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Modern Python Cookbook
Modern Python Cookbook

Modern Python Cookbook: 133 recipes to develop flawless and expressive programs in Python 3.8 , Second Edition

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Profile Icon Steven F. Lott
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (15 Ratings)
Paperback Jul 2020 822 pages 2nd Edition
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Arrow left icon
Profile Icon Steven F. Lott
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$19.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (15 Ratings)
Paperback Jul 2020 822 pages 2nd Edition
eBook
$67.99 $75.99
Paperback
$94.99
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Renews at $19.99p/m
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$67.99 $75.99
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Modern Python Cookbook

Statements and Syntax

Python syntax is designed to be simple. There are a few rules; we'll look at some of the interesting statements in the language as a way to understand those rules. Concrete examples can help clarify the language's syntax.

We'll cover some basics of creating script files first. Then we'll move on to looking at some of the more commonly-used statements. Python only has about 20 or so different kinds of imperative statements in the language. We've already looked at two kinds of statements in Chapter 1, Numbers, Strings, and Tuples, the assignment statement and the expression statement.

When we write something like this:

>>> print("hello world")
hello world

We're actually executing a statement that contains only the evaluation of a function, print(). This kind of statement—where we evaluate a function or a method of an object—is common.

The other kind of statement we've already seen is the assignment statement. Python has many variations on this theme. Most of the time, we're assigning a single value to a single variable. Sometimes, however, we might be assigning two variables at the same time, like this:

quotient, remainder = divmod(355, 113)

These recipes will look at some of the more common of the complex statements, including if, while, for, try, and with. We'll touch on a few of the simpler statements as we go, like break and raise.

In this chapter, we'll look at the following recipes:

  • Writing Python script and module files - syntax basics
  • Writing long lines of code
  • Including descriptions and documentation
  • Better RST markup in docstrings
  • Designing complex if...elif chains
  • Saving intermediate results with the := "walrus"
  • Avoiding a potential problem with break statements
  • Leveraging exception matching rules
  • Avoiding a potential problem with an except: clause
  • Concealing an exception root cause
  • Managing a context using the with statement

We'll start by looking at the big picture – scripts and modules – and then we'll move down into details of individual statements. New with Python 3.8 is the assignment operator, sometimes called the "walrus" operator. We'll move into exception handling and context management as more advanced recipes in this section.

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Key benefits

  • 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 Python’s optional type annotations

Description

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.

Who is this book for?

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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 31, 2020
Length: 822 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800207455
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Product Details

Publication date : Jul 31, 2020
Length: 822 pages
Edition : 2nd
Language : English
ISBN-13 : 9781800207455
Category :
Languages :

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Table of Contents

17 Chapters
Numbers, Strings, and Tuples Chevron down icon Chevron up icon
Statements and Syntax Chevron down icon Chevron up icon
Function Definitions Chevron down icon Chevron up icon
Built-In Data Structures Part 1: Lists and Sets Chevron down icon Chevron up icon
Built-In Data Structures Part 2: Dictionaries Chevron down icon Chevron up icon
User Inputs and Outputs Chevron down icon Chevron up icon
Basics of Classes and Objects Chevron down icon Chevron up icon
More Advanced Class Design Chevron down icon Chevron up icon
Functional Programming Features Chevron down icon Chevron up icon
Input/Output, Physical Format, and Logical Layout Chevron down icon Chevron up icon
Testing Chevron down icon Chevron up icon
Web Services Chevron down icon Chevron up icon
Application Integration: Configuration Chevron down icon Chevron up icon
Application Integration: Combination Chevron down icon Chevron up icon
Statistical Programming and Linear Regression Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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Vlad Bezden May 23, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I read all Steven's books, and I like them a lot. This one was no exception—great examples for many different use cases. I really enjoyed and read several times chapter about testing using pytest. If you want to learn about python testing without reading books with many pages, this chapter will give you most of what you need.Another thing that I like about this book that it's truly embracing new python features, such as data typing. In the whole book, every single function uses typing, and in many cases, Steve explains why he decided to use TypedDict instead of NamedTuple or dataclass.I read this book from beginning to end, and I will continue to use it as a reference.I also recommend reading and look at the code at GitHub since it has much more code than in the book, where you will learn much more from the code.
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Akshit shah Aug 15, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I came across this book and got immediately hooked into it. I loved the clean and concise explanation which helped me solve tasks which was very difficult especially the concepts of classes. I would highly recommend this book and make sure you keep in handy so that you can have a quick overview without watching internet
Amazon Verified review Amazon
Pascal Ackerman Aug 25, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As I do not use Python on a regular base, I need a reminder or refresher from time to time. This book lends itself very well for that kind of "I know python but I am rusty" type of individual. I also see this fit in as a resource for people who program in Python every day, as reference material.The book is well written and covers any imaginable topic related to the python scripting language. I highly recommend this book for everyone that likes to program in Python (from time to time).
Amazon Verified review Amazon
John Wells Feb 02, 2024
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My son was very pleased with this for Christmas.
Amazon Verified review Amazon
Mike Driscoll Sep 08, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I first read Lott’s "Mastering Object-Oriented Python", which is an excellent book. He is an excellent writer who can easily dive into the technical details of any topic in Python.O’Reilly was the first company to put out a Python Cookbook. That book is good too and it’s nearly as large as Lott’s latest work. Cookbooks aren’t meant to be read cover-to-cover. But they are great for learning new nuggets of information. Lott’s book is arranged in groups of recipes. Interestingly, Packt was able to get the author of the first Python Cookbook, Alex Martelli, to be one of the technical reviewers for this one.There are 15 chapters with a varying number of recipes in each. You will be surprised how detailed the recipes get. For example, there is a recipe called “Working with large and small integers” which sounds trivial at first blush. But after reading through it, you will learn a lot about how Python represents integers differently than other programming languages.It also explains how sys.maxsize() comes into play which was actually much more interesting than I expected. I appreciated that the recipes have a “See Also” section that tells you where to go next to learn something related within the book or at a URL.I like that there are recipes that explain how to use the walrus operator, forcing keyword-only arguments and position only arguments too. There’s a lot of good coverage of new features in the latest versions of Python here.You will also learn about classes, objects and functional programming in this book.Amazingly, the author covers web services, configuration, combining applications, statistical programming and linear regression too!You should check this book out. It’s really interesting and will be a great reference book.
Amazon Verified review Amazon
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