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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

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Profile Icon Fabrizio Romano Profile Icon Dusty Phillips Profile Icon Benjamin Baka
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Course Feb 2019 722 pages 1st Edition
Arrow left icon
Profile Icon Fabrizio Romano Profile Icon Dusty Phillips Profile Icon Benjamin Baka
Arrow right icon
Course Feb 2019 722 pages 1st Edition

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

Who is this book for?

If you are relatively new to coding and want to write scripts or programs to accomplish tasks using Python, or if you are an object-oriented programmer for other languages and seeking a leg up in the world of Python, then this Learning Path is for you. Though not essential, it will help you to have basic knowledge of programming and OOP.

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, Length, Edition, Language, ISBN-13
Publication date : Feb 27, 2019
Length: 722 pages
Edition : 1st
Language : English
ISBN-13 : 9781838551919
Category :
Languages :

Product Details

Publication date : Feb 27, 2019
Length: 722 pages
Edition : 1st
Language : English
ISBN-13 : 9781838551919
Category :
Languages :

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Table of Contents

24 Chapters
A Gentle Introduction to Python Chevron down icon Chevron up icon
Built-in Data Types Chevron down icon Chevron up icon
Iterating and Making Decisions Chevron down icon Chevron up icon
Functions, the Building Blocks of Code Chevron down icon Chevron up icon
Files and Data Persistence Chevron down icon Chevron up icon
Principles of Algorithm Design Chevron down icon Chevron up icon
Lists and Pointer Structures Chevron down icon Chevron up icon
Stacks and Queues Chevron down icon Chevron up icon
Trees Chevron down icon Chevron up icon
Hashing and Symbol Tables Chevron down icon Chevron up icon
Graphs and Other Algorithms Chevron down icon Chevron up icon
Searching Chevron down icon Chevron up icon
Sorting Chevron down icon Chevron up icon
Selection Algorithms Chevron down icon Chevron up icon
Object-Oriented Design Chevron down icon Chevron up icon
Objects in Python Chevron down icon Chevron up icon
When Objects Are Alike Chevron down icon Chevron up icon
Expecting the Unexpected Chevron down icon Chevron up icon
When to Use Object-Oriented Programming Chevron down icon Chevron up icon
Python Object-Oriented Shortcuts Chevron down icon Chevron up icon
The Iterator Pattern Chevron down icon Chevron up icon
Python Design Patterns I Chevron down icon Chevron up icon
Python Design Patterns II Chevron down icon Chevron up icon
Testing Object-Oriented Programs Chevron down icon Chevron up icon
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