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Python Programmer Bootcamp

Name: Python Programmer Bootcamp Course
Price: 36 USD

with Giles McMullen-Klein

Master Python and solve real-world problems with computational thinking

4.8

862 reviews on

Start for free

86,853 students already enrolled

Skill level:

Basic

Duration:

20 hours

Lessons (11 hours)

Practice exams (1.08 hours)

Projects (23 hours)

CPE credits:

16

CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

Take the Python Programmer Bootcamp to improve your coding proficiency.
Engage in practical challenges that boost your Python problem-solving skills.
Work with IDEs like Spyder and Jupyter.
Learn to create data visualizations using Python’s Matplotlib.
Master object-oriented programming and complete a capstone project.

Topics & tools

TheoryPythonProgrammingData Visualization

Your instructor

Giles McMullen-Klein

Python Educator | Content Creator at Python Programmer (YouTube) | AI & Data Science

Track record

Bringing real-world expertise from leading global companies

Academic background

Bachelor's degree, Physics

Media and recognition

Creator of Python Programmer YouTube channel, teaching worldwide
Reviews books, courses & resources for aspiring Python developers
Presents data science projects and practical coding tutorials

Ask Giles a question

Course overview

Accredited certificates

Course OVERVIEW

Description

CPE Credits: 16 Field of Study: Information Technology
Delivery Method: QAS Self Study

This Python course will not only take your programming skills to the next level, but also give you a problem-solving superpower! In it, you will develop a thorough understanding of Python and its programming capabilities, as well as hone your computational thinking. Moreover, you will learn how to implement object-oriented programming (OOP), create Python charts in Matplotlib, and work with different IDEs like Spyder and Jupyter. As you progress , you’ll get to practice your skills with fun and challenging exercises like solving the Sierpinski Triangle and the Towers of Hanoi. Your instructor, Giles McMullen-Klein, is an Oxford-educated programmer who made proficient use of Python during his time at the University. Not only that but he is motivating, enthusiastic, and truly passionate about the programming language he teaches!

Prerequisites

Python (any recent version, such as Python 3.8 or later) and Spyder IDE (included in the free Anaconda distribution)

Advanced preparation

None

Curriculum

128 lessons 79 exercises 2 projects 5 exams

1. Course Introduction

13 min

In this section, we look at what coding is and why it’s a useful skill to have. Coding is a superpower giving you the ability to complete tasks that would otherwise be impossible or very time-consuming. An understanding of how to code also helps your problem-solving skills. Coding is also a very sought after skill; one that is valued by employers. There are so many programming languages, we take a brief look at why that is and what the benefits are of choosing python.

13 min

In this section, we look at what coding is and why it’s a useful skill to have. Coding is a superpower giving you the ability to complete tasks that would otherwise be impossible or very time-consuming. An understanding of how to code also helps your problem-solving skills. Coding is also a very sought after skill; one that is valued by employers. There are so many programming languages, we take a brief look at why that is and what the benefits are of choosing python.

What does the course cover Free

Why code? Why Python? Free
2. Setting up the environment

10 min

Setting up Python can be one of the most challenging aspects of using it. There are so many different ways of installing it onto your computer and sometimes they can create conflicts that can be difficult to resolve. That’s why we’ve chosen to use Anaconda. It’s a simple installation, which we’ll walk through with you. You’ll have python up and running in a few minutes. Spyder is an IDE (integrated development environment) which is included with the Anaconda Python installation. IDEs are very useful when coding, as they put everything you need right at your fingertips. Here we show you the basics of Spyder.

10 min

Setting up Python can be one of the most challenging aspects of using it. There are so many different ways of installing it onto your computer and sometimes they can create conflicts that can be difficult to resolve. That’s why we’ve chosen to use Anaconda. It’s a simple installation, which we’ll walk through with you. You’ll have python up and running in a few minutes. Spyder is an IDE (integrated development environment) which is included with the Anaconda Python installation. IDEs are very useful when coding, as they put everything you need right at your fingertips. Here we show you the basics of Spyder.

Installing Python Free

Introducing Spyder Free

Exercise Free
3. Python basics + Hands-on Coding

11 min

It’s essential that you understand how the PRINT function works in Python. It’s what enables you to print output to the screen, it’s also useful when it comes to debugging - more on that later! Here you will receive a thorough grounding in how to use it.

11 min

It’s essential that you understand how the PRINT function works in Python. It’s what enables you to print output to the screen, it’s also useful when it comes to debugging - more on that later! Here you will receive a thorough grounding in how to use it.

