Modern Python Projects Transcripts
Chapter: Managing Python project
Lecture: Python project chores
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Working on a Python project involves a lot of different activities. First, you need to create a virtual environment,
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and you need to remember to actually activate it. So, you don't accidentally install pip packages globally on your computer.
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Then you need to manage your requirements, files and pin all your dependencies. You also need to remember to regularly update those dependencies,
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but at the same time, need to make sure that you use the exact same versions of packages both on your local computer and on the production server.
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So, for that you install a tool like pip tools to pin your dependencies and then you run pip to, install them.
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So far, so good. But if by any chance you're creating a Python package that you're planning to publish on pypi,
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then there is a bunch of other tasks that you need to take care of. You need to create a setup.py file.
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You need to build your package and send it to the pypi server and all that requires you to remember another set of commands.
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It would be nice to have one tool, that can do all those tasks for us
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thought some Python programmers and so many different tools were actually created. But two of them gained the most popularity pipenv and poetry.