Python Programming

Python is a powerful, expressive programming language that’s easy to learn and fun to use! But books about learning to program in Python can be kind of dull, gray, and boring, and that’s no fun for anyone.

The main topic of this book is application development using PyQt, a library extension to the Python programming language that is meant to form the basis for GUI programming. Part I and II of this book concern themselves with concepts: here the examples are small, often amounting to less than one page of code. Part III takes you through the development of a complete, complex application. In this case an editor, but one with a lot of extra features. This book is intended for anyone, from beginning software developers to experienced programmers.

Learn everything you need to know to deploy Python web applications to a server. In each chapter, we'll perform a manual deployment to fully understand what we're doing, then automate each step with Fabric and Ansible.

Python is an amazing language with a strong and friendly community of programmers. However, there is a lack of documentation on what to learn after getting the basics of Python down your throat. Through this book I aim to solve this problem. I would give you bits of information about some interesting topics which you can further explore.

This book provides a reader with a holistic and in-depth knowledge of the Python language. It explains how methods and functions are related, how sequences can be created elegantly, the tools for functional programming, how user defined objects can be no different from Python objects and how one can control almost everything from import statements to class creation using meta-classes and decorators etc.

This book is a guide to learn Python programming. Precise code examples and broken down explanations, neatly organised into chapters. Provides links to external resources for supplementary reading wherever required. It provides a solid foundation for learning to code.

This document is a syllabus for a second course in Python programming. This course contains discussions of several advanced topics that are of interest to Python programmers: regular expressions, unit tests, extending and embedding Python, parsing, GUI applications, guidance on packages and modules.

Python is a powerful high-level programming language that is popular across the world. It is used extensively by large corporations and individual developers alike. One of the biggest selling points of Python is the simplicity of its programs compared to other languages. It is remarkably easy, for even complete beginners, to create fully functional programs in minutes.

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, from choosing a porting strategy to solving your distribution issues.

If you've never programmed before, Python 3 is an excellent language to learn modern programming techniques. But this book should not be your starting point. Get "How to Think Like a Computer Scientist: Learning with Python" by Allen Downey, Jeffrey Elkner, Chris Meyers and learn the basics. Then dive into this book. Dive Into PYTHON 3 was written by Mark Pilgram, and this edition is distributed under the terms of the Creative Commons Attribution Share-Alike License 3.0. * Money raised from the sale of this book supports the development of free software and documentation. About the Author: By day, Mark Pilgrim is a developer advocate for open source and open standards. By night, he is a husband and father who lives in North Carolina with his wife, his two sons, and his big slobbery dog. He spends his copious free time sunbathing, skydiving, and making up autobiographical information.

This report guides you through the implicit decision tree of choosing what Python version, implementation, and distribution is best suited for you.

This book offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices.

This book consists of a set of is tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.

NumPy is an extension of Python, which provides highly optimized arrays and numerical operations. NumPy replaces a lot of the functionality of Matlab and Mathematica specifically vectorized operations, but in contrast to those products is free and open source. In today's world of science and technology, it is all about speed and flexibility.

NumPy is one of the most important scientific computing libraries available for Python. This book teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts.