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Getting Started with Python
Getting Started with Python

Getting Started with Python: Understand key data structures and use Python in object-oriented programming

By Mr. Fabrizio Romano , Benjamin Baka , Dusty Phillips
$15.99 per month
Book Feb 2019 pages 1st Edition

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Key benefits

  • 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

Description

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

What you will 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

Product Details

Country selected

Publication date : Feb 27, 2019
Length pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838551919
Category :

What do you get with a Packt Subscription?

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Product Details


Publication date : Feb 27, 2019
Length pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838551919
Category :

Table of Contents

31 Chapters
Title Page Chevron down icon Chevron up icon
Copyright and Credits Chevron down icon Chevron up icon
About Packt Chevron down icon Chevron up icon
Contributors Chevron down icon Chevron up icon
Preface Chevron down icon Chevron up icon
1. A Gentle Introduction to Python Chevron down icon Chevron up icon
2. Built-in Data Types Chevron down icon Chevron up icon
3. Iterating and Making Decisions Chevron down icon Chevron up icon
4. Functions, the Building Blocks of Code Chevron down icon Chevron up icon
5. Files and Data Persistence Chevron down icon Chevron up icon
6. Principles of Algorithm Design Chevron down icon Chevron up icon
7. Lists and Pointer Structures Chevron down icon Chevron up icon
8. Stacks and Queues Chevron down icon Chevron up icon
9. Trees Chevron down icon Chevron up icon
10. Hashing and Symbol Tables Chevron down icon Chevron up icon
11. Graphs and Other Algorithms Chevron down icon Chevron up icon
12. Searching Chevron down icon Chevron up icon
13. Sorting Chevron down icon Chevron up icon
14. Selection Algorithms Chevron down icon Chevron up icon
15. Object-Oriented Design Chevron down icon Chevron up icon
16. Objects in Python Chevron down icon Chevron up icon
17. When Objects Are Alike Chevron down icon Chevron up icon
18. Expecting the Unexpected Chevron down icon Chevron up icon
19. When to Use Object-Oriented Programming Chevron down icon Chevron up icon
20. Python Object-Oriented Shortcuts Chevron down icon Chevron up icon
21. The Iterator Pattern Chevron down icon Chevron up icon
22. Python Design Patterns I Chevron down icon Chevron up icon
23. Python Design Patterns II Chevron down icon Chevron up icon
24. Testing Object-Oriented Programs Chevron down icon Chevron up icon
1. Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

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