Anaconda Ecosystem for Open Data Science
summary
Anaconda claims to bundle over 200 tools and libraries with quarterly releases and uses Conda to build isolated, link‑based environments that the presenter shows as tiny reproducible specs — roughly 500‑byte environment snapshots that resolve to ~16.3 MB of downloads and dozens of linked packages to create a usable env. Examples demonstrate Jupyter notebooks mixing Python MATLAB and R, interactive Plotly/Bokeh visuals, sharing via Anaconda Cloud, and an ecosystem feeding from Conda Forge with about a thousand feedstocks.
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chapters (11)
- 0:00Anaconda and open data science
- 3:15Anaconda distribution
- 6:03Why Anaconda for workflows
- 8:12Reproducible environments
- 13:28Conda environments and packages
- 19:30Visualization in Python MATLAB R
- 23:26Switching kernels and languages
- 25:33Creating Conda environments
- 28:03Anaconda Cloud sharing
- 30:35Conda Forge contributions
- 33:18Continuum ecosystem support
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