
SOURCERY . AI {
}
Title:
How to set up a perfect Python project
Description:
Best practices for setting up a project to maintain the highest quality code
Website Age:
7 years and 5 months (reg. 2018-01-21).
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- Technology & Computing
- Education
- Mobile Technology & AI
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Website use Astro v5.5.5.
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What is the average monthly size of sourcery.ai audience?
π Small Traffic: 1k - 5k visitors per month
Based on our best estimate, this website will receive around 1,019 visitors per month in the current month.
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Subscription Packages {π³}
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Keywords {π}
run, code, pipenv, python, project, isort, mypy, install, black, pytest, commit, flake, issues, tests, types, git, hooks, time, pipx, file, system, tools, dont, static, type, precommit, stages, language, entry, automatically, bestpractices, imports, dev, typing, save, create, review, setupcfg, add, config, standard, def, test, coverage, production, dependencies, errors, follow, lets, directory,
Topics {βοΈ}
file save vim-test compile-time type checking test ignore_missing_imports=true install/uninstall packages git hook scripts pre-commit-config pipenv run mypy install pipenv trivial style nitpicks pipenv run flake8 excellent vim plugins test directory [mypy] files=best_practices pipenv takes care preβcommit git commit pytest] testpaths=test project directory save immense time run pytest coverage make programs easier minor issues introduced pre-push standard python conventions git push changed python files sourcery-ai/python produce deterministic builds huge confidence boost gained massive traction development dependencies git hooks instant feedback means identifying simple issues ale runs flake8 powerful type system pytest-cov simple python file happier coding experience perfect python project writing tests means adding/removing packages incompatible default options debugging static typing common errors forbidden ll override isort sort imports alphabetically find bugs earlier application code lives code review
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