Book Image

Modern Python Cookbook - Second Edition

By : Steven F. Lott
Book Image

Modern Python Cookbook - Second Edition

By: Steven F. Lott

Overview of this book

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. You'll 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.
Table of Contents (18 chapters)
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() characters

using, to break long statement into sensible pieces 60

* separator

about 127

used, for forcing keyword-only arguments 122, 124, 125, 127, 128

*, separator 127

** separator 127

/ separator

used, for defining position-only parameters 130, 132, 134


small objects, optimizing with 297, 301, 302


Abstract Base Classes (ABCs) 146

abstract superclass 327

ACID properties

atomicity 729

consistency 729

durability 729

isolation 729

add method

used, for building sets

aggregation 310

alternate hypothesis 773

anonymous tuples

anscombe.json 734

append() method

used, for building lists 153

approaches, for designing functions with optional parameters

General to Particular design 104, 106

Particular to General design 102, 103, 104


using, to get command-line input 245, 247, 248, 250


processing, options