PRINT function Free

Coding exercise Free
4. Variables and strings - Exercises

24 min

Variables are the building blocks of all programming languages. This section introduces them, explains what they are and why they’re so important. We will show you how they are used in python.

24 min

Variables are the building blocks of all programming languages. This section introduces them, explains what they are and why they’re so important. We will show you how they are used in python.

The solution Free

Variables Free

Exercise

Coding exercise

Strings

Coding exercise

Let's write a program

Question 1

Question 2

Question 3

Question 4

Question 5
5. Conditionals

44 min

If you want a computer to make decisions then you need to use conditionals. Conditionals enable computers to choose different outcomes based on the value of a variable. They are very powerful and key to being able to code in Python.

44 min

If you want a computer to make decisions then you need to use conditionals. Conditionals enable computers to choose different outcomes based on the value of a variable. They are very powerful and key to being able to code in Python.

Intro to conditionals

Exercise

Logical operators

Not TRUE is FALSE

Exercise

IF statement

Exercise

Coding exercise

Coding exercise

More on strings

Coding exercise

More strings!

Exercise

Practice challenge

Practice exam
6. For Loops

63 min

Computers are very good at doing repetitive tasks. The for loop is one way of controlling how this is done. It allows you to request the computer to repeat blocks of code. In this section, you will learn how to use the for loop and just how handy it can be. We then look at the other type of loop - the while loop. In this section, we also take a look at a python data type called a list. We explore how, why and when to use it.

63 min

Computers are very good at doing repetitive tasks. The for loop is one way of controlling how this is done. It allows you to request the computer to repeat blocks of code. In this section, you will learn how to use the for loop and just how handy it can be. We then look at the other type of loop - the while loop. In this section, we also take a look at a python data type called a list. We explore how, why and when to use it.

Intro to For loops

Exercise

Coding exercise

A little more on variables

Exercise

Lists

Exercise

Coding exercise

The power of lists and loops and working together

Coding exercise

Some list methods

Coding exercise

While loops

Coding exercise

Modulus

Exercise

Coding exercise

Practical challenge
7. Dictionaries

48 min

Another Python data type. It’s essential to understand what a dictionary is and how to use it. They are widely used in data applications. We explore their uses and some applications in this section. We also cover modules, which give python a whole new set of features. You will learn how to import and use modules and we will introduce you to the counters module: very powerful but often overlooked. You will be introduced to the tuple, another data type and we will cover the zip function too.

48 min

Another Python data type. It’s essential to understand what a dictionary is and how to use it. They are widely used in data applications. We explore their uses and some applications in this section. We also cover modules, which give python a whole new set of features. You will learn how to import and use modules and we will introduce you to the counters module: very powerful but often overlooked. You will be introduced to the tuple, another data type and we will cover the zip function too.

Modules

Dictionaries

Exercise

Coding exercise

Zip function

Exercise

Coding exercise

More string methods

Coding exercise

Tuples

More than 1 dimension

Coding exercise

Import counters (Part I)

Coding exercise

Import counters (Part II)

Practice exam
8. Files and Functions

32 min

Python can handle files. It can open files, read files, write to files and manipulate the content of files. In this section, we will introduce you to some of the more common file handling methods in python. We also take a closer look at functions. We also cover a very important topic in computer science: recursion.

32 min

Python can handle files. It can open files, read files, write to files and manipulate the content of files. In this section, we will introduce you to some of the more common file handling methods in python. We also take a closer look at functions. We also cover a very important topic in computer science: recursion.

Files and functions

Coding exercise

Appending to a file

Coding exercise

More on functions

Exercise

Coding exercise

Fibonacci in a function

Coding exercise

Recursion

Exercise

Coding exercise
9. Classes

27 min

Classes and objects: what’s the difference and why does it matter? You will find out in this section. Everything in Python is an object, we will show you what this means and how it can help you to write better code. You will learn how to create your own objects, the difference between a method and a function and we will introduce the concept of inheritance.

27 min

Classes and objects: what’s the difference and why does it matter? You will find out in this section. Everything in Python is an object, we will show you what this means and how it can help you to write better code. You will learn how to create your own objects, the difference between a method and a function and we will introduce the concept of inheritance.

Objects

Class

__Init__

Coding exercise

Class variables

Coding exercise

Methods

Coding exercise

Coding exercise

Inheritance

Exercise

Coding exercise

Practical exercise 1

Practical exercise 2

Practice exam
10. General Tips

7 min

We have covered a lot of ground, in this section, we take a look at the bigger picture. You will receive general advice on how to become a better Python programmer.

