Book Image

Python Fundamentals

By : Ryan Marvin, Mark Nganga, Amos Omondi
Book Image

Python Fundamentals

By: Ryan Marvin, Mark Nganga, Amos Omondi

Overview of this book

After a brief history of Python and key differences between Python 2 and Python 3, you'll understand how Python has been used in applications such as YouTube and Google App Engine. As you work with the language, you'll learn about control statements, delve into controlling program flow and gradually work on more structured programs via functions. As you settle into the Python ecosystem, you'll learn about data structures and study ways to correctly store and represent information. By working through specific examples, you'll learn how Python implements object-oriented programming (OOP) concepts of abstraction, encapsulation of data, inheritance, and polymorphism. You'll be given an overview of how imports, modules, and packages work in Python, how you can handle errors to prevent apps from crashing, as well as file manipulation. By the end of this book, you'll have built up an impressive portfolio of projects and armed yourself with the skills you need to tackle Python projects in the real world.
Table of Contents (12 chapters)
Python Fundamentals
Preface

Summary


In this chapter, we covered dictionaries and their types (the default, unordered dict, and the specialized OrderedDict). We also looked at attributes defined on dictionary objects and their use cases; for example, update and setdefault. Using these attributes, we learned how to iterate through dictionaries and modify them to achieve particular goals.

We also covered sets in this chapter, which are collections of unique and unordered items. We covered operations that you can perform on sets, such as finding unions and intersections, and other specialized operations, such as finding the difference and symmetric difference. We also looked at what frozen sets are, and the potential uses for them.

In the next chapter, we will begin our journey into object-oriented programming with Python, and we will look at how Python implements OOP concepts, such as classes and inheritance.