# coiled/data-science-at-scale

<https://repo.masters-masters.com/en/repos/coiled/data-science-at-scale>

[Home](https://repo.masters-masters.com/en) › [coiled](https://repo.masters-masters.com/en/owners/coiled) › [data-science-at-scale](https://repo.masters-masters.com/en/repos/coiled/data-science-at-scale)

coiled/data-science-at-scale has 121 stars on GitHub. Its RepoMasters card: Prototype tier. A Pythonic introduction to methods for scaling your data science…

| Field | Value |
| --- | --- |
| Owner | [coiled](https://repo.masters-masters.com/en/owners/coiled) |
| Stars | 121 |
| Forks | 40 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [coiled/data-science-at-scale](https://github.com/coiled/data-science-at-scale) |

## Repository

A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.