Python For Beginners

Jumpstart your coding journey! Python for beginners made easy—learn with Replit and master lists, strings, and real-world data in one day. Read more.

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Course Skill Level
Beginner
Time Estimate
3h 37m

Paul is the CEO/Managing Director and Chief Consultant at Pashun Consulting Ltd, author of Scrum Mega Pack and a certified scrum master and coach with experience in international blue chip companies dating back to 1999. Certified Scrum Master (10 years running Web, Mobile and Internet TV projects ) Portfolio/PMO Manager (coordinating agile teams, managing budgets, and continuous improvement for agile teams) Software Developer (10 years+ Experience developing web, Interactive TV and Mobile ap

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About This Course

Who this course is for:

  • Software Developers
  • Software Engineers
  • Computer Programmers
  • Anyone transitioning to Python from another language

What you’ll learn: 

  • Master the fundamentals of Python programming
  • Set up and install Python quickly to start coding right away
  • Process data and build practical projects like an Olympics medals table in less than a day
  • Apply your skills confidently when applying for Python developer roles
  • Solve real-world problems for customers using Python
  • Gain hands-on experience with storing, processing, and managing information
  • Work fluently with core Python concepts like lists, strings, functions, dictionaries, arrays, and sets
  • Analyze real-world datasets using Python’s powerful data analysis tools
  • Follow step-by-step instructions with no prior programming experience required

Requirements: 

  • No previous programming knowledge needed — this course is designed as a comprehensive guide to Python for beginners

What is Python ?

Python is one of today’s most in-demand programming languages, known for its simplicity and versatility. Whether you’re exploring data analysis, web development, or machine learning, Python is a key skill that opens the door to numerous tech career paths.

Created by Guido van Rossum in the late 1980s, Python was designed to be easy to read and write—making it an ideal choice for both new and experienced developers. Its applications range from powering website backends and automating workflows to teaching kids how to code and driving AI systems.

This course is structured to help absolute beginners build a strong foundation in Python. You’ll start with installing Python and understanding what it is, then move on to storing and processing data, tidying messy data, working with files, handling errors, and presenting insights effectively.

Each module includes exercises to reinforce your learning and real-world projects to apply your knowledge—making it the best way to learn Python if you’re looking for a hands-on, practical approach.

Whether you’re transitioning careers or simply adding a new skill to your toolkit, this course is a trusted starting point for anyone serious about Python for beginners.

Get started today and take your first step into the world of Python programming.

Our Promise to You

By the end of this course, you’ll have a solid grasp of Python fundamentals and the confidence to write Python code fluently.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Explore more courses on my profile and keep leveling up your skills, one course at a time.

Not into videos? Maybe a blog would do you better? Here’s a blog selection for you.

