Learn Python programming by hands-on examples

Last Update: Feb 25, 2024

Learn Python programming by hands-on examples

Free

About Course

Python is currently the most popular programming language, and it very easy for anyone to learn.

This hands-on self-paced Python programming course shows how to rapidly develop and maintain effective Python programs. The course includes thorough coverage of Python syntax, built in data types and control constructs. The course takes a practical approach to creating and organizing Python programs using functions, packages, modules.

You will learn how to use Python to create scripts that manipulate data, automate tasks, and perform error handling. You will be able to create Python scripts that are essentials for all system administration jobs.

Right after taking this self-paced course, you can take any of below live courses to take your Python skills to the next level:

Learning Objectives

In this hands-on self-paced course, you will learn:

Working with Python’s built-in objects
Reading and writing files
Creating variables and objects in Python
Creating structured data with lists, tuples, sets and dictionaries
Performing conversion operations on numbers
Using conditional constructs to control flow of execution
Organizing code with functions and classes
Using exceptions to gracefully handle errors

Topics and Subtopics

1- Introduction to Python 3

Origin and Goals of Python
Overview of Python Features
Getting and Installing Python
Accessing Python Documentation: Python Enhancement Proposals (PEP)
Python’s Strengths
Using Python with Other Programming Languages

2- Using Python

Executing Python Programs from the Command Line
Python Command Line Options
Environment Variables that Influence Python
Creating Python GUI Applications
Standalone vs. Web-Enabled Interfaces
The Python Standard Library

3- Language Fundamentals

Python’s Lexical Analyzer
Using Whitespace to Structure Programs
Identifiers and Keywords
Python’s Execution Model
Naming Objects and Binding
Python’s Data Model
Immutable and Mutable Objects
Values
Types
Creating and Using Variables

4- Flow Control Constructs

if/elif/else Statements
Creating Loops with while and for
Understanding Iterators
Returning Values with return Statements
Loop Modification with break and continue
Returning Generator Iterators with the yield Statement
Retrieving Iterators with next()

5- Expressions

Unary and Binary Arithmetic Operations
Comparison and Boolean Operations
Conditional Expressions
Lambda Expressions
Order of Operations and Operator Evaluation
Expression Lists
Assignment Operations

6- Exception Handling

Types of Python Exceptions
Handling Exceptions with try/except/finally
Triggering Exceptions with raise
Defining New Exception Types
Implementing Exception Handling in Functions, Methods and Classes
Working with the Regular Expression Error Exception

7- Using the String Object

Using ASCII and Unicode Strings
Manipulating Strings with String Methods
Using the format() Function to Format Strings
Using Escape Sequences
Working with Raw Strings

8- Organizing Code

Defining Functions
Calling Functions
Creating Anonymous Functions
Altering Function Functionality with Decorator Functions
Creating Classes with the class Statement
Creating Objects as Class Instances
Using Preexisting Classes as the Basis of a New Class
Using Modules to Group Related Functions, Classes and Variables
Locating and Importing Modules
Using Packages to Group Modules Together

9- Arrays, Collections and Dictionaries

Sequenced Data Structures
Arrays
Collections
Dictionaries
Creating and Accessing Lists
Manipulating Lists
Creating and Accessing Tuples
Understanding the Differences Between Lists and Tuples
Using Dictionaries to Create Data Records
Manipulating Dictionaries Using Dictionary Methods
Creating Sets
Performing Set Operations
Union
Intersect
Difference
Differences Between Sets and Dictionaries
Using Generators to Return Iterators

10- Working with Arguments

Passing Arguments to Functions by Reference and by Value
Defining Functions with Required Arguments
Defining Functions with Default Arguments
Defining Flexible Functions that Take Variable Length Arguments

Project 1- Rolling Dice

Project 2- Reverse String

Project 3- Hangman Game

Project 4- Python Tasks with Loop, Conditional Statements and More

Requirements

None.

Related Courses

Complete Training Bundle

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Private Tutoring Classes

To take skills you learn from this course to the next level, taking the following tutoring classes are highly recommended. It is also a great opportunity to discuss your questions and problems related to this course with an experienced instructor:

What Is Next?

After finishing this course, you can enroll in any of following classes:

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Learn Python programming by hands-on examples