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PT26960
Training Summary
This technical, hands-on overview class offers a brief but precise look at the many aspects of deploying and programming Dask, beginning with fundamentals of parallelism and Dask Dataframe, a model for large-scale tabular data based on extending Pandas. The class also explores visualizing the system using Dask’s real-time, animated dashboards.
Dask Overview is recommended as a standalone class or as the first day of a deeper, multi-day exploration of Dask.
Prerequisites
The following prerequisites are required for this course:
- Python, basic level
- PyData stack (Pandas, NumPy, scikit-learn), basic level
Duration
1 Day/Lecture & Lab
Audience
This course is intended for those who manage large-scale data transitions.
Course Topics
- Introduction
- Parallelize Python Code
- Dask Dataframe
- Dask Array
- Dask Graphical User Interfaces
- Machine Learning
- Best Practices