Conteúdo do Curso

Python Advanced Concepts

1. Mastering Python Modules and Imports

Python Project Structure: Organizing Code for Scalability Understanding Python Modules Importing Modules in Python: Best Practices for Code Reusability Exploring Python Libraries: Built-in and Third-Party Solutions Python Standard Library: Essential Modules for Everyday Tasks Managing Python Packages

2. Mastering Error Handling in Python

Fundamentals of Error Handling in Python: Preventing Code Crashes Raising Exceptions in Python: Triggering and Managing Errors Executing Code After Exceptions: Handling Cleanup Operations Using Assertions in Python: Debugging and Ensuring Code Integrity Best Practices for Exception Handling

3. Mastering File Handling in Python

Introduction to File Handling in Python Reading and Writing Files: Handling Text and Data Efficiently Advanced File Operations: Modifying and Managing File Content Working with File Paths in Python Using Context Managers for File Handling in Python Creating Custom Context Managers Handling Binary Files in Python

4. Mastering Pytest Framework

Introduction to Testing in Python Pytest Framework: Setting Up and Running Automated Tests Using the Assert Statement in Pytest: Validating Test Conditions Test Parametrization in Pytest: Running Tests with Multiple Inputs

5. Mastering Unittest Framework

Introduction to Unittest in Python: Writing Structured Unit Tests Using Assert Methods in Unittest: Validating Test Results SetUp and TearDown in Unittest: Managing Test Environments Mocking Techniques in Unittest: Simulating Dependencies Advanced Mocking in Unittest

6. Mastering Iterators and Generators in Python

Python Iterables: Understanding Sequences and Data Structures Understanding Iterators in Python Lazy Evaluation in Python: Optimizing Memory and Performance Introduction to Generators: Yielding Values for Efficient Iteration Practical Applications of Generators: Real-World Use Cases

Using Assert Methods in Unittest: Validating Test Results

The assert methods are part of the unittest.TestCase class and are used to check conditions in your tests. Simply put, each test method in the Test class concludes with a statement such as self.assert.

Commonly Used assert Methods

Method	Check	Example
assertEqual(a, b)	a == b	assertEqual(sum([1, 2, 3]), 6)
assertNotEqual(a, b)	a != b	assertNotEqual(1, 2)
assertTrue(x)	bool(x) is True	assertTrue(isinstance(123, int))
assertFalse(x)	bool(x) is False	assertFalse(isinstance("hello", int))
assertIs(a, b)	a is b	a = 1, b = a
assertIsNone(x)	x is None	book.price = None
assertIn(a, b)	a in b	assertIn(2, [1, 2, 3])
assertIsInstance(a, b)	isinstance(a, b)	assertIsInstance(123, int)

Also, assertRaises(Error, func, *args, **kwargs) is used to test that an error is raised. For example:

with self.assertRaises(ValueError):
    int("xyz")

This checks that converting "xyz" to integer raises ValueError.

Tudo estava claro?

Obrigado pelo seu feedback!

Seção 5. Capítulo 2

Pergunte à IA

Pergunte o que quiser ou experimente uma das perguntas sugeridas para iniciar nosso bate-papo