7 min

We have covered a lot of ground, in this section, we take a look at the bigger picture. You will receive general advice on how to become a better Python programmer.

General tips
11. Big O

16 min

How long will your algorithm take to run? How does it scale as the amount of data you process increases? These questions can be answered by considering Big O. We will explain what it is and how it is applied to algorithms in this section.

16 min

How long will your algorithm take to run? How does it scale as the amount of data you process increases? These questions can be answered by considering Big O. We will explain what it is and how it is applied to algorithms in this section.

_Big_O

Coding exercise

O(n)

Coding exercise

O(n²)

Coding exercise

O(n!)

Coding exercise

Summary

Exercise
12. Advanced Python: Caesar two sum

38 min

In this section, we consider two well-known computer science problems and work through their solution with Python.

38 min

In this section, we consider two well-known computer science problems and work through their solution with Python.

Intro

Caesar cipher

Jupyter notebook intro

Caesar cipher solution

Coding exercise

Two sum

Two sum solution

Coding exercise

Card class

Playing card class

Playing card class solution

Coding exercise

Encryption and Decryption in Python Project
13. Advanced Python: Matplotlib

30 min

Python is so versatile, there are very few things you can’t do with it. One of its many strengths is data visualization. Matplotlib is a well-known data visualization module in python. We introduce you to it in this section and work through some interesting examples.

30 min

Python is so versatile, there are very few things you can’t do with it. One of its many strengths is data visualization. Matplotlib is a well-known data visualization module in python. We introduce you to it in this section and work through some interesting examples.

Matplotlib

Exercise

Random walk explanation

Simulating a random walk

Sierpinski triangle

Creating the triangle in Matplotlib

Python imaging library
14. Advanced Python: Stacks

40 min

Data can be stored in various different ways, known as data structures. In this section, we will show you a very important data structure known as a stack. We explore what it is, how it’s used and how it can help us to solve problems, such as the famous computer science problem called ‘The Towers of Hanoi’.

40 min

Data can be stored in various different ways, known as data structures. In this section, we will show you a very important data structure known as a stack. We explore what it is, how it’s used and how it can help us to solve problems, such as the famous computer science problem called ‘The Towers of Hanoi’.

Intro to stacks

Coding a stack in Python

Practical challenge - stacks

Exercise

Hint on solving the challenge

Solving the stacks challenge

Coding exercise

Towers of Hanoi

Some hints

Code for Tower of Hanoi

Coding exercise

Enumerate sets & none

Coding exercise
15. Search and sort

27 min

Two of the most important tasks for computers are searching and sorting. So much work has been done on how to optimize these tasks. In this section, we introduce you to the challenges they pose. We cover some famous searching and sorting algorithms.

27 min

Two of the most important tasks for computers are searching and sorting. So much work has been done on how to optimize these tasks. In this section, we introduce you to the challenges they pose. We cover some famous searching and sorting algorithms.

Intro to search and sort

Linear search

Coding exercise

Binary search

Exercise

Coding exercise

Insertion sort

Exercise

Coding exercise

Practice exam
16. Advanced Python: Cards and Coins

14 min

In this section, we put our python skills to use to solve some problems. We will make a credit card number validator using Luhn’s algorithm and we will write some python code to solve a famous maths puzzle.

14 min

In this section, we put our python skills to use to solve some problems. We will make a credit card number validator using Luhn’s algorithm and we will write some python code to solve a famous maths puzzle.

Intro to cards and coins

Luhn's algorithm

Coding exercise

Coins

Coding exercise

Coins - Python code
17. Advanced Python: Debugging

20 min

When you write code, it will contain mistakes! It’s unavoidable. Debugging is the process of going through your code, finding the mistakes and correcting them. We will teach you that process in this section. You will also be introduced to python’s module for using regular expressions: Regex.

20 min

When you write code, it will contain mistakes! It’s unavoidable. Debugging is the process of going through your code, finding the mistakes and correcting them. We will teach you that process in this section. You will also be introduced to python’s module for using regular expressions: Regex.

Debugging

Beyond the PRINT function

Exercise

Debugging in Spyder
18. Advanced Python: Strings and Expressions

24 min

In this section we dig deeper into strings. It is not mandatory to go through them, but such advanced topics are always the most interesting. We explore how to format numbers in specific ways and get familiar with regular expressions.

24 min

In this section we dig deeper into strings. It is not mandatory to go through them, but such advanced topics are always the most interesting. We explore how to format numbers in specific ways and get familiar with regular expressions.

