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Contents

The Scientific Libraries

Next we cover the third party libraries most useful for scientific work in Python

Lectures

• Python for Scientific Computing
  • Overview
  • Scientific Libraries
  • The Need for Speed
  • Vectorization
  • Beyond Vectorization
• NumPy
  • Overview
  • NumPy Arrays
  • Operations on Arrays
  • Additional Functionality
  • Exercises
  • Solutions
• Matplotlib
  • Overview
  • The APIs
  • More Features
  • Further Reading
  • Exercises
  • Solutions
• SciPy
  • Overview
  • SciPy versus NumPy
  • Statistics
  • Roots and Fixed Points
  • Optimization
  • Integration
  • Linear Algebra
  • Exercises
  • Solutions
• Numba
  • Overview
  • Compiling Functions
  • Decorators and “nopython” Mode
  • Compiling Classes
  • Alternatives to Numba
  • Summary and Comments
  • Exercises
  • Solutions
• Parallelization
  • Overview
  • Types of Parallelization
  • Implicit Multithreading in NumPy
  • Multithreaded Loops in Numba
  • Exercises
  • Solutions
• Pandas
  • Overview
  • Series
  • DataFrames
  • On-Line Data Sources
  • Exercises
  • Solutions

OOP II: Building Classes Python for Scientific Computing