Introduction to Python for Science

Contents:

• 1. Introduction
  • 1.1. Introduction to Python and its use in science
• 2. Launching Python
  • 2.1. Installing Python on your computer
  • 2.2. The Canopy window
  • 2.3. The Interactive Python Pane
  • 2.4. Interactive Python as a calculator
  • 2.5. Python Modules
  • 2.6. Python functions: a first look
  • 2.7. Variables
  • 2.8. Script files and programs
  • 2.9. Importing Modules
  • 2.10. Getting help: documentation in IPython shell
  • 2.11. Programming is a detail-oriented activity
  • 2.12. Exercises
• 3. Strings, Lists, Arrays, and Dictionaries
  • 3.1. Strings
  • 3.2. Lists
  • 3.3. NumPy arrays
  • 3.4. Dictionaries
  • 3.5. Random numbers
  • 3.6. Exercises
• 4. Input and Output
  • 4.1. Keyboard input
  • 4.2. Screen output
  • 4.3. File input
  • 4.4. File output
  • 4.5. Exercises
• 5. Plotting
  • 5.1. An interactive session with pyplot
  • 5.2. Basic plotting
  • 5.3. Logarithmic plots
  • 5.4. More advanced graphical output
  • 5.5. Exercises
• 6. Conditionals and Loops
  • 6.1. Conditionals
  • 6.2. Loops
  • 6.3. List Comprehensions
  • 6.4. Exercises
• 7. Functions
  • 7.1. User-defined functions
  • 7.2. Methods and attributes
  • 7.3. Example: linear least squares fitting
  • 7.4. Anonymous functions (lambda)
  • 7.5. Exercises
• 8. Curve Fitting
  • 8.1. Using linear regression for fitting non-linear functions
  • 8.2. Nonlinear fitting
  • 8.3. Exercises
• 9. Numerical Routines: SciPy and NumPy
  • 9.1. Special functions
  • 9.2. Numerical integration
  • 9.3. Solving ODEs
  • 9.4. Discrete (fast) Fourier transforms
  • 9.5. Linear algebra
  • 9.6. Solving non-linear equations
  • 9.7. Exercises
• 10. Installing Python
  • 10.1. Installing Python
  • 10.2. Testing your installation of Python
• 11. IPython Notebooks
  • 11.1. An interactive interface
  • 11.2. Installing and launching an IPython notebook
  • 11.3. Using an IPython Notebook
  • 11.4. Running programs in an IPython Notebook
  • 11.5. Annotating an IPython Notebook
  • 11.6. Editing and rerunning a notebook
  • 11.7. Quitting an IPython notebook
  • 11.8. Working with an existing IPython notebook
• 12. Python Resources
  • 12.1. Web resources
  • 12.2. Books

Indices and tables:

• Index
• Search Page