Getting Started With Python: Understand Key Data Structures and Use Python in Object-Oriented Programming
Fabrizio Romano & Benjamin Baka & Dusty Phillips
Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information
Key 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
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.
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