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
Getting Started with Python: Understand key data structures and use Python in object-oriented programming by Fabrizio Romano
English | 2019 | ISBN: 1838551919 | 722 Pages | EPUB | 10 MB

Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information
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