If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but is not mandatory.
Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. It is now being used by an increasing number of major organizations, including NASA and Google.
Python is a multipurpose development language that can be used on virtually every platform. It offers built-in support for critical development steps including data structures, dynamic typing, and dynamic building. It can be used in lieu of Java or C++, and Python scripts can be developed in a fraction of the time it takes to program and debug higher-level languages.
If you are a Python programmer who wants to incorporate XML into your skill set, this is the book for you. Python has attracted a wide variety of developers, who use it either as glue to connect critical programming tasks together, or as a complete cross-platform application development language. Yet, because it is object-oriented and has powerful text manipulation abilities, Python is an ideal language for manipulating XML.
This is the book to reach for when you’re coding on the fly and need an answer now. It’s an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins — all updated to cover Python 3.x as well as version 2.6. You’ll also quickly find exactly what you need with the handy index.
Using the simple, robust, Python-based Django framework, you can build powerful Web solutions with remarkably few lines of code. In Python Web Development with Django, three experienced Django and Python developers cover all the techniques, tools, and concepts you need to make the most of Django, including all the major features of the new release.
Learning SciPy for Numerical and Scientific Computing (Preview)