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How useful and convenient a language is often depends on the richness of its libraries. Python’s popularity depends to some extent on the fact that it is supported by too many libraries, both officially maintained and developed by third parties, besides its syntax and features. As with machine learning, for example, a very big factor in why so many people use Python is the Python support provided by TensorFlow and PyTorch. Of course, this is not to say that the Python library is completely unnecessary, it is still a work in progress in some areas or project ecology.
What Python libraries have you seen lately? The idea is to find out what Python libraries are very useful for improving productivity. Some of the responses directly post awesome-python and get a lot of likes, of course, but many of them are outdated or not of much value, adding to the cost of library selection. I have generally answered some again, in addition combined with their usual understanding of the content, a little on some basic productivity database to do a simple comb, here to share with you.
It is no longer recommended for specific scenarios, such as Web development libraries, network request libraries, data manipulation libraries, data analysis libraries, machine analysis libraries, and so on. The following is a list of libraries that are useful for building some infrastructure and improving Python productivity in most scenarios.
Attrs, cattrs
GitHub:github.com/python-attr…
Simplify class definition, serialization, deserialization, and so on.
Personal introduction: mp.weixin.qq.com/s/oHK-Y4lOe…
loguru
GitHub:github.com/Delgan/logu…
Simplifies logging.
Written personal profile: mp.weixin.qq.com/s/5Ri1WS5cT…
autopep8
GitHub:github.com/hhatto/auto…
Convert Python code to PEP8 compliant code.
psutil
GitHub:github.com/giampaolo/p…
A Python library that implements task monitoring.
furl
GitHub：github.com/gruns/furl
Url processing is very convenient, much easier than urllib and other libraries.
Retrying, tenacity,
GitHub:github.com/rholder/ret…
The exception retry library, such as the number of retries after an error, is particularly useful for making some HTTP requests, but can also be used elsewhere.
typing
Docs:docs.python.org/zh-cn/3/lib…
Python supports multiple types and nested types. It is also recommended to use Python type annotations.
argparse
Docs:docs.python.org/zh-cn/3/lib…
I have used several command-line parsing tools, such as Docopt, but have since switched back to ArgParse, which is fully functional and powerful.
absl-py
GitHub:github.com/abseil/abse…
Libraries that I find easier to use than ArgParse, such as TensorFlow, use this one and are very handy for defining some flags.
pipenv
GitHub：github.com/pypa/pipenv
More comprehensive package management tool, integrated virtual environment, support the Lock mechanism to Lock the installation package version and dependency information. Of course, there are pit points, you can search by yourself.
drf
Docs：www.django-rest-framework.org/
Django-based REST Framework to quickly implement REST APIS.
watchdog
GitHub:github.com/gorakhargos…
Easy to monitor file system changes.
glob
Docs:docs.python.org/3/library/g…
The operation of files is very convenient.
2to3
Docs:docs.python.org/2/library/2…
Convert Python2 code to Python3 code.
glom
GitHub:github.com/mahmoud/glo…
JSON nesting is handy.
pathlib
Docs:docs.python.org/3/library/p…
More convenient Python path manipulation library.
environs
GitHub:github.com/sloria/envi…
It is very convenient to obtain environment variables, supporting various types, such as int, bool, etc.
pysnooper
GitHub:github.com/cool-RR/PyS…
A very handy and simple Python debugger that tracks the execution status of every detail of code.
tqdm
GitHub：github.com/tqdm/tqdm
Progress bar control display is very convenient.
sh
GitHub：github.com/amoffat/sh
Some Linux command encapsulation, simple and efficient.
faker
GitHub:github.com/joke2k/fake…
Simulate the generation of data.
Written personal profile: mp.weixin.qq.com/s/iLjr95uqg…
Arrow, Dateutil, dateParser, pendulum
GitHub:github.com/crsmithdev/…
Time resolution and processing library, very convenient. Arrow currently has the most stars and the most favorable reviews.
yagmail
GitHub:github.com/kootenpv/ya…
Convenient mail library, instead of its own SMTPLib.
chardet
GitHub:github.com/chardet/cha…
String type encoding detection.
pypinyin
GitHub:github.com/mozillazg/p…
Chinese characters to pinyin, in some Chinese conversion processing is very useful.
Written personal profile: mp.weixin.qq.com/s/NvA3j8Ns1…
sphinx
Docs：www.sphinx-doc.org/en/master/
Most Python library documents are written this way, such as Scrapy, requests.
Example of personal sphinx + Markdown: github.com/Gerapy/Docs
jinja2
GitHub:github.com/pallets/jin…
A handy template engine for rendering pages easily.
click
GitHub:github.com/pallets/cli…
More convenient and flexible implementation of command line parameters.
ray
GitHub:github.com/ray-project…
Distributed multi-process management.
supervisor
GitHub:github.com/Supervisor/…
Process management tools, such as multitasking in the background, are often used when Docker is packaged.
apscheduler
GitHub:github.com/agronholm/a…
Python timed tasks, but K8S is also possible, and individuals may currently prefer K8S.
intelpython
Home:software.intel.com/en-us/distr…
This is not a Python library, but an Intel-based Python interpreter optimized for large scale operations.
To complete.
Ok, recommend so much first, still can accumulate slowly behind, everybody can understand, individual feeling has a lot of library still can raise productivity greatly.
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