{"id":963,"date":"2024-07-28T20:10:36","date_gmt":"2024-07-28T14:40:36","guid":{"rendered":"https:\/\/www.mrcoder701.com\/?p=963"},"modified":"2024-07-28T20:10:37","modified_gmt":"2024-07-28T14:40:37","slug":"8-backend-repos-used-by-the-top-1-of-python-devs","status":"publish","type":"post","link":"https:\/\/www.mrcoder701.com\/2024\/07\/28\/8-backend-repos-used-by-the-top-1-of-python-devs\/","title":{"rendered":"8 backend repos used by the top 1% of python devs\u00a0"},"content":{"rendered":"

Introduction<\/h3>

Hey there! Ready to take your Python game to the next level? Today we are going to go over 8 Python repos developers in the top 1% swear by. You may not have had these gems on your radar, but they could be the missing link in your toolkit. So let’s explore these cool resources and see how it can help you build some strong backend projects.<\/p>

How We Discovered These Repos <\/h3>

At Quira, we have built a unique ranking system for developers called DevRank<\/a> that is modeled after the Google PageRank algorithm. It aids in discovering hidden gems from the starred repositories of the top 1% of developers and measures their impact on the open-source community. Using stars as a metric isn’t perfect, but it’s definitely a great pointer to what the top developers are doing. So let’s dive right into our 8 chosen essential Python repositories!<\/p>

\n <\/path>\n<\/svg><\/div><\/div>

1. aio-libs\/yarl<\/a><\/h1>

Why You Should Care:<\/strong> Yarl is a powerful URL library, which is mostly handy, designed to be easy and efficient for URL management in Python. This allows the manipulation, parsing, and creation of URLs; in that case, it really becomes an essential tool for web developers.<\/p>

Installation:<\/strong> pip install yarl<\/code><\/p>

Example Use Case:<\/strong><\/p>

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from<\/span> yarl <\/span>import<\/span> <\/span>URL<\/span><\/span>\n<\/span>\nurl <\/span>=<\/span> URL(<\/span>'<\/span>https:\/\/www.python.org\/~guido?arg=1#frag<\/span>'<\/span>)<\/span><\/span>\n<\/span>\nprint<\/span>(url.scheme)       <\/span># 'https'<\/span><\/span>\nprint<\/span>(url.host)         <\/span># 'www.python.org'<\/span><\/span>\nprint<\/span>(url.path)         <\/span># '\/~guido'<\/span><\/span>\nprint<\/span>(url.query_string) <\/span># 'arg=1'<\/span><\/span>\nprint<\/span>(url.query)        <\/span># <MultiDictProxy('arg': '1')><\/span><\/span>\nprint<\/span>(url.fragment)     <\/span># 'frag'<\/span><\/span>\n<\/span><\/code><\/pre><\/div>
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2. Suor\/django-cacheops<\/a><\/h1>

Why You Should Care:<\/strong> Django-cacheops enhances your Django application’s performance by using Redis for advanced caching. It offers automatic query caching, event-based caching, and more.<\/p>

Installation:<\/strong> pip install django-cacheops<\/code><\/p>

Example Use Case:<\/strong><\/p>

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from<\/span> cacheops <\/span>import<\/span> cached_as<\/span><\/span>\nfrom<\/span> myapp.models <\/span>import<\/span> Article<\/span><\/span>\n<\/span>\n@cached_as<\/span>(Article, <\/span>timeout<\/span>=<\/span>120<\/span>)<\/span><\/span>\ndef<\/span> <\/span>article_stats<\/span>():<\/span><\/span>\n    <\/span>return<\/span> {<\/span><\/span>\n        <\/span>'<\/span>tags<\/span>'<\/span>: <\/span>list<\/span>(Article.objects.values(<\/span>'<\/span>tag<\/span>'<\/span>).annotate(Count(<\/span>'<\/span>id<\/span>'<\/span>))),<\/span><\/span>\n        <\/span>'<\/span>categories<\/span>'<\/span>: <\/span>list<\/span>(Article.objects.values(<\/span>'<\/span>category<\/span>'<\/span>).annotate(Count(<\/span>'<\/span>id<\/span>'<\/span>)))<\/span><\/span>\n    }<\/span><\/span>\n<\/span><\/code><\/pre><\/div>
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3. samuelcolvin\/watchfiles<\/a><\/h1>

