pandas   6183

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Dask: Scalable analytics in Python
Dask natively scales Python: Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

Numpy: Dask arrays scale Numpy workflows, enabling multi-dimensional data analysis in earth science, satellite imagery, genomics, biomedical applications, and machine learning algorithms.

Pandas: Dask dataframes scale Pandas workflows, enabling applications in time series, business intelligence, and general data munging on big data.

Scikit-Learn: Dask-ML scales machine learning APIs like Scikit-Learn and XGBoost to enable scalable training and prediction on large models and large datasets.
analytics  python  library  bigdata  database  datascience  numpy  pandas  scikit 
5 days ago by RBarnard
Twitter
Why you should move from to and from to ? Because of this!!! done…
hvplot  pandas  from twitter_favs
6 days ago by rukku
Python Pandas: Tricks & Features You May Not Know – Real Python
Lesser-known but idiomatic Pandas features for those already comfortable with Pandas' basic functionality and concepts.
python  pandas 
7 days ago by cychong47

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