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Python für Naturwissenschaftler


  • Advanced Python
    • Sets
    • List comprehensions
    • Generators and iterators
    • Decorators
    • Exceptions
    • Context with the with-statement
  • NumPy
    • Python lists and NumPy arrays
    • Creating NumPy arrays
    • Addressing NumPy arrays
    • Universal functions
    • Linear algebra
  • Creating graphics
    • Creating graphics with matplotlib
    • Creating graphics with PyX
  • Version control with Git
    • Basic steps
    • Branching and merging
    • Working with remote repositories
  • Testing programs
    • Why do we need tests?
    • The doctest module
    • The unittest module
    • Testing with NumPy
  • Profiling
    • The timeit module
    • The cProfile module