Why You Should Care:<\/strong> Watchfiles automatically reloads your code when changes are detected, saving you from restarting your server manually. It’s a great productivity booster!<\/p>

Installation:<\/strong> pip install watchfiles<\/code><\/p>

Example Use Case:<\/strong><\/p>

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from<\/span> watchfiles <\/span>import<\/span> watch<\/span><\/span>\n<\/span>\nfor<\/span> changes <\/span>in<\/span> watch(<\/span>'<\/span>.\/path\/to\/dir<\/span>'<\/span>):<\/span><\/span>\n    <\/span>print<\/span>(changes)<\/span><\/span><\/code><\/pre><\/div>
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4. FactoryBoy\/factory_boy<\/a><\/h1>

Why You Should Care:<\/strong> Factory_boy helps you generate fake but realistic data for testing your applications, streamlining your testing process and ensuring comprehensive coverage.<\/p>

Installation:<\/strong> pip install factory_boy<\/code><\/p>

Example Use Case:<\/strong><\/p>

<\/circle><\/circle><\/circle><\/g><\/svg><\/span><\/path><\/path><\/svg><\/span>
from<\/span> factory <\/span>import<\/span> Factory<\/span><\/span>\nfrom<\/span> myapp.models <\/span>import<\/span> Order<\/span><\/span>\n<\/span>\nclass<\/span> <\/span>OrderFactory<\/span>(<\/span>Factory<\/span>):<\/span><\/span>\n    <\/span>class<\/span> <\/span>Meta<\/span>:<\/span><\/span>\n        model <\/span>=<\/span> Order<\/span><\/span>\n<\/span>\norder <\/span>=<\/span> OrderFactory(<\/span>amount<\/span>=<\/span>200<\/span>, <\/span>status<\/span>=<\/span>'<\/span>PAID<\/span>'<\/span>)<\/span><\/span><\/code><\/pre><\/div>
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5. hugapi\/hug<\/a><\/h1>

Why You Should Care:<\/strong> Hug makes developing APIs in Python simple and intuitive. It’s designed for fast, clean, and self-documenting code, making it a great choice for API development.<\/p>

Installation:<\/strong> pip3 install hug --upgrade<\/code><\/p>

Example Use Case:<\/strong><\/p>

<\/circle><\/circle><\/circle><\/g><\/svg><\/span><\/path><\/path><\/svg><\/span>
import<\/span> hug<\/span><\/span>\n<\/span>\n@hug.get<\/span>(<\/span>'<\/span>\/happy_birthday<\/span>'<\/span>)<\/span><\/span>\ndef<\/span> <\/span>happy_birthday<\/span>(<\/span>name<\/span>, <\/span>age<\/span>:<\/span> hug.types.number<\/span>=<\/span>1<\/span>):<\/span><\/span>\n    <\/span>return<\/span> <\/span>f<\/span>"Happy <\/span>{<\/span>age<\/span>}<\/span> Birthday <\/span>{<\/span>name<\/span>}<\/span>!"<\/span><\/span><\/code><\/pre><\/div>
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6. joeyespo\/grip<\/a><\/h1>

Why You Should Care:<\/strong> Grip allows you to preview GitHub README.md files locally, ensuring they look perfect before pushing them to GitHub. It’s a handy tool for maintaining documentation quality.<\/p>

Installation:<\/strong> pip install grip<\/code> or brew install grip<\/code><\/p>

Example Use Case:<\/strong><\/p>

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cd myrepo<\/span><\/span>\ngrip<\/span><\/span>\n*<\/span> Running on http:<\/span>\/\/<\/span>localhost:<\/span>6419<\/span>\/<\/span><\/span><\/code><\/pre><\/div>
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7. joerick\/pyinstrument<\/a><\/h1>

Why You Should Care:<\/strong> Pyinstrument is a profiling tool that helps you identify slow parts of your code. By pinpointing bottlenecks, you can optimize your application for better performance.<\/p>

