Introduction
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.
1. aio-libs/yarl
Why You Should Care: Yarl is a powerful URL library, which is mostly handy, and 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.
Installation: pip install yarl
Example Use Case:
from yarl import URL
url = URL('https://www.python.org/~guido?arg=1#frag')
print(url.scheme) # 'https'
print(url.host) # 'www.python.org'
print(url.path) # '/~guido'
print(url.query_string) # 'arg=1'
print(url.query) # <MultiDictProxy('arg': '1')>
print(url.fragment) # 'frag'
2. Suor/django-cacheops
Why You Should Care: Django-cacheops enhances your Django application's performance by using Redis for advanced caching. It offers automatic query caching, event-based caching, and more.
Installation: pip install django-cacheops
Example Use Case:
from cacheops import cached_as
from myapp.models import Article
@cached_as(Article, timeout=120)
def article_stats():
return {
'tags': list(Article.objects.values('tag').annotate(Count('id'))),
'categories': list(Article.objects.values('category').annotate(Count('id')))
}
3. samuelcolvin/watchfiles
Why You Should Care: Watchfiles automatically reloads your code when changes are detected, saving you from restarting your server manually. It's a great productivity booster!
Installation: pip install watchfiles
Example Use Case:
from watchfiles import watch
for changes in watch('./path/to/dir'):
print(changes)
4. FactoryBoy/factory_boy
Why You Should Care: Factory_boy helps you generate fake but realistic data for testing your applications, streamlining your testing process and ensuring comprehensive coverage.
Installation: pip install factory_boy
Example Use Case:
from factory import Factory
from myapp.models import Order
class OrderFactory(Factory):
class Meta:
model = Order
order = OrderFactory(amount=200, status='PAID')
5. hugapi/hug
Why You Should Care: 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.
Installation: pip3 install hug --upgrade
Example Use Case:
import hug
@hug.get('/happy_birthday')
def happy_birthday(name, age: hug.types.number=1):
return f"Happy {age} Birthday {name}!"
6. joeyespo/grip
Why You Should Care: 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.
Installation: pip install grip or brew install grip
Example Use Case:
cd myrepo
grip
- Running on http://localhost:6419/
7. joerick/pyinstrument
Why You Should Care: 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.
Installation: pip install pyinstrument
Example Use Case:
from pyinstrument import Profiler
profiler = Profiler()
profiler.start()
# Code to profile
profiler.stop()
profiler.print()
8. marshmallow-code/apispec
Why You Should Care: 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.
Installation: pip install -U apispec
Example Use Case:
from apispec import APISpec
from apispec.ext.marshmallow import MarshmallowPlugin
from apispec_webframeworks.flask import FlaskPlugin
from flask import Flask
app = Flask(**name**)
spec = APISpec(
title="API Docs",
version="1.0.0",
openapi_version="3.0.2",
plugins=[FlaskPlugin(), MarshmallowPlugin()],
)
@app.route("/api")
def my_endpoint():
pass
with app.test_request_context():
spec.path(view=my_endpoint)
Conclusion
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.
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Happy coding! 🎉
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