Python from Zero to Hero

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Beginner

In this section, you'll dive into the basics of Python, familiarize yourself with your workspace, tackle simple math operations, and display your results.

Here, you'll learn how to store items like numbers and text in computer memory, recalling them by name. You'll also get a taste of text manipulation in Python.

Here, you'll delve into the boolean data type and discover its role in creating programs that respond to specific conditions.

Continuing with data types, this section will teach you how to group varied attributes within a single variable using lists, tuples, and the dictionaries.

In this part, you'll master the art of writing loops in Python – essential constructs for iterating over lists, tuples, dictionaries, and even future dataframes.

To wrap up our introductory course, you'll explore some built-in functions and then embark on creating your very own!

Numeric data types are crucial in Python, so it is important to start with them. Here you will work with simple math operations and find out the purposes of learning different types of numerical data.

The main goal of this section is to clarify the boolean data types; it's a sub type of numeric data, but indeed it is more challenging. Since it is always better to excel in the more difficult topics, this section is a valuable part of your curriculum.

Strings are a way for us to implement your phrases in Python, that is, to give instructions to users who are the target audience of your program. Indeed, it is always better to be able to work with strings because they should be used in your code. You'll understand why soon.

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.

What is a list? A list is an ordered collection that can be modified. It also allows for duplicate elements.

What is a dictionary? A dictionary is an ordered collection that can be changed, but it doesn't allow duplicate entries. It consists of `key:value` pairs, which are used to optimize its structure.

What is a tuple? A tuple is an ordered collection that cannot be altered. It can have duplicate elements. While it's similar to a list, the values in a tuple can be of any type and are indexed by integers. Although not mandatory, it's common to enclose the values of a tuple in parentheses, making them easier to understand in Python.

What is a set? In Python, a `set` is an unordered collection that is both `iterable` and `mutable`, with no repeated elements. While the order of items in a set isn't fixed, it can include a variety of elements. A key benefit of using sets over lists is their highly efficient method for determining if an element exists within the set.

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In this captivating course, you'll unravel the mysteries of the versatile conditional operator "if," discovering its power to shape outcomes. Dive deeper into the world of logical operators, mastering their artful application and uncovering the secrets of prioritizing their use effectively.

In this section, we are introduced to a more advanced form of the conditional operator - if-else. We will also learn what nested if-else statements are and practice on tasks.

In addition, we will learn about the most advanced form of the conditional operator if-elif-else, get acquainted with the syntax of this construction and how it is applied correctly.

Unlock the efficiency of one-liner decisions with the ternary operator! This coding gem, popular in Pythonic style, lets you streamline your choices in a single line, making your code both concise and elegant.

We start learning Python loops with the for loop. A for loop is used for iterating over a sequence. Let's go!

With the while loop, we can execute a set of statements as long as a condition is true. We are going to work with this loop and handle different problems!

A nested loop is a loop inside a loop. Sound difficult? Don't worry! We will handle this loop!

Now we will consider what a function in Python and some basic techniques used to create functions is: what are the arguments of the function, what is the return value of the function, what is the body of the function, and how to use the function in the code.

Python is a fairly flexible language in terms of creating functions. This is especially true in setting function arguments - there are several different types of function arguments, and you can choose any of them depending on the problem you are solving. Let's now take a closer look at them.

This section of the Python course covers `*args` and `**kwargs`, which allow you to handle variable numbers of positional and keyword arguments in functions. `*args` lets you pass any number of positional arguments, making functions more flexible. `**kwargs` allows you to pass any number of keyword arguments as a dictionary, which facilitates handling complex data structures efficiently.

The return value of a function is the direct result of the execution of the function, which we can use in the program. There are several types of function return values - now we will consider the most commonly used.

Now it's time to consider additional topics to help make your functions more flexible and solve more complicated tasks. You will understand recursion, lambda functions, and some basics principles of writing effective and maintainable functions.