Python Tools

In this section, we look at the different Python tools for engineers working in the ML industry. Many of these tools multi-purpose supporting DevOps and MLOps use cases.

Tool	Description	GitHub Stars	# of Contributors
Dateutil	datetime extension	1.7 k	114
emacs	Self-documenting real-time display editor	3.2 k	543
Matplotlib	create static and interactive visualizations	14.5 k	1106
NLTK	Suite of Python modules and tools for support NLP R&D	10.2 k	349
Numpy	library for multi-dimensional arrays and matrices	18.7 k	1218
Pandas	helps with expressive data structures and labeled data	31.5 k	2483
Pip	Package installers for Python	7.5 k	561
Plotly	Graphin library creates interactive graphs	10.4 k	170
pyenv	Helps manage multiple Python versions	24.9 k	321
PySpark	API allows applications to be written using Python APIs
SciPy	Library for statistics, linear algebra, optimizaion, and mathematics	8.7 k	1074
Scrapy	Web crawling and scraping tool	42 k	435
Tqdm	Make looks display a progress bar	19.8 k	106
Urllib3	HTTP user-friendly client for Python	2.8 k	252
Vim	Feature-rich and configurable text editor	24.9 k	60
Virtualenv	Helps create isolated Python environments	4 k	60