Python
My Python Notes
Python programming notes
My notes using Python libraries
My Python Network Programming Notes
Python resources
Online
Python 3 Module of the Week by Doug Hellmann (PyMOTW-3)
PyMOTW-3 Concurrency with Processes, Threads, and Coroutines
Using % and .format() for great good!
Books
Python Frameworks
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Set up Django in virtual environment on Dreamhost
Libraries
NumPy is the fundamental package for scientific computing with Python. It contains among other things:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
- useful linear algebra, Fourier transform, and random number capabilities
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Data Visualization Libraries
Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.
matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell, web application servers, and six graphical user interface toolkits.
Data generation
ForgeryPy3 is a fake data generator fully compatible with Python 2 and 3.
Python on Linux
Linux Mint 14 Nadia with Cinnamon
The basic install of Mint 14 with Cinnamon comes with Python 3.2.3 and 2.7.3.
Invoking Python 3.2 Interpreter
$ python3.2 Python 3.2.3 (default, Oct 19 2012, 19:53:16) [GCC 4.7.2] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>>
Note: I don't use Python 2.x versions