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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 course, 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. Target Audience Python Fundamentals is great for anyone who wants to start using Python to build anything from simple command-line programs to web applications. Prior knowledge of Python isn't required.  Business Outcomes <ul><li>A comprehensive introduction to the world of Python programming </li><li>Paves an easy-to-follow path for you to navigate through concepts</li><li>Filled with practical demos to reinforce your learning</li></ul>

<ul>
	<li>Course Overview</li>
	<li>Lesson Overview</li>
	<li>An Introduction to Python</li>
	<li>Setting up and Experiencing Python</li>
	<li>Writing and Running Programs in Python</li>
	<li>Naming Identifiers</li>
	<li>Python Syntax</li>
	<li>Lesson Summary</li>
</ul>

Python Fundamentals takes you from zero experience to a complete understanding of key concepts, edge cases, and using Python for real-world application development. You'll move progressively from the basics to working with larger complex applications. After completing this course, you'll have the skills you need to dive into an existing application or start your own project.

Course Overview

This video forms part of the course Python Fundamentals 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 course, 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. Target AudiencePython Fundamentals is great for anyone who wants to start using Python to build anything from simple command-line programs to web applications. Prior knowledge of Python isn't required. Business Outcomes <ul><li>A comprehensive introduction to the world of Python programming</li><li>Paves an easy-to-follow path for you to navigate through concepts</li><li>Filled with practical demos to reinforce your learning</li></ul>

An Introduction to Python

This video forms part of the course Python Fundamentals
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 course, 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. Target AudiencePython Fundamentals is great for anyone who wants to start using Python to build anything from simple command-line programs to web applications. Prior knowledge of Python isn't required. Business Outcomes
<ul><li>A comprehensive introduction to the world of Python programming</li><li>Paves an easy-to-follow path for you to navigate through concepts</li><li>Filled with practical demos to reinforce your learning</li></ul>

Setting up and Experiencing Python

Writing and Running Programs in Python

Naming Identifiers

Python Syntax

Let us now summarize our learning from this lesson.

Lesson Summary

Test your understanding about this lesson by taking this assessment.

Assessment

Lesson 1: An Introduction to Python

<ul>
	<li>Lesson Overview</li>
	<li>Variables, Values, and Data Types</li>
	<li>User Input</li>
	<li>Lesson Summary</li>
</ul>

In this lesson, we'll cover variables, values, and user input function.

Lesson Overview

Variables, Values, and Data Types

User Input

Lesson 2: Variables

<ul>
	<li>Lesson Overview</li>
	<li>Numerical Data</li>
	<li>Strings – Part I</li>
	<li>String – Part II</li>
	<li>String – Part III</li>
	<li>String Methods/Functions</li>
	<li>Lists</li>
	<li>Booleans</li>
	<li>Lesson Summary</li>
</ul>

In this lesson, we will look at other data types that are supported by Python. Data types classify data, to tell the interpreter how the program intends to utilize that data. Data types define the different operations that can be performed on the data, how the data is stored, and the meaning of the data. Let us cover the following topics:

<ul>
	<li>Numerical data</li>
	<li>Strings</li>
	<li>Lists</li>
	<li>Booleans</li>
</ul>

Numerical Data

Strings – Part I

String – Part II

String – Part III

String Methods/Functions

Booleans

Lesson 3: Data Types

<ul>
	<li>Lesson Overview</li>
	<li>Control Statements</li>
	<li>The while Statement</li>
	<li>Loops</li>
	<li>The range Function and Nesting Loops</li>
	<li>Breaking Out of Loops</li>
	<li>Lesson Summary</li>
</ul>

In this lesson, we are going to build on the knowledge that we have acquired so far to dive deeper into the beautiful language that is Python. We will explore how Python handles control statements—in simple terms, how Python handles decision making, for instance, resulting to True if 2 + 3 = 5. We will also dive deeper into program flow control. In particular, we will look at how we can run code repeatedly or in a loop.

Control Statements

The while Statement

Loops

The range Function and Nesting Loops

Breaking Out of Loops

Lesson 4: Control Statements and Loops

<ul>
	<li>Lesson Overview</li>
	<li>Functions and Its Types</li>
	<li>Local and Global Variables</li>
	<li>Using main ()</li>
	<li>Function Arguments</li>
	<li>Anonymous Functions</li>
	<li>Lesson Summary</li>
</ul>

In this lesson, we will build on knowledge by implementing what we have learned in the previous lesson, to build functions in Python.

