Python Tutorials

The webbrowser module in Python provides a simple interface to open web browsers, display HTML documents, and navigate the web. This practical lab will walk you through the basics of using the webbrowser package, from opening a URL in a new tab to executing a Google search directly from the Python console.

Itertools is a powerful Python module that provides a set of fast, memory-efficient, and flexible tools for working with iterators. These tools are handy for solving a variety of combinatorial problems and can save you time and effort when dealing with large data sets. In this tutorial, we'll explore some key functions of the Itertools module and provide examples to help you understand their use.

In this tutorial, we will explore the basic magic methods in Python. Magic methods, also known as 'dunder' methods (double underscore methods), allow you to define how Python objects behave in certain situations, enabling advanced and customized object manipulation.

In this tutorial, we will learn how to use Python's threading module to run multiple threads of execution concurrently.

In this tutorial, we will cover Python magic methods related to numeric operations. Magic methods are special methods in Python classes that start and end with double underscores (__). They are also known as 'dunder' methods (double underscores).

In this tutorial, we will cover the sequence magic methods in Python. These methods allow you to customize the behavior of your own classes when used in different operations, such as getting the length of an object, accessing items, slicing, and iteration.

Python multiprocessing is a powerful tool that can significantly speed up the execution of Python programs that require high processing power. In this lab, you will learn about Python multiprocessing and how to use it to run processes in parallel. We will start with simple examples and gradually move towards more complex ones.

In this tutorial, we will explore Python's built-in collections module. The collections module is a powerful library that offers a variety of container data types that extend the functionality of Python's built-in containers such as lists, tuples, and dictionaries.

In this tutorial, you will learn how to use the Python typing module to add type hints to your code. Type hints help make your code more readable and maintainable by explicitly indicating your functions' expected input and output types.

Python is a powerful and versatile programming language that is widely used for data analysis and statistical computing. It offers a variety of tools and libraries for working with data, including some libraries specifically designed for text analysis and natural language processing.

In this challenge, we will be tasked with finding all the clone soldiers in a clone army parade formation. The clone soldiers are uniquely identified by a number within a specific range, and they can be represented by a square matrix. Our goal is to count the number of clones for each ID and return the statistical result in a dictionary format. The solution should be implemented in the count_clone_soldier(matrix: List[List[str]]) method in the count_clone_soldier.py file.

This challenge is designed to test your skills in using Numpy's einsum function, which allows you to perform various operations on multi-dimensional arrays. The challenge consists of several sub-challenges that gradually increase in difficulty.

JSON (JavaScript Object Notation) is a popular data format for storing data in a serialized and human-readable form. It is commonly used for transmitting data between a server and a web application and is also a great choice for storing data in a NoSQL database. In Python, we can use the json module to work with JSON data.

In the previous lab we learned the basics of Python. In this lab we will learn the basic Python data types and how to convert between them.

This lab is designed to help you understand how to manipulate files and folders using Python. We will be using the os and glob modules, which provide a way to interact with the file system and perform common operations such as creating, deleting, and moving files and directories.

Code comments can help people understand what the code is for, and good commenting habits are essential for a good developer. In this lab, you can learn how to add comments to the Python language, and several common ways to comment.

Python virtual environment is a tool used to isolate different Python environments on a single machine. This is useful when working on projects that have different requirements, or when you want to avoid conflicting packages in your global Python environment.

Learn Python basics for interstellar communications in the LabEx Space Academy. Learn to use print() function, variables, and string formatting for cosmic messaging.