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4 Tools to Add to Your Python Project Before Shipping to Production

In this post, I’ll show you 4 tools I set up in my Python projects in order to streamline the development workflow and enforce some best practices.

These tools helped me gain efficiency and save time and I hope they’ll do the same for you after reading these notes.

Let’s have a look 👇.

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1 — Poetry

When I start a new project, I usually use Poetry to manage the dependencies and create a fresh virtual environment.

This is useful primarily when different projects rely on different versions of the same package.

Poetry is an excellent tool because it’s fast at resolving dependencies. It’s also easy to use through a user-friendly CLI and helps in quickly packaging and distributing your code.

Here’s how to start a new project with Poetry: poetry init

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