Functions and Its Types

Local and Global Variables

Using main ()

Function Arguments

Anonymous Functions

Lesson 5: Functions

<ul>
	<li>Lesson Overview</li>
	<li>Lists</li>
	<li>List Methods</li>
	<li>List Methods and List Comprehensions</li>
	<li>Tuples</li>
	<li>Tuple Methods</li>
	<li>Lesson Summary</li>
</ul>

In this lesson, we'll delve deep into lists and tuples, right from creating and accessing to describing and implementing various methods with them.

This video forms part of the course Python Fundamentals 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 course, 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. Target AudiencePython Fundamentals is great for anyone who wants to start using Python to build anything from simple command-line programs to web applications. Prior knowledge of Python isn't required. Business Outcomes <ul><li>A comprehensive introduction to the world of Python programming</li><li>Paves an easy-to-follow path for you to navigate through concepts</li><li>Filled with practical demos to reinforce your learning</li></ul>

List Methods

List Methods and List Comprehensions

Tuples

Tuple Methods

Lesson 6: Lists and Tuples

<ul>
	<li>Lesson Overview</li>
	<li>Dictionaries</li>
	<li>Working with Dictionaries – Part I</li>
	<li>Working with Dictionaries – Part II</li>
	<li>Sets</li>
	<li>Lesson Summary</li>
</ul>

In this lesson, we'll understand the working of dictionaries and sets.

Dictionaries

Working with Dictionaries – Part I

Working with Dictionaries – Part II

Sets

Lesson 7: Dictionaries and Sets

<ul>
	<li>Lesson Overview</li>
	<li>Classes, Objects and Their Attributes</li>
	<li>The __init__ Method</li>
	<li>Methods in Classes</li>
	<li>Automated Geometric Calculations Scenario</li>
	<li>Class Attributes</li>
	<li>Elevator Class Attribute Scenario</li>
	<li>Class Methods</li>
	<li>Encapsulation and Information Hiding</li>
	<li>Class Inheritance</li>
	<li>Overriding Methods</li>
	<li>Lesson Summary</li>
</ul>

At the beginning of this course, we mentioned that Python is multi-paradigm, as it supports solving problems in a functional, imperative, procedural, and object-oriented way. In this lesson, we will be diving into object-oriented programming in Python.

Classes, Objects and Their Attributes

The __init__ Method

Methods in Classes

Automated Geometric Calculations Scenario

Class Attributes

Elevator Class Attribute Scenario

Encapsulation and Information Hiding

Class Methods

Class Inheritance

Overriding Methods

Lesson 8: Object-Oriented Programming

<ul>
	<li>Lesson Overview</li>
	<li>Creating and Using Modules</li>
	<li>Built-in Modules</li>
	<li>Packages</li>
	<li>File Operations</li>
	<li>Top 100 Words Scenario</li>
	<li>Top 100 Words Scenario – Solution Part I</li>
	<li>Top 100 Words Scenario – Solution Part II</li>
	<li>Handling Structured Data</li>
	<li>Lesson Summary</li>
</ul>

In the previous lesson, we have covered object-oriented programming in depth. We have covered important OOP concepts such as classes, methods, and inheritance. In this lesson, we will take a look at modules and file operations.

Creating and Using Modules

Built-in Modules

Packages

File Operations

Top 100 Words Scenario

Top 100 Words Scenario – Solution Part I

Top 100 Words Scenario – Solution Part II

Handling Structured Data

Lesson 9: Modules, Packages, and File Operations

<ul>
	<li>Lesson Overview</li>
	<li>Introduction</li>
	<li>Built-In Exceptions</li>
	<li>Handling Errors and Exceptions</li>
	<li>Lesson Summary</li>
</ul>

By now, you will have probably encountered many errors while coding in Python. This lesson aims to equip you with a better understanding of why errors occur and what to do about them when they do. This helps prevent scenarios where, for example, an error occurs on your application and because it is not handled well, brings the whole application down.

Python Fundamentals

What you'll learn

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