Course Curriculum

Python For Beginners Resources
Python For Beginners Resources 00:00:00
Section 1 - Introduction
Introduction 00:00:00
Learning Objectives - Introduction 00:00:00
What Is Python? 00:00:00
The Example 00:00:00
Section 2 - Getting Set Up
Learning Objectives - Getting Set Up 00:00:00
How To Get Started With Replit 00:00:00
Writing Your First Python Program - Hello World 00:00:00
How To Work With Exercises 00:00:00
Section 3 - Storing Information
Learning Objectives - Storing Information 00:00:00
Object And Variables 00:00:00
Variable Names 00:00:00
Numbers 00:00:00
Strings 00:00:00
Showing Output When Running Python 00:00:00
Section 4 - Processing Information
Learning Objectives - Processing Information 00:00:00
Processing Information 00:00:00
Indexing 00:00:00
Slices 00:00:00
String Functions 00:00:00
The ‘Input’ Function 00:00:00
More String Operations 00:00:00
Converting Between Different Types 00:00:00
Section 5 - Comparing Information
Learning Objectives - Comparing Information 00:00:00
Comparing Information 00:00:00
Section 6 - Tidying Messy Data
Learning Objectives - Tidying Messy Data 00:00:00
Tidying Messy Data 00:00:00
Section 7 - Storing Multiple Things
Learning Objectives - Storing Multiple Things 00:00:00
Storing Multiple Things 00:00:00
Introducing Python Lists 00:00:00
Adding Items To A List 00:00:00
Indexing And Slicing Lists 00:00:00
Deleting Items In A List 00:00:00
Tuples 00:00:00
Long Lines In Python 00:00:00
Dictionaries 00:00:00
List Functions - More Ways To Work With Lists 00:00:00
Sets 00:00:00
Section 8 - Processing Collections
Learning Objectives - Processing Collections 00:00:00
A Simple ‘For’ Loop 00:00:00
More Complex ‘For’ Loops - ‘Break’, ‘Continue’ And ‘Else’ 00:00:00
The ‘Range’ Function - How To Create A List Of Numbers 00:00:00
The ‘While’ Loop - Do Something For A While 00:00:00
Section 9 - Robust Programs - Handling Errors
Learning Objectives - Robust Programs - Handling Errors 00:00:00
Robust Programs - Handling Errors 00:00:00
Look Before You Leap 00:00:00
The Try And Except Block 00:00:00
The Catch All Block 00:00:00
Adding Resources To Replit 00:00:00
The Finally Block 00:00:00
Section 10 - Saving The Results - Working With Files
Learning Objectives - Saving The Results - Working With Files 00:00:00
Adding Bad Data 00:00:00
Saving The Results - Working With Files 00:00:00
Binary File Modes 00:00:00
Text File Modes 00:00:00
The With Statement 00:00:00
Section 11 - Breaking Up Larger Programs, Part 1
Learning Objectives - Breaking Up Larger Programs, Part 1 00:00:00
About Replit.Config 00:00:00
Functions 00:00:00
Function Parameters 00:00:00
Local Versus Global Variables 00:00:00
Positional And Keyword Parameters 00:00:00
Return Statement 00:00:00
Working With JSON 00:00:00
Code Comments And Clear Code 00:00:00
Section 12 - Summarising And Presenting The Results
Learning Objectives - Summarising And Presenting The Results 00:00:00
Summarising And Presenting The Results Part 1 00:00:00
Cleaning The Data 00:00:00
Summarising And Presenting The Results Part 2 00:00:00
More Numeric Functions - Min, Max, Sum 00:00:00
Formatted Strings, F-Strings 00:00:00
Section 13 - Breaking Up Larger Programs, Part 2
Learning Objectives - Breaking Up Larger Programs, Part 2 00:00:00
Splitting Code Into Modules 00:00:00
Namespaces 00:00:00
Using Our Modules 00:00:00
Section 14 - Optional: Getting Set Up On PC Or Mac
Learning Objectives - Getting Set Up On A Pc Or Mac 00:00:00
Getting Set Up 00:00:00
Starting Python On Windows 10 00:00:00
Starting A Terminal Or Command Prompt On Windows 00:00:00
Installing Python On Windows 00:00:00
Installing Python On Macos 00:00:00
Quick Python Test - Running Python 00:00:00
Python Scripts And IDLE 00:00:00
Code Editors And IDES 00:00:00
Running Python Scripts 00:00:00

About This Course

Who this course is for:

  • Software Developers
  • Software Engineers
  • Computer Programmers
  • Anyone transitioning to Python from another language

What you’ll learn: 

  • Master the fundamentals of Python programming
  • Set up and install Python quickly to start coding right away
  • Process data and build practical projects like an Olympics medals table in less than a day
  • Apply your skills confidently when applying for Python developer roles
  • Solve real-world problems for customers using Python
  • Gain hands-on experience with storing, processing, and managing information
  • Work fluently with core Python concepts like lists, strings, functions, dictionaries, arrays, and sets
  • Analyze real-world datasets using Python’s powerful data analysis tools
  • Follow step-by-step instructions with no prior programming experience required

Requirements: 

  • No previous programming knowledge needed — this course is designed as a comprehensive guide to Python for beginners

What is Python ?

Python is one of today’s most in-demand programming languages, known for its simplicity and versatility. Whether you’re exploring data analysis, web development, or machine learning, Python is a key skill that opens the door to numerous tech career paths.

Created by Guido van Rossum in the late 1980s, Python was designed to be easy to read and write—making it an ideal choice for both new and experienced developers. Its applications range from powering website backends and automating workflows to teaching kids how to code and driving AI systems.

This course is structured to help absolute beginners build a strong foundation in Python. You’ll start with installing Python and understanding what it is, then move on to storing and processing data, tidying messy data, working with files, handling errors, and presenting insights effectively.

Each module includes exercises to reinforce your learning and real-world projects to apply your knowledge—making it the best way to learn Python if you’re looking for a hands-on, practical approach.

Whether you’re transitioning careers or simply adding a new skill to your toolkit, this course is a trusted starting point for anyone serious about Python for beginners.

Get started today and take your first step into the world of Python programming.

Our Promise to You

By the end of this course, you’ll have a solid grasp of Python fundamentals and the confidence to write Python code fluently.

10 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Explore more courses on my profile and keep leveling up your skills, one course at a time.

