Cursusinhoud

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

SetUp and TearDown in Unittest: Managing Test Environments

The Four Phases of a Test:

SetUp: prepare the environment. This might involve creating objects in the database, configuring system states like starting services or setting up database connections;
Act: execute the function or methods to test;
Assert: check and verify the outcomes against expected results;
TearDown: clean up after each test. This ensures that any changes to the environment do not affect subsequent tests.

SetUp and tearDown are optional phases.

Implementing SetUp and TearDown

The setUp and tearDown methods in Unittest are instance methods called before and after each test method, respectively.

Let's consider a Book class with a custom __repr__ and sale methods.


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The next step, we'll define the test cases inside TestBook class.


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After the test_sale case passed, the number of books was reset to the original value for the test_book_repr because the setUp method runs before each test.

SetUp and tearDown at the method level ensure that each test runs in a clean environment, making tests predictable and independent.

Implementing SetUpClass and TearDownClass

These are class methods that run once for the whole class, at the beginning and end of the test suite.


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SetUp and tearDown at the class level reduce the overhead of preparing and cleaning up resources that are expensive to create and destroy.

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