Let's make our first steps in Python

Learn some Python syntax basics

Learn about comments in Python and how to use them to structure and describe our code.

In this lesson you will learn how to do mathematical operations using arithmetic operators in Python.

In this lesson you will learn about the floor division and the modulo operator in Python.

Learn about Assignment Operators in Python.

In this lesson you will learn how to work with text data in Python. You will create your first Python strings and attach one string with another.

In this lesson you will how to extract specific parts of a string using indexes and string slicing.

In this lesson, you will learn methods to locate and find specific sub_strings within a string and manipulate strings.

In this lesson you will learn what Booleans are. We will also talk about data types and the built-in type function.

Learn how to compare different values with each other and understand how Booleans indicate the result of these comparisons.

Discover how logical operators allow you to combine and evaluate boolean values, influencing the flow of your program based on the outcome of these logical conditions.

In this lecture, you'll learn how to use Python conditional statements to make decisions and control the flow of your programs.

In this lesson, we will build on our understanding of the if statement by introducing the elif and else statements to handle multiple conditions and create more complex decision-making logic in Python.

Functions are reusable blocks of code that perform specific tasks. In this lesson, you will learn how to define simple functions and how to use them.

Learn how to make your Python functions more flexible and powerful by using parameters to pass data.

Lists are ordered collections of items that can store elements of different data types. In this lesson, you will learn how to create lists, how to access elements within a list, and how to get some information about the contents of a list.

In this lesson, you will learn about various methods for updating lists and understand the concept of list mutability.

In this lesson, you will learn about tuples. You will understand their differences from lists, and explore typical use cases.

Learn the principles of for-loops in Python, understanding how to repeatedly execute a specific task and iterate over sequences of data.

Learn how to control the flow of a loop using the break and continue statements. We will also explore the concept of nesting loops for more complex iterations.

In this lesson, you will get to know while-loops, the second type of loop in Python. While-loops continuously execute a block of code as long as a certain condition is true.

In this lesson, you will learn about dictionaries, a data structure in Python used to efficiently organize data with key-value pairs. You'll discover how to create dictionaries, as well as how to access and update stored data.

Learn how to use the `len` function and `in` keyword with dictionaries. Also, discover how to organize complex hierarchical data structures using nested dictionaries.

In this lesson, you will learn how to modify existing dictionaries by updating, adding, and deleting key-value pairs.

In this Python lesson, you'll explore object views, dynamic representations of a dictionary's keys, values, or items, and learn how to use them to iterate over dictionaries.

Learn how to use escape characters in Python to insert special characters like newlines, tabs, and quotes into strings.

In this tutorial, we will explore the Python string method str.split() which is used to split a string into multiple smaller strings.

In this lesson, you’ll learn how to insert values, variables, or expressions directly into a string using f-strings.

In this lesson, you will learn how you can format numeric values with f-strings.

In this lesson, you'll learn how to assign multiple variables at once using unpacking. We'll demonstrate how you can extract values from various iterables like strings and lists and assign these values to multiple variables.

When unpacking values from an iterable, you might want to extract only certain values and ignore others or you might want to capture and combine a subset of the values. In this lesson, you'll learn to do so using the _ placeholder and the * operator.

In this lesson, you'll learn about about the concept of global and local scopes, how to access and modify global variables inside a function, and how to use the global keyword in Python.

Learn how to create and correctly call nested/inner functions.

Learn about the enclosing scope, which allows nested functions to access variables defined in their outer (enclosing) function.

Learn how to return functions from other functions and use this technique to create closures. Discover what closures are and how they can be used to create function factories and a kind of 'protected memory'.

This tutorial recaps what we've learned about Python iterables, such as strings and lists. We'll use built-in functions like min(), max(), and sum() to extract information from these iterables.

This tutorial explores list comprehension in Python—a concise way to create lists from iterables. We’ll cover the basic syntax, usage, and show how list comprehension can often replace traditional for-loops.

This tutorial explores lambda functions in Python, covering their syntax, usage, and advantages over traditional function definitions.

In this tutorial, you'll learn about higher order functions in Python, including how to use them with lambda functions and the built-in map function. Discover how these concepts can simplify your code and make it more efficient.

In this lesson, we will discuss the NumPy library, its significance in Python data analysis, and how to create your first NumPy arrays.

In this tutorial, you will learn how to use NumPy to work with multidimensional data structures.

In this tutorial, you will learn how to change the values of NumPy array elements and to filter and conditionally update values using Boolean Indexing.

In this tutorial, you will learn more methods for creating NumPy arrays.

In this lesson, we will create our first basic plots using the matplotlib library.

In this lesson, you will learn how to change the appearance of the plot lines.

In this lesson, you will learn how to modify different aspects of your plot, such as adding a grid or customizing the ticks along the axes.

In this lesson, you will learn how to represent different data series as lines on the same graph, allowing for easy comparison and analysis.

In this lesson, you will learn about a new type of graph: scatter plots. You will discover how to create these plots, understand their use cases, and see how they differ from line graphs.

In this lesson, we will talk about another important data science library: pandas. You will learn what this library is used for and make your first steps by importing and displaying data frames.

In this lesson, you will learn how to filter rows of a pandas DataFrame based on specific conditions.

In this lesson, you will learn how to get helpful statistical information about pandas datasets, such as the mean, maximum, and standard deviation. This will help you better understand your data and facilitate further data analysis.