Installation:<\/strong> pip install pyinstrument<\/code><\/p>

Example Use Case:<\/strong><\/p>

<\/circle><\/circle><\/circle><\/g><\/svg><\/span><\/path><\/path><\/svg><\/span>
from<\/span> pyinstrument <\/span>import<\/span> Profiler<\/span><\/span>\n<\/span>\nprofiler <\/span>=<\/span> Profiler()<\/span><\/span>\nprofiler.start()<\/span><\/span>\n<\/span>\n# Code to profile<\/span><\/span>\n<\/span>\nprofiler.stop()<\/span><\/span>\nprofiler.print()<\/span><\/span><\/code><\/pre><\/div>
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8. marshmallow-code\/apispec<\/a><\/h1>

Why You Should Care:<\/strong> Apispec is a pluggable API specification generator with support for OpenAPI. It helps you create detailed and structured API documentation, making your APIs easier to use and maintain.<\/p>

Installation:<\/strong> pip install -U apispec<\/code><\/p>

Example Use Case:<\/strong><\/p>

<\/circle><\/circle><\/circle><\/g><\/svg><\/span><\/path><\/path><\/svg><\/span>
from<\/span> apispec <\/span>import<\/span> APISpec<\/span><\/span>\nfrom<\/span> apispec.ext.marshmallow <\/span>import<\/span> MarshmallowPlugin<\/span><\/span>\nfrom<\/span> apispec_webframeworks.flask <\/span>import<\/span> FlaskPlugin<\/span><\/span>\nfrom<\/span> flask <\/span>import<\/span> Flask<\/span><\/span>\n<\/span>\napp <\/span>=<\/span> Flask(<\/span>__name__<\/span>)<\/span><\/span>\nspec <\/span>=<\/span> APISpec(<\/span><\/span>\n    <\/span>title<\/span>=<\/span>"<\/span>API Docs<\/span>"<\/span>,<\/span><\/span>\n    <\/span>version<\/span>=<\/span>"<\/span>1.0.0<\/span>"<\/span>,<\/span><\/span>\n    <\/span>openapi_version<\/span>=<\/span>"<\/span>3.0.2<\/span>"<\/span>,<\/span><\/span>\n    <\/span>plugins<\/span>=<\/span>[FlaskPlugin(), MarshmallowPlugin()],<\/span><\/span>\n)<\/span><\/span>\n<\/span>\n@app.route<\/span>(<\/span>"<\/span>\/api<\/span>"<\/span>)<\/span><\/span>\ndef<\/span> <\/span>my_endpoint<\/span>():<\/span><\/span>\n    <\/span>pass<\/span><\/span>\n<\/span>\nwith<\/span> app.test_request_context():<\/span><\/span>\n    spec.path(<\/span>view<\/span>=<\/span>my_endpoint)<\/span><\/span><\/code><\/pre><\/div>

>GitHub: @gajanan0707<\/a><\/h4>

>LinkedIn: Gajanan Rajput<\/a><\/h4>

>Website: https:\/\/mrcoder701.com<\/a><\/h4>

>YouTube: mrcoder701<\/a><\/h4>

> Instagram: mr_coder_701<\/a><\/h4>
\"\"<\/figure>","protected":false},"excerpt":{"rendered":"

Hey there! Ready to take your Python game to the next level? Today we are going to go over 8 Python repos developers in the top 1% swear by. You may not have had these gems on your radar, but they could be the missing link in your toolkit. So let’s explore these cool resources and see how it can help you build some strong backend projects.<\/p>\n","protected":false},"author":2,"featured_media":966,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[19,31],"class_list":["post-963","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-python3","tag-pythondev"],"yoast_head":"\n8 backend repos used by the top 1% of python devs\u00a0 - 🌟Code with MrCoder7️⃣0️⃣1️⃣<\/title>\n<meta name=\"description\" content=\"Hey there! Ready to take your Python game to the next level? Today we are going to go over 8 Python repos developers in the top 1% swear by. 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Conclusion<\/h3>

These 8 repositories are invaluable tools used by top Python developers to enhance their productivity, optimize performance, and streamline development processes. Whether you’re building APIs, managing data, or profiling code, these tools can help you achieve your goals more efficiently.<\/p>

For more challenges and rewards, check out Creator Quests<\/a> at Quira, where you can build Generative AI apps and win exciting prizes! <\/p>

Happy coding! <\/p>

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