The Complete Python Course | Learn Python by Doing in 2024

Installing all required software at the start of the course can be quite boring. Instead, in this course we'll dive right into Python by using a great cloud environment where you can type and run your Python code.

An added bonus is that you can always share your code with the instructor team and we can very easily help you out if you have doubts or encounter any problems.

Let's start the course by talking about one of the fundamental types of data in Python: numbers. We can have whole numbers (known as integers) and also numbers with decimal places (known as floats).

In this lecture we also talk about how to communicate with the user by printing things out.

Review what we've just learned!

Practice what you've just learned about numbers and printing things out to the user in Python in this quiz. There's just a couple questions—I'm sure you can do it!

This short article provides a solution to the coding exercise, just so you can double-check your code against it!

In this lecture we talk about strings in Python. Strings are just collections of characters, numbers, and symbols. We also talk about how to use existing variable in strings to make them more dynamic.

String formatting questions to review what you've learned!

In this lecture we talk about how to get the user to give us data. Programming is all about taking data and transforming it. We now know how to tell the user things, we must get the user give us things!

Double-check what you've learned about strings, string formatting, and user input with this quiz.

In this lecture we look at True and False values in Python. These are very important, because they allow our programs to make decisions.

Recap what we just covered on booleans and comparisons in this short quiz!

In this lecture look at how we can store multiple values in the same variable, by using built-in structures like the list, tuple, or set. These are all different and can be used in different scenarios.

Sets in particular can be extremely powerful. In Python, we can use sets to calculate elements that match in two collections and also to perform other, related operations.

Practice your knowledge of lists, tuples, and sets in this quiz covering Python fundamentals and set operations.

The Python dictionary is one of the most useful structures in the language. It allows us to map values to keys—for example, "name" to "Rolf". With dictionaries, we can make our programs start talking about things as opposed to just pieces of data!

Dictionaries are extremely important in Python. Review what you've learned in this short quiz!

In this lecture we look at how to calculate the length and the total sum of elements in a list, tuple, or dictionary in Python.

In this lecture we talk about if statements. If statements are Python constructs which, given a True or False value, can change the flow of our programs.

In this lecture we look at while loops. The while loop is a type of construct which allows our programs to repeat a certain block of code for as long as a conditional is True.

In this lecture we talk about the for loop, as well as the range() function and a brief aside on tuple destructuring. The for loop is great for doing something with each item of a collection, such as a list.

In this lecture we talk about two parts of the Python syntax which we can use inside loops: break and continue. These can be used to exit out of a loop early in two different ways.

Review your knowledge of loops, both while and for, in this quiz with some code questions!

In this lecture we talk about list slicing. You can create list slices from existing lists, just by providing a range of indices that you want your new list to contain.

In this lecture we talk about list comprehension. List comprehension creates a new list from an existing list, but we have the opportunity of choosing what elements to include. In addition, we can perform transformations on new elements.

In this lecture we look briefly at using comprehensions in other data structures, like sets and dictionaries.

Review your knowledge of list comprehension and slicing in Python with these code questions.

In this lecture we take a look at functions in Python.

In this lecture we investigate how to make our functions give back values so that the caller of the function can use them. This is a key pillar of programming!

Review your knowledge of functions in Python with these code questions.

In this lecture we look at lambda functions in Python. These are used to get inputs, and succinctly process them before returning them.

Recap of the more advanced functions in Python with code questions about lambda functions and first-class functions.

In this brief lecture we look at installing Python in your computer. It's very simple, just download the installer and go through it. Windows users need to make sure to select specific settings, however.

In this lecture we look at installing PyCharm. Again a simple process! PyCharm allows us to write and run Python code easily.

In this video we create our first PyCharm project!

A short aside from the main content of the course; just a quick video on changing PyCharm's settings to suit you.

This lecture introduces object-oriented programming! Objects allow our programs to start talking about real-world things in a better context.

Learn more about classes and objects in this lecture. What is self? What is it used for?

A quick article lecture on what built-in functions are, a few more examples, and where you can read more about them.

Recap your knowledge of object-oriented programming with these code questions!

This brief interlude talks about how to name your parameters in Python programs.

In this lecture we talk about some magic methods in Python, like what __init__ and __repr__ are for.

In this lecture we talk about inheritance, and in which situations it can be handy. When we do inheritance, a class takes absolutely everything from another one—but then we can change anything we want in the new class!

A slightly more advanced concept, in this video we briefly look at accessing a method as property using the @property decorator. Decorators though, will be covered in length later on!

Let's review some more advanced object-oriented programming concepts, such as inheritance and magic methods, in this quiz!

In this lecture we talk about the purpose of the @classmethod and @staticmethod decorators.

Because @classmethod and @staticmethod can be a bit confusing, here's a few more examples of them in use!

@classmethod and @staticmethod can be quite confusing, particularly at the start. Let's review them in this quiz.