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

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

Fabrizio Romano, Benjamin Baka, Dusty Phillips

Ebook
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

  • 1. A Gentle Introduction to Python
  • 2. Built-in Data Types
  • 3. Iterating and Making Decisions
  • 4. Functions, the Building Blocks of Code
  • 5. Saving Time and Memory
  • 6. Files and Data Persistence
  • 7. Principles of Algorithm Design
  • 8. Lists and Pointer Structures
  • 9. Stacks and Queues
  • 10. Trees
  • 11. Hashing and Symbol Tables
  • 12. Graphs and Other Algorithms
  • 13. Searching
  • 14. Sorting
  • 15. Selection Algorithms
  • 16. Design Techniques and Strategies
  • 17. Object-Oriented Design
  • 18. Objects in Python
  • 19. When Objects Are Alike
  • 20. Expecting the Unexpected
  • 21. When to Use Object-Oriented Programming
  • 22. Python Object-Oriented Shortcuts
  • 23. Strings and Serialization
  • 24. The Iterator Pattern
  • 25. Python Design Patterns I
  • 26. Python Design Patterns II
  • 27. Testing Object-Oriented Programs
  • Tytuł: Getting Started with Python. Understand key data structures and use Python in object-oriented programming
  • Autor: Fabrizio Romano, Benjamin Baka, Dusty Phillips
  • Tytuł oryginału: Getting Started with Python. Understand key data structures and use Python in object-oriented programming
  • ISBN: 9781838551919, 9781838551919
  • Data wydania: 2019-02-27
  • Format: Ebook
  • Identyfikator pozycji: e_14qg
  • Wydawca: Packt Publishing