As its name stands, an out-of-the-box ready environment for datascience projects in python, including all the mandatory libs & toolkits to do just that.
| Version | Description |
|---|---|
| 3.8-alpine | DEPRECATED - See Side Note About Alpine & Python Images |
| 3.8-buster-slim | Recommended Image |
- matplotlib: plotting library for Python and its numerical mathematics extension NumPy
- nltk: suite of libraries and programs for symbolic and statistical natural language processing for Engl**ish
- numpy: support for large, multi-dimensional arrays and matrices
- pandas: library providing high-performance, easy-to-use data structures and data analysis tools
- scikit-learn: machine learning library integrates with NumPy and SciPy
- scipy: library used for scientific computing and technical computing
- ta-lib: the well known essential Technical Analysis library
[When used for] Python, Alpine Linux will quite often:
- Make your builds much slower.
- Make your images bigger.
- Waste your time.
- On occasion, introduce obscure runtime bugs.
See this pertinent article on the matter.