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datascience

This is the Data Science course material and lectures.

This course covers several packages that are common to users who use python for scientific data analysis: NumPy, pandas, and Dask. NumPy