Welcome to Pyversity's CI/CD Unit Testing Project! This repository demonstrates how to write clean, testable Python code, adhere to modern CI/CD practices, and ensure high-quality standar 586C ds using tools like Ruff, pylint, and unittest.
🚀 Project Overview
This project focuses on:
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Writing unit tests for Python functions.
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Passing all Continuous Integration (CI) checks.
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Adopting best practices for linting, formatting, and code quality assurance.
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Managing branches effectively using Git.
The goal is to demonstrate robust development workflows suitable for professional-grade Python projects.
🧑💻 Technologies Used
Python: 100% of the codebase.
Our Approach-
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Code Quality: Automated checks enforce clean and consistent code.
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Early Bug Detection: CI pipeline identifies issues before merging code.
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Team Collaboration: Standardized practices make it easier for teams to collaborate.
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Faster Development: Automating testing and formatting saves time during reviews.