Modern Python Cookbook

The latest in modern Python recipes for the busy modern programmer

Steven F. Lott 지음

Packt(GCO Science) 2016년 11월 30일 출간

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▶Book Description
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 insight 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 comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language.
The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks.
The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and 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 code readability through functions in Python
? 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

▶Key Features
? Develop succinct, expressive programs in Python
? Learn the best practices and common idioms through carefully explained and structured recipes
? Discover new ways to apply Python for the new age of development

▶What this book covers
? 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.
? Chapter 2, Statements and Syntax, will cover some basics of creating script files first. Then we’ll move on to looking at some of the complex statements, including if, while, for, try, with, and raise.
? Chapter 3, Function Definitions, will look at a number of function definition techniques. We’ll also look at the Python 3.5 typing module and see how we can create more formal annotations for our functions.
? Chapter 4, Built-in Data Structures ?list, set, dict, will look at an overview of the various structures that are available and what problems they solve. From there, we can look at lists, dictionaries, and sets in detail, and also look at some more advanced topics related to how Python handles references to objects.
? Chapter 5, User Inputs and Outputs, will explain how to use the different features of the print() function. We'll also look at the different functions used to provide user input.
? Chapter 6, Basics of Classes and Objects, will create classes that implement a number of statistical formulae.
? Chapter 7, More Advanced Class Design, will dive a little more deeply into Python classes. We will combine some features we have previously learned about to create more sophisticated objects.
? Chapter 8, Functional and Reactive Programming Features, provides us with methods to writing small, expressive functions that perform the required data transformations. Moving ahead, you will learn about the idea of reactive programming, that is, having processing rules that are evaluated when the inputs become available or change.
? Chapter 9,

목차

▶TABLE of CONTENTS
1: NUMBERS, STRINGS, AND TUPLES
2: STATEMENTS AND SYNTAX
3: FUNCTION DEFINITIONS
4: BUILT-IN DATA STRUCTURES ？ LIST, SET, DICT
5: USER INPUTS AND OUTPUTS
6: BASICS OF CLASSES AND OBJECTS
7: MORE ADVANCED CLASS DESIGN
8: FUNCTIONAL AND REACTIVE PROGRAMMING FEATURES
9: INPUT/OUTPUT, PHYSICAL FORMAT, AND LOGICAL LAYOUT
10: STATISTICAL PROGRAMMING AND LINEAR REGRESSION
11: TESTING
12: WEB SERVICES
13: APPLICATION INTEGRATION

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▶Editorial Review
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.

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저자(글) Steven F. Lott

？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 over 10 years.He's currently leveraging Python to implement microservices and ETL pipelines. His other titles with Packt Publishing 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. His technology blog is http://slott-softwarearchitect.blogspot.com and his LinkedIn address is https://www.linkedin.com/in/steven-lott-029835.