My favorite book on introduction to Python. Printed version published by O'Reilly, pdf officially downloadable from here: http://www.greenteapress.com/thinkpython/

• http://scipy-lectures.github.io/
  (Includes also an excellent Python language intro and ref.)

• http://docs.scipy.org/doc/numpy/reference/
• http://docs.scipy.org/doc/numpy/user/

• http://docs.scipy.org/doc/scipy/reference/

• http://docs.scipy.org/doc/

Hans Petter Langtangen has written two excellent books on Scientific Programming with Python. The one I use in my courses is A primer on Scientific Programming with Python, which is also available in the university library.

UPDATE: Hans Petter passed away on Oct. 10, 2016 at 54 because of cancer! This makes me very sad. I would have loved to meet him once.

All his web pages at University Oslo have been removed.

• Dead link: Homepage of Hans Petter Langtangen
• Dead link: Comparison of his two books
• Resources for “A Primer on Scientific Programming with Python”

• Lecture Slides (home)

• Norwegian Introduction (pdf)
• Chapter 1: Computing with Formulas (pdf)
• Chapter 2: Lists and Loops (pdf)
• Chapter 3: Functions and Branching (pdf)
• Chapter 4: Input Data and Error Handling (pdf)
• Chapter 5: Array Computing and Curve Plotting (pdf)
• Chapter 6: Files, Strings, and Dictionaries (pdf)
• Chapter 7: Introduction to Classes (pdf)
• Chapter 8: Random Numbers and Simple Games (pdf)
• Chapter 9: Object-Oriented Programming (pdf)
• Summary of Python Functionality in INF1100 (pdf)
• Sequences and Difference Equations (Appendix A) (pdf)
• Programming of Differential Equations (Appendix E) (pdf)

• All chapters in one document (pdf)

1. Python (version 2.7 recommended)
2. NumPy
3. Matplotlib
4. SciTools

1. IPython
2. ScientificPython
3. Gnuplot plotting program
4. Gnuplot.py Python module for Gnuplot
5. SciPy

The following two software packages comprise all required and optional components listed above.

python(x,y), Scientific-oriented Python Distribution based on Qt and Spyder

SciTools is a Python package containing many useful tools for scientific computing in Python. The package is built on top of other widely used packages such as NumPy, SciPy, ScientificPython, Matplotlib, Gnuplot, etc.