Difference between revisions of "Python Installation and Basic Programming"
From AstroBaki
Jump to navigationJump to search (→Python: added Fernando Perez's nice list of python resources, and the astronomy tutorial) |
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** [http://sites.google.com/site/pythonbootcamp/links Useful links] to Python resources | ** [http://sites.google.com/site/pythonbootcamp/links Useful links] to Python resources | ||
* [http://fperez.org/py4science/starter_kit.html Python for Scientific Computing] has a list of resources on various topics relevant to a scientist getting started with Python | * [http://fperez.org/py4science/starter_kit.html Python for Scientific Computing] has a list of resources on various topics relevant to a scientist getting started with Python | ||
| − | * [http://www.scipy.org/Additional_Documentation/Astronomy_Tutorial?action=show | + | * [http://www.scipy.org/Additional_Documentation/Astronomy_Tutorial?action=show Scipy astronomy tutorial] covers reading in and analyzing data in scipy, mostly focusing on FITS files, but with some other useful information for those with data in other formats |
* A [http://code.google.com/edu/languages/google-python-class/index.html Google Class on Python] | * A [http://code.google.com/edu/languages/google-python-class/index.html Google Class on Python] | ||
* The [http://docs.python.org/tutorial/ Python Tutorial] | * The [http://docs.python.org/tutorial/ Python Tutorial] | ||
Revision as of 13:45, 22 September 2011
Here we will assemble resources for learning Python, and for getting it and other programming-related software installed on your computer.
For a scientific programmer in Python, the absolute basics you need to have installed are:
- Python 2.X (note that 3.X exists and is maturing, but a lot of scientific code and packages are not yet ported)
- NumPy: a package for fast numerical array processing
- Matplotlib/Pylab: a package for generating publication-quality plots
- GIT: a revision-control program for keeping tabs on the changes you make to your code. Not just for python.
Python
Topical Videos
- Introduction to Programs Data Types and Variables by Khan Academy
- Python Lists by Khan Academy
- For Loops in Python by Khan Academy
- While Loops in Python by Khan Academy
- Fun with Strings by Khan Academy
- Writing a Simple Factorial Program by Khan Academy
- ... there are lots more by Khan Academy ...
- Simpler Insertion Sort Function
Links
- Josh Bloom's Python Boot Camp offers a wealth of resources for getting started with Python. In particular, see:
- Instructions for installing all of the packages mentioned above.
- Useful links to Python resources
- Python for Scientific Computing has a list of resources on various topics relevant to a scientist getting started with Python
- Scipy astronomy tutorial covers reading in and analyzing data in scipy, mostly focusing on FITS files, but with some other useful information for those with data in other formats
- A Google Class on Python
- The Python Tutorial
GIT
Please see the Revision Control page,
