Python from Scratch. » Good to Great Python reads jessenoller.com. Python Set Up - Google's Python Class - Google Code. This page explains how to set up Python on a machine so you can run and edit Python programs, and links to the exercise code to download. You can do this before starting the class, or you can leave it until you've gotten far enough in the class that you want to write some code. The Google Python Class uses a simple, standard Python installation, although more complex strategies are possible. Python is free and open source, available for all operating systems from python.org. In particular we want a Python install where you can do two things: Run an existing python program, such as hello.py Run the Python interpreter interactively, so you can type code right at it Both of the above are done quite a lot in the lecture videos, and it's definitely something you need to be able to do to solve the exercises.
Download Google Python Exercises As a first step, download the google-python-exercises.zip file and unzip it someplace where you can work on it. Python on Linux, Mac OS X, etc. Editors. If you have anything to contribute -- e.g. configurations for editors, new editors, or opinion -- don't hesitate to edit or create pages. There's an EditorConfigurationHowto available. Please keep wiki links as wiki links, use external links only if there is no existing page for the editor.
Please add pages like BoaConstructor also to page IntegratedDevelopmentEnvironments. Multiplatform Editors Unix-Only Editors Windows-Only Editors Macintosh-Only Editors Online Editors Glorified Editors "IDEs" that don't integrate anything Python-specific go here. Enhanced Python shells Mobile Device Editors "IDEs" that run on mobile devices and tablets. Other Resources PySmell provides autocompletion for Vim, Emacs and TextMate Never ending debate EmacsVsVi CategoryEditors.
Pyscripter - An open-source Python Integrated Development Environment (IDE) Learn Python - Free Interactive Python Tutorial. Electrical Engineering and Computer Science | 6.189 A Gentle Introduction to Programming Using Python, January IAP 2011.