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.
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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Get Started with All Access PassBuy Only This CourseAbout 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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