
  • 1.1.4. The workflow: interactive environments and text editors
• 1.2. The Python language
  • 1.2.1. First steps
  • 1.2.2. Basic types
  • 1.2.3. Control Flow
  • 1.2.4. Defining functions
  • 1.2.5. Reusing code: scripts and modules
  • 1.2.6. Input and Output
  • 1.2.7. Standard Library
  • 1.2.8. Exception handling in Python
  • 1.2.9. Object-oriented programming (OOP)
• 1.3. NumPy: creating and manipulating numerical data
  • 1.3.1. The NumPy array object
  • 1.3.2. Numerical operations on arrays
  • 1.3.3. More elaborate arrays
  • 1.3.4. Advanced operations
  • 1.3.5. Some exercises
  • 1.3.6. Full code examples
• 1.4. Matplotlib: plotting
  • 1.4.1. Introduction
  • 1.4.2. Simple plot
  • 1.4.3. Figures, Subplots, Axes and Ticks
  • 1.4.4. Other Types of Plots: examples and exercises
  • 1.4.5. Beyond this tutorial
  • 1.4.6. Quick references
  • 1.4.7. Full code examples
• 1.5. Scipy : high-level scientific computing
  • 1.5.1. File input/output: scipy.io
  • 1.5.2. Special functions: scipy.special
  • 1.5.3. Linear algebra operations: scipy.linalg
  • 1.5.4. Interpolation: scipy.interpolate
  • 1.5.5. Optimization and fit: scipy.optimize
  • 1.5.6. Statistics and random numbers: scipy.stats
  • 1.5.7. Numerical integration: scipy.integrate
  • 1.5.8. Fast Fourier transforms: scipy.fftpack
  • 1.5.9. Signal processing: scipy.signal
  • 1.5.10. Image manipulation: scipy.ndimage
  • 1.5.11. Summary exercises on scientific computing
  • 1.5.12. Full code examples for the scipy chapter
• 1.6. Getting help and finding documentation