Data Science At Scale
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).
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cudf | 6,936 | 3 | 5 months ago | 31 | October 12, 2023 | 1,001 | apache-2.0 | C++ | ||
| cuDF - GPU DataFrame Library | ||||||||||
| Koalas | 3,291 |  | 1 | 16 | 9 months ago | 47 | October 19, 2021 | 112 | apache-2.0 | Python |
| Koalas: pandas API on Apache Spark | ||||||||||
| Stumpy | 2,901 |  | 16 | 5 months ago | 28 | August 21, 2023 | 57 | other | Python | |
| STUMPY is a powerful and scalable Python library for modern time series analysis | ||||||||||
| Datascience Anthology Pydata | 302 | 7 years ago | 4 | unlicense | ||||||
| PyData, The Complete Works of | ||||||||||
| Stupid Itertools Tricks Pydata | 124 | 8 years ago | Python | |||||||
| code for my "stupid itertools tricks" talk from pydata seattle 2015 | ||||||||||
| Pyvtreat | 113 |  | 2 | 9 months ago | 42 | September 28, 2023 | 2 | other | Python | |
| vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license. | ||||||||||
| Data Science At Scale | 95 | 3 years ago | 4 | mit | Jupyter Notebook | |||||
| 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). | ||||||||||
| Tales Science Data | 40 | 6 months ago | 77 | mit | Jupyter Notebook | |||||
| WORK UNDER RESTRUCTURING | ||||||||||
| Geopython | 35 | 6 years ago | Jupyter Notebook | |||||||
| Awesome Python Videos | 18 | 4 years ago | 1 | mit | ||||||
| Learn and watch python, machine learning, and data science videos from conferences (PyCon, PyData, SciPy, PyBay, EuroPython) | ||||||||||
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