A little more on strings

Exercise

Coding exercise

Regular expressions

Coding exercise

Coding exercise

More regular expressions

Coding exercise

Coding exercise

Coding exercise

Type hints
19. Capstone project - Computer Vision

29 min

Working through problems in Python could also be quite a challenging task. However, Python allows us to work on very complicated computational problems even with a limited programming knowledge. In this capstone project we simulate a real-world situation where we are asked to solve an extremely challenging problem, in order to build our research skills.

29 min

Working through problems in Python could also be quite a challenging task. However, Python allows us to work on very complicated computational problems even with a limited programming knowledge. In this capstone project we simulate a real-world situation where we are asked to solve an extremely challenging problem, in order to build our research skills.

Introduction to the project

Coin photographs

Introducing OpenCV

Starting to work with Visual Studio

Hough circle transform

Get circle radii

Get brightness values

Performning coin classification

Closing remarks
20. Further Exercises

1 min

Here you will find some additional exercises that will help you reinforce what you have learned in the lessons. Hope you enjoy them!

1 min

Here you will find some additional exercises that will help you reinforce what you have learned in the lessons. Hope you enjoy them!

Further exrecises
21. Installing Python and Using Virtual Environments on Windows and Unix

69 min

In this section, we will learn how to install Python using virtual environments. That will enable you to set different sorts of sandbox versions of Python on your machine to avoid potential conflicts between different Python versions.

69 min

In this section, we will learn how to install Python using virtual environments. That will enable you to set different sorts of sandbox versions of Python on your machine to avoid potential conflicts between different Python versions.

Introduction

Downloading Python

Setting up the virtual environment

Sharing a project - requirements file

Downloading and Installing Virtual Box & Setting up a Virtual Machine

Installing Ubuntu on the Virtual Machine

Setting up a virtual environment on Ubuntu

Introduction to the command line

Handling files on in the command line

Copying, moving and deleting files on the command line

Echo, environment variables and path

Section summary
22. PyCharm

29 min

This section introduces another highly functional IDE - PyCharm. Using PyCharm not only helps your Python programming, but familiarity with it is a common prerequisite for a career in data science.

29 min

This section introduces another highly functional IDE - PyCharm. Using PyCharm not only helps your Python programming, but familiarity with it is a common prerequisite for a career in data science.

Introduction and installing PyCharm

Exercise

Setting up PyCharm

Using PyCharm to write code

PyCharm and Git
23. Exception handling in Python

25 min

Exception handling is one of the Python features that allow you to anticipate errors in your code and deal with them in advance. Although learning how to handle exceptions may seem challenging at first, it will prove to be an indispensable tool in your Python programming arsenal.

25 min

Exception handling is one of the Python features that allow you to anticipate errors in your code and deal with them in advance. Although learning how to handle exceptions may seem challenging at first, it will prove to be an indispensable tool in your Python programming arsenal.

Exception handling - Introduction

Setting the scene

How Python handles errors

Coding exercise

The block stops running as soon as the exception is encountered

When to use tryblock

Exception handling - Conclusion
24. Farewell

7 min

Some parting words of encouragement and a sincere thank you!

7 min

Some parting words of encouragement and a sincere thank you!

Farewell
25. Course project and exam

1030 min

1030 min

Building Conway's Game of Life in Python Project

Course exam

Free lessons

1.1 What does the course cover

3 min

1.2 Why code? Why Python?

10 min

2.1 Installing Python

3 min

2.2 Introducing Spyder

7 min

3.1 PRINT function

11 min

4.1 The solution

2 min

Start for free

I was kinda lost with all the data stuff, but 365 Data Science really made it click. The structured learning path, clear explanations, and especially the hands-on projects were game-changers. I didn’t just learn theory—I actually applied it and built a portfolio that helped me land a data analyst job. Now I use Python, SQL, Excel, and data viz skills every day. I’m way more confident. Before I was guessing—now I know what I’m doing.

Siriwat N.

Before 365: Engineering student

After 365: Data Analyst & Process Improvement | CJ MORE

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4.8

Based on 862 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

Great course! Which really reveals the misunderstanding and confusion between many concepts. Also, it explains topic gradually step by step.

Tareq S.

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9 in 10

of our graduates landed a new AI & data job

after enrollment

In 2023, I decided to rewrite my story—leaving accounting to become a freelance Data and Business Analyst. At first, I was completely lost, until a friend recommended 365 Data Science. The structured learning paths, real-world projects, and clear explanations transformed my skills and confidence. Within six months, I mastered Python, built interactive dashboards, and landed five clients across four countries. 365 didn’t just teach me—it reshaped my career and sparked my curiosity for AI.