Programming, Python

How to Test Your Python Code with Pytest

Simplify your testing process and enhance code quality with Pytest

Angelica Lo Duca
Towards Data Science
5 min readJun 1, 2023

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Are you tired of spending hours debugging your code and fixing errors that could have easily been prevented? We know how frustrating it can be to have code that doesn’t work correctly, especially when you’re under pressure to deliver results. But fear not! There’s a solution: Pytest.

Pytest is a robust testing framework that helps ensure your code works as expected, even under different scenarios and conditions. Integrating Pytest into your code allows you to identify and fix bugs before they become problems, saving you time and effort in the long run.

In this article, we’ll show you how to start with Pytest. From setting up your environment to writing tests that cover all your code, we’ve got you covered. So why wait? Let’s start testing and ensure your code works flawlessly every time.

We’ll cover:

  • An Overview of Pytest
  • A Practical Example

Let’s start by describing an overview of Pytest.

An Overview of Pytest

Pytest is a testing framework for Python that focuses on simplicity and ease of…

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Published in Towards Data Science

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Written by Angelica Lo Duca

Researcher | +1M Views | I write on Data Science, Python, Tutorials, and, occasionally, Web Applications | Author of Data Storytelling with Altair and AI

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