Python: Além do Intermediário

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Beginner

Nesta seção, você mergulhará nos fundamentos do Python, se familiarizará com seu ambiente de trabalho, lidará com operações matemáticas simples e exibirá seus resultados.

Aqui, você vai aprender a armazenar itens como números e texto na memória do computador, recuperando-os pelo nome. Você também terá uma noção de manipulação de texto em Python.

Aqui, você se aprofundará no tipo de dados booleano e descobrirá sua função na criação de programas que respondem a condições específicas.

Continuando com os tipos de dados, esta seção ensinará como agrupar atributos variados numa única variável utilizando listas, tuplas e dicionários.

Nesta parte, você vai dominar a arte de escrever loops em Python - construções essenciais para iterar sobre listas, tuplas, dicionários e até mesmo dataframes futuros.

Para terminar o nosso curso introdutório, vamos explorar algumas funções incorporadas e, em seguida, começar a criar as suas próprias funções!

You'll find this topic enjoyable, and you'll learn how to pack and unpack values in a single assignment.

Explore the power of Python's function arguments, *args, **kwargs, and learn how to effectively use functions as arguments.

Discover the higher-order functions and how functions can be passed as arguments to other functions in programming.

What is variable scope, and how did we manage without it before? This topic is essential for understanding the following subjects: Closures and Decorators. I assure you that this topic will be both enjoyable and practical. You will gain knowledge about local, nonlocal, and global variables.

This section provides an in-depth exploration of Python decorators, a powerful feature that allows for the modification and enhancement of function behavior. Participants will learn how to write their own decorators, understand built-in decorators, and apply decorators in practical scenarios.

This is a hands-on course that will help you understand the basics of object-oriented programming in Python. You will learn how to create classes, work with objects, use inheritance, and extend the capabilities of your programs.

If you find yourself frustrated with import statements, the difference between modules and libraries, or managing your Python project structure, this section is your key to clarity.

Want to debug your code effectively and understand the power of leveraging various errors? This section demystifies error handling in Python, showcasing why it’s crucial for developers to master these skills for robust applications.

Eager to automate file operations in your projects? This section delves into the essentials of file handling in Python, equipping you with the tools to read, write, and manage files efficiently for smoother, more powerful applications.

You will learn the ins and outs of testing with Pytest and the fundamentals of Test-Driven Development (TDD). This section guides you through creating robust tests that enhance your code's reliability and streamline your development process.

Master automation testing with Unittest. Learn how to cover various test cases effectively using setup, teardown, and mocking.