Steven F. Lott - Modern Python Cookbook: 133 recipes to develop flawless and expressive programs in Python 3.8, 2nd Edition
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Complete recipes spread across 15 chapters to help you overcome commonly faced issues by Python for everybody across the globe. Each recipe takes a problem-solution approach to resolve for effective Python.
Key Features- Develop expressive and effective Python programs
- Best practices and common idioms through carefully explained recipes
- Discover new ways to apply Python for data-focused development
- Make use of Pythons optional type annotations
Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great language that can power your applications and provide great speed, safety, and scalability. It can be used for simple scripting or sophisticated web applications. By exposing Python as a series of simple recipes, this book gives you insight into specific language features in a particular context. Having a tangible context helps make the language or a given standard library feature easier to understand.
This book comes with 133 recipes on the latest version of Python 3.8. The recipes will benefit everyone, from beginners just starting out with Python to experts. Youll not only learn Python programming concepts but also how to build complex applications.
The recipes will touch upon all necessary Python concepts related to data structures, object oriented programming, functional programming, and statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively take advantage of it.
By the end of this Python book, you will be equipped with knowledge of testing, web services, configuration, and application integration tips and tricks. You will be armed with the knowledge of how to create applications with flexible logging, powerful configuration, command-line options, automated unit tests, and good documentation.
What you will learn- See the intricate details of the Python syntax and how to use it to your advantage
- Improve your coding with Python readability through functions
- Manipulate data effectively using built-in data structures
- Get acquainted with advanced programming techniques in Python
- Equip yourself with functional and statistical programming features
- Write proper tests to be sure a program works as advertised
- Integrate application software using Python
The Python book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner, this book will get you started. If you are experienced, it will expand your knowledge base. A basic knowledge of programming would help.
Table of Contents- Numbers, Strings, and Tuples
- Statements and Syntax
- Function Definitions
- Built-In Data Structures Part 1: Lists and Sets
- Built-In Data Structures Part 2: Dictionaries
- User Inputs and Outputs
- Basics of Classes and Objects
- More Advanced Class Design
- Functional Programming Features
- Input/Output, Physical Format, and Logical Layout
- Testing
- Web Services
- Application Integration: Configuration
- Application Integration: Combination
- Statistical Programming and Linear Regression
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Modern Python Cookbook
Second Edition
133 recipes to develop flawless and expressive programs in Python 3.8
Steven F. Lott
BIRMINGHAM - MUMBAI
Modern Python Cookbook
Second Edition
Copyright 2020 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 author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been 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.
Producer: Tushar Gupta
Acquisition Editor Peer Reviews: Divya Mudaliar
Project Editor: Tom Jacob
Content Development Editor: Alex Patterson
Technical Editor: Karan Sonawane
Copy Editor: Safis Editing
Proofreader: Safis Editing
Indexer: Priyanka Dhadke
Presentation Designer: Pranit Padwal
First published: November 2016
Second edition: July 2020
Production reference: 1280720
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-80020-745-5
www.packt.com
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Contributors
Steven F. Lott has been programming since the 70s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. He's been using Python to solve business problems for almost 20 years.
He's currently leveraging Python to implement cloud management tools. His other titles with Packt include Python Essentials, Mastering Object-Oriented Python, Functional Python Programming, and Python for Secret Agents.
Steven is currently a technomad who lives in various places on the east coast of the U.S.
Alex Martelli is an Italian-born computer engineer, and Fellow and Core Committer of the Python Software Foundation. For over 15 years now, he has lived and worked in Silicon Valley, currently as Tech Lead for "long tail" community support for Google Cloud Platform.
Alex holds a Laurea (Master's degree) in Electrical Engineering from Bologna University; he is the author of Python in a Nutshell (co-author, in the current 3rd edition), co-editor of the Python Cookbook's first two editions, and has written many other (mostly Python-related) materials, including book chapters, interviews, and many tech talks. Check out https://www.google.com/search?q=alex+martelli , especially the Videos tab thereof.
Alex won the 2002 Activators' Choice Award, and the 2006 Frank Willison award for outstanding contributions to the Python community.
Alex has taught courses on programming, development methods, object-oriented design, cloud computing, and numerical computing, at Ferrara University and other universities and schools. Alex was also the keynote speaker for the 2008 SciPy Conference, and for many editions of Pycon APAC and Pycon Italia conferences.
Anna Martelli Ravenscroft is an experienced speaker and trainer, with a diverse background from bus driving to bridge, disaster preparedness to cognitive science. A frequent track chair, program committee member, and speaker at Python and Open Source conferences, Anna also frequently provides technical reviewing for Python books. She co-edited the 2nd edition of the Python Cookbook and co-authored the 3rd edition of Python in a Nutshell. Anna is a Fellow of the Python Software Foundation and won a Frank Willison Memorial Award for her contributions to Python.
Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insights into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.
This book takes a recipe-based approach, where each recipe addresses specific problems and issues.
All you need to follow through the examples in this book is a computer running any Python 3.8.5 or newer. Some of the examples can be adapted to work with Python 3 versions prior to 3.8. A number of examples are specific to Python 3.8 features.
It's often easiest to install a fresh copy of Python. This can be downloaded from https://www.python.org/downloads/ . An alternative is to start with Miniconda ( https://docs.conda.io/en/latest/miniconda.html ) and use the conda tool to create a Python 3.8 (or newer) environment.
Python 2 cannot easily be used any more. Some Linux distributions and older macOS releases included a version of Python 2. It should be thought of as part of the operating system, and not a general software development tool.
The book is for web developers, programmers, enterprise programmers, engineers, and big data scientists. If you are a beginner also, this book will get you started. If you are experienced, it will expand your knowledge base. A basic knowledge of programming would help.
Chapter 1, Numbers, Strings, and Tuples, will look at the different kinds of numbers, work with strings, use tuples, and use the essential built-in types in Python. We will also exploit the full power of the unicode character set.
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