Who Uses Dask?
As we’ll see in this post, researchers, data scientists, banking firms, and even government agencies use Dask across various domains.
Python, Data Science, and Machine Learning in 2020
Python is the language of choice for science and research today, in both industry and academia. A major reason for its popularity is the plethora of supporting tools available for various specific use cases, including NumPy, SciPy, pandas, Matplotlib, scikit-learn, Jupyter Project, and of course, Dask. The Scientific Python community consists of people around the …
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What is Dask?
Dask is a free and open-source library for parallel computing in Python. Dask helps you scale your data science and machine learning workflows. Dask makes it easy to work with Numpy, pandas, and Scikit-Learn, but that’s just the beginning. Dask is a framework to build distributed applications that has since been used with dozens of other systems like XGBoost, PyTorch, Prefect, Airflow, RAPIDS, and more. It’s a full distributed computing toolbox that fits comfortably in your hand.