List of 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.
| 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 |