Modern Python Cookbook: 133 recipes to develop flawless and expressive programs in Python 3.8,2nd Edition
by: Steven F. Lott
Print Length 页数: 822 pages
ISBN-10: 180020745X
ISBN-13: 9781800207455
05 x 4.72 x 23.5 cm
Publisher finelybook 出版社: Packt Publishing; 2nd edition (31 July 2020)
Language 语言: English
Book Description
By finelybook
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.
Python is the preferred choice of developers,engineers,data scientists,and hobby: ists everywhere. It is a great language that can power your applications and provide great speed,safety,and scalability. It can be used for simple python scripting or sophisticated web applications. 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 120 recipes on the latest version of Python 3.8. The recipes will benefit everyone from beginner starting out with Python to an expert. You’ll not only learn Python programming concepts but also complex applications.
The recipes will touch upon all necessary Python concepts related to data structures,OOP,functional,and statistical programming. You will get acquainted with nuances of Python syntax and how to effectively take advantage of it.
By the end of this Python book,you will be equipped with the knowledge of testing,web services,configuration and application integration tips and tricks. 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 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