Not into videos? Maybe a blog would do you better? Here’s a blog selection for you.

Course Curriculum

Python For Beginners Resources
Python For Beginners Resources 00:00:00
Section 1 - Introduction
Introduction 00:00:00
Learning Objectives - Introduction 00:00:00
What Is Python? 00:00:00
The Example 00:00:00
Section 2 - Getting Set Up
Learning Objectives - Getting Set Up 00:00:00
How To Get Started With Replit 00:00:00
Writing Your First Python Program - Hello World 00:00:00
How To Work With Exercises 00:00:00
Section 3 - Storing Information
Learning Objectives - Storing Information 00:00:00
Object And Variables 00:00:00
Variable Names 00:00:00
Numbers 00:00:00
Strings 00:00:00
Showing Output When Running Python 00:00:00
Section 4 - Processing Information
Learning Objectives - Processing Information 00:00:00
Processing Information 00:00:00
Indexing 00:00:00
Slices 00:00:00
String Functions 00:00:00
The ‘Input’ Function 00:00:00
More String Operations 00:00:00
Converting Between Different Types 00:00:00
Section 5 - Comparing Information
Learning Objectives - Comparing Information 00:00:00
Comparing Information 00:00:00
Section 6 - Tidying Messy Data
Learning Objectives - Tidying Messy Data 00:00:00
Tidying Messy Data 00:00:00
Section 7 - Storing Multiple Things
Learning Objectives - Storing Multiple Things 00:00:00
Storing Multiple Things 00:00:00
Introducing Python Lists 00:00:00
Adding Items To A List 00:00:00
Indexing And Slicing Lists 00:00:00
Deleting Items In A List 00:00:00
Tuples 00:00:00
Long Lines In Python 00:00:00
Dictionaries 00:00:00
List Functions - More Ways To Work With Lists 00:00:00
Sets 00:00:00
Section 8 - Processing Collections
Learning Objectives - Processing Collections 00:00:00
A Simple ‘For’ Loop 00:00:00
More Complex ‘For’ Loops - ‘Break’, ‘Continue’ And ‘Else’ 00:00:00
The ‘Range’ Function - How To Create A List Of Numbers 00:00:00
The ‘While’ Loop - Do Something For A While 00:00:00
Section 9 - Robust Programs - Handling Errors
Learning Objectives - Robust Programs - Handling Errors 00:00:00
Robust Programs - Handling Errors 00:00:00
Look Before You Leap 00:00:00
The Try And Except Block 00:00:00
The Catch All Block 00:00:00
Adding Resources To Replit 00:00:00
The Finally Block 00:00:00
Section 10 - Saving The Results - Working With Files
Learning Objectives - Saving The Results - Working With Files 00:00:00
Adding Bad Data 00:00:00
Saving The Results - Working With Files 00:00:00
Binary File Modes 00:00:00
Text File Modes 00:00:00
The With Statement 00:00:00
Section 11 - Breaking Up Larger Programs, Part 1
Learning Objectives - Breaking Up Larger Programs, Part 1 00:00:00
About Replit.Config 00:00:00
Functions 00:00:00
Function Parameters 00:00:00
Local Versus Global Variables 00:00:00
Positional And Keyword Parameters 00:00:00
Return Statement 00:00:00
Working With JSON 00:00:00
Code Comments And Clear Code 00:00:00
Section 12 - Summarising And Presenting The Results
Learning Objectives - Summarising And Presenting The Results 00:00:00
Summarising And Presenting The Results Part 1 00:00:00
Cleaning The Data 00:00:00
Summarising And Presenting The Results Part 2 00:00:00
More Numeric Functions - Min, Max, Sum 00:00:00
Formatted Strings, F-Strings 00:00:00
Section 13 - Breaking Up Larger Programs, Part 2
Learning Objectives - Breaking Up Larger Programs, Part 2 00:00:00
Splitting Code Into Modules 00:00:00
Namespaces 00:00:00
Using Our Modules 00:00:00
Section 14 - Optional: Getting Set Up On PC Or Mac
Learning Objectives - Getting Set Up On A Pc Or Mac 00:00:00
Getting Set Up 00:00:00
Starting Python On Windows 10 00:00:00
Starting A Terminal Or Command Prompt On Windows 00:00:00
Installing Python On Windows 00:00:00
Installing Python On Macos 00:00:00
Quick Python Test - Running Python 00:00:00
Python Scripts And IDLE 00:00:00
Code Editors And IDES 00:00:00
Running Python Scripts 00:00:00

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