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Jaworski Michal - Expert Python Programming - Second Edition

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Jaworski Michal Expert Python Programming - Second Edition

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Expert Python Programming Second Edition

Expert Python Programming Second Edition

Copyright 2016 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: September 2008

Second edition: May 2016

Production reference: 1160516

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78588-685-0

www.packtpub.com

Credits

Authors

Micha Jaworski

Tarek Ziad

Reviewer

Facundo Batista

Commissioning Editor

Kunal Parikh

Acquisition Editor

Meeta Rajani

Technical Editor

Pankaj Kadam

Copy Editor

Laxmi Subramanian

Proofreader

Safis Editing

Indexer

Rekha Nair

Graphics

Jason Monteiro

Production Coordinator

Aparna Bhagat

Cover Work

Aparna Bhagat

About the Authors

Micha Jaworski has 7 years of experience in Python. He is also the creator of graceful, which is a REST framework built on top of falcon. He has been in various roles at different companies: from an ordinary full-stack developer through software architect to VP of engineering in a fast-paced start-up company. He is currently a lead backend engineer in TV Store team at Opera Software. He is highly experienced in designing high-performance distributed services. He is also an active contributor to some of the popular Python open source projects.

Tarek Ziad is an engineering manager at Mozilla, working with a team specialized in building web services in Python at scale for Firefox. He's contributed to the Python packaging effort and has worked with a lot of different Python web frameworks since Zope in the early days.

Tarek has also created Afpy, the French Python User Group, and has written two books on Python in French. He has delivered numerous talks and tutorials in French at international events such as Solutions Linux, PyCon, OSCON, and EuroPython.

About the Reviewer

Facundo Batista is a specialist in the Python programming language, with more than 15 years of experience with it. He is a core developer of the language, and a member by merit of the Python Software Foundation. He also received the 2009 Community Service Award for organizing PyCon Argentina and the Argentinian Python community as well as contributions to the standard library and work in translating the Python documentation.

He delivers talks in the main Python conferences in Argentina and other countries (The United States and Europe). In general, he has strong distributed collaborative experience from being involved in FLOSS development and working with people around the globe for more than 10 years.

He worked as a telecommunication engineer at Telefnica Mviles and Ericsson, and as a Python expert at Cyclelogic (developer in chief) and Canonical (senior software developer, his current position).

He also loves playing tennis, and is a father of two wonderful children.

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Preface

Python rocks!

From the earliest version in the late 1980s to the current version, it has evolved with the same philosophy: providing a multiparadigm programming language with readability and productivity in mind.

People used to see Python as yet another scripting language and wouldn't feel right about using it to build large systems. However, over the years and thanks to some pioneer companies, it became obvious that Python could be used to build almost any kind of system.

In fact, many developers that come from another language are charmed by Python and make it their language of choice.

This is something you are probably aware of if you have bought this book, so there's no need to convince you about the merits of the language any further.

This book is written to express many years of experience of building all kinds of applications with Python, from small system scripts done in a couple of hours to very large applications written by dozens of developers over several years.

It describes the best practices used by developers when working with Python.

This book covers some topics that do not focus on the language itself but rather on the tools and techniques used to work with it.

In other words, this book describes how an advanced Python developer works every day.

What this book covers

, Current Status of Python , showcases the current state of the Python language and its community. It shows how Python is constantly changing, why it is changing, and also why these facts are important for anyone who wants to call themselves a Python professional. This chapter also features the most popular and canonical ways of working in Pythonpopular productivity tools and conventions that are de facto standards now.

, Syntax Best Practices below the Class Level , presents iterators, generators, descriptors, and so on, in an advanced way. It also covers useful notes about Python idioms and internal CPython types implementations with their computational complexities as a rationale for showcased idioms.

, Syntax Best Practices above the Class Level , explains syntax best practices, but focuses above the class level. It covers more advanced object-oriented concepts and mechanisms available in Python. This knowledge is required in order to understand the last section of the chapter, which presents different approaches to metaprogramming in Python.

, Choosing Good Names , involves choosing good names. It is an extension to PEP 8 with naming best practices, but also gives tips on designing good APIs.

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