Book Image

Python Fundamentals

By : Ryan Marvin, Mark Ng’ang’a, Amos Omondi
Book Image

Python Fundamentals

By: Ryan Marvin, Mark Ng’ang’a, Amos Omondi

Overview of this book

<p>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.</p> <p>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.</p> <p>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.</p>

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Table of Contents (12 chapters)
Python Fundamentals
Python Fundamentals
Preface
Preface
Free Chapter
1
Introducing Python
Introducing Python
Introduction
Working with the Python Interactive Shell
Writing and Running Simple Scripts
Python Syntax
Variables
User Input, Comments, and Indentations
Summary
2
Data Types
Data Types
Introduction
Numerical Data
Strings
Lists
Booleans
Summary
3
Control Statements
Control Statements
Introduction
Control Statements
The if Statement
The while Statement
while Versus if
Loops
The for Loop
The range Function
Nesting Loops
Breaking Out of Loops
Summary
4
Functions
Functions
Introduction
Built-In Functions
User-Defined Functions
Function Arguments
Anonymous Functions
Summary
5
Lists and Tuples
Lists and Tuples
Introduction
List Syntax
List Methods
List Comprehensions
Tuple Syntax
Accessing Tuple Elements
Accessing Tuple Elements
Tuple Methods
Summary
6
Dictionaries and Sets
Dictionaries and Sets
Introduction
Working with Dictionaries
Additional Dictionary Attributes
Ordered Dictionaries
The Basics of Sets
Set Operations
Frozen Sets
Summary
7
Object-Oriented Programming
Object-Oriented Programming
Introduction
A First Look at OOP
OOP in Python
Methods in a Class
Class Versus Instance Attributes
Class Versus Instance Methods
Class Inheritance
Multiple Inheritance
Summary
8
Modules, Packages, and File Operations
Modules, Packages, and File Operations
Introduction
Defining Modules
Imports and Import Statements
Modules and Packages
File Operations
The file Object
Reading and Writing to Files
Handling Structured Data
Summary
9
Error Handling
Error Handling
Introduction
Built-In Exceptions
Handling Errors and Exceptions
Custom Exceptions
Summary
Appendix A
Appendix A
Chapter 1: Introducing Python
Chapter 2: Data Types
Chapter 3: Control Statements
Chapter 4: Functions
Chapter 5: Lists and Tuples
Chapter 6: Dictionaries and Sets
Chapter 7: Object-Oriented Programming
Chapter 8: Modules, Packages, and File Operations
Chapter 9: Error Handling

The range Function

Python's range function is a built-in function that generates a list of numbers. This list is mostly used to iterate over using a for loop.

This function is used when you want to perform an action a predetermined number of times, where you may or may not care about the index, for instance, finding or calculating all even numbers between 0 and 100, where Python will list or print out all even numbers in that range, excluding 100, even though it is an even number. You can also use it to iterate over a list (or another iterable) while keeping track of the index.

The basic syntax of the range function is as follows:

range([start], stop, [step])

Here is a breakdown of what each parameter does:

  • start: This is the starting number of the sequence.

  • stop: This means generate numbers up to but not including this number.

  • step: This is the difference between each number in the sequence.

As a general rule, when a parameter is enclosed in square brackets [] in the function definition, it means...

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