finelybook
Getting Started with Python: Understand key data structures and use Python in object-oriented programming
Authors: Fabrizio Romano - Benjamin Baka - Dusty Phillips
ISBN-10 书号: 1838551913
ISBN-13 书号: 9781838551919
Publisher Finelybook 出版日期: 2019-02-27
pages 页数: 722 pages
Description
More Information
Learn
Use data structures and control flow to write code
Use functions to bundle together a sequence of instructions
Implement objects in Python by creating classes and defining methods
Design public interfaces using abstraction,encapsulation and information hiding
Raise,define,and manipulate exceptions using special error objects
Create bulletproof and reliable software by writing unit tests
Learn the common programming patterns and algorithms used in Python
About
This Learning Path helps you get comfortable with the world of Python. It starts with a thorough and practical introduction to Python. You’ll quickly start writing programs,building websites,and working with data by harnessing Python's renowned data science libraries. With the power of linked lists,binary searches,and sorting algorithms,you'll easily create complex data structures,such as graphs,stacks,and queues. After understanding cooperative inheritance,you'll expertly raise,handle,and manipulate exceptions. You will effortlessly integrate the object-oriented and not-so-object-oriented aspects of Python,and create maintainable applications using higher level design patterns. Once you’ve covered core topics,you’ll understand the joy of unit testing and just how easy it is to create unit tests.
By the end of this Learning Path,you will have built components that are easy to understand,debug,and can be used across different applications.
This Learning Path includes content from the following Packt products:
Learn Python Programming Second Edition by Fabrizio Romano
Python Data Structures and Algorithms by Benjamin Baka
Python 3 Object-Oriented Programming by Dusty Phillips
Features
Turn your designs into working software by learning the Python syntax
Write robust code with a solid understanding of Python data structures
Understand when to use the functional or the OOP approach
contents
1 A Gentle Introduction to Python
2 Built-in Data Types
3 Iterating and Making Decisions
4 Functions,the Building Blocks of Code
5 Files and Data Persistence
6 Principles of Algorithm Design
7 Lists and Pointer Structures
8 Stacks and Queues
9 Trees
10 Hashing and Symbol Tables
11 Graphs and Other Algorithms
12 Searching
13 Sorting
14 Selection Algorithms
15 Object-Oriented Design
16 Objects in Python
17 When Objects Are Alike
18 Expecting the Unexpected
19 When to Use Object-Oriented Programming
20 Python Object-Oriented Shortcuts
21 The Iterator Pattern
22 Python Design Patterns I
23 Python Design Patterns II
24 Testing Object-Oriented Programs
