Python library from Linkend

 I reviewed 1,000+ Python libraries and discovered these hidden gems I never knew even existed.

Here are some of them that will make you fall in love with Python and its versatility (even more). (Please find the full list here: https://bit.ly/py-gem-libs)

1) Mito: Analyze data in Jupyter by editing a spreadsheet.

Link: https://bit.ly/mito-ds

2) Sourcery: Automated code refactoring to make code clearer and concise.

Link: https://bit.ly/py-sourcery

3) Bashplotlib: Draw plots in the terminal.

Link: https://bit.ly/bshplt

4) Xonsh: Use IPython and a UNIX shell together.

Link: https://bit.ly/xonsh

5) Rebound: Fetch Stack Overflow answers in case of errors during runtime.

Link: https://bit.ly/py-re

6) Livepython: Watch your Python code run like a movie.

Link: https://bit.ly/live-py

7) Reloading: Modify Python code during run-time. 

Link: https://bit.ly/py-chng

8) PyQRCode: Convert any text/URL/Image to a QR code.

Link: https://bit.ly/qrpy

9) PyWhatKit: Automate sending messages on WhatsApp.

https://bit.ly/wtsappy

10) Pytube: Download YouTube videos.

Link: https://bit.ly/pyutube

11) SymPy: Perform symbolic computations in python to solve/print mathematical equations.

Link: https://bit.ly/py-spy

12) Rembg: Remove background from images.

Link: https://bit.ly/rem-bg

13) Grip: Preview the README file locally as it will appear on GitHub.

Link: https://bit.ly/grip-py

14) getpass: Hide passwords while typing them in scripts.

Link: https://bit.ly/getpass-py

15) returns: Make your functions return something meaningful, typed, and safe!

Link: https://bit.ly/py-rtns

16) faster-than-requests: Speed up the requests module in Python.

Link: https://bit.ly/fast-rqsts

17) Camelot: Extract tables from PDFs. Especially useful for complex tables.

Link: https://bit.ly/pycamelot

18) Ftfy: Get rid of junk characters and other problems with Unicode.

Link: https://bit.ly/py-ftfy

19) Numerizer: Convert natural language numbers into digits.

Link: https://bit.ly/numerizer

20) Humanize: Turn a number into words, and many more.

Link: https://bit.ly/py-humanize

21) textstat: Get stats for text data such as word count, reading time.

Link: https://bit.ly/py-textstat

22) isort: Automatically sort imports, and separate them into sections and by type.

Link: https://bit.ly/py-isort

23) DotMap: Supercharge python dictionaries with dot notation.

Link: https://bit.ly/py-dotmap

24) Panel: Create interactive data dashboards and applications.

Link: https://bit.ly/py-panel

25) more-itertools: Supercharged itertools.

Link: https://bit.ly/moreiter

26) Pendulum: Intuitive date-time manipulations in Python.

Link: https://bit.ly/py-pendulum

That’s a wrap!!

What cool Python libraries would you add to this list?

👇 Drop your suggestions in the replies below 👇

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