Learn Python - Free Interactive Python Tutorial Python data tools just keep getting better Here are a few observations inspired by conversations I had during the just concluded PyData conference 1 . The Python data community is well-organized: Besides conferences ( PyData , SciPy, EuroSciPy ), there is a new non-profit ( NumFOCUS ) dedicated to supporting scientific computing and data analytics projects. The list of supported projects are currently Python-based, but in principle NumFOCUS is an entity that can be used to support related efforts from other communities. It’s getting easier to use the Python data stack: There are tools that facilitate the dissemination and sharing of code and programming environments. IPython 2 notebooks allow Python code and markup in the same document. Notebooks are used to record and share complex workflows and are used heavily for (conference) tutorials. Large-scale data processing and wrangling tools have improved: Pandas and PyTables are already popular, and there was very strong interest in the forthcoming Blaze project at the conference.
Online Python Tutor - Learn programming by visualizing code execution - Vimperator s Python Class - Educational Materials Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections. The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. To get started, the Python sections are linked at the left -- Python Set Up to get Python installed on your machine, Python Introduction for an introduction to the language, and then Python Strings starts the coding material, leading to the first exercise.
The Python Tutorial — Python v2.7.5 documentation Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python Web site, and may be freely distributed. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. For a description of standard objects and modules, see The Python Standard Library. The Glossary is also worth going through.
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