Data Structures and Algorithms with Object-Oriented Design Patterns in Python
by Bruno R. Preiss
Number of pages: 568
The primary goal of this book is to promote object-oriented design using Python and to illustrate the use of the emerging object-oriented design patterns. The book shows how these patterns are used to create good software designs. In particular, the following design patterns are used throughout the text: singleton, container, iterator, adapter and visitor. The book is targeted for second- and third-year students.
This document is no more available for free.
by Ian Ozsvald - ianozsvald.com
By exploring the theory behind design choices, this practical guide helps you gain a deeper understanding of Python implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.
by Kevin Sheppard
Python is a widely used general purpose programming language, which happens to be well suited to Econometrics and other more general purpose data analysis tasks. These notes provide an introduction to Python for a beginning programmer.
by Lennart Regebro
Porting to Python 3 doesn't have to be daunting. This book guides you through the process of porting your Python 2 code to Python 3. Using plenty of code examples is takes you cross the hurdles and shows you the new Python features.
by A. Holovaty, J. Kaplan-Moss - Apress
Django is the Python–based equivalent to the Ruby on Rails web development framework. The authors show you how they use this framework to create award–winning web sites. This is the first edition of the Django Book which covers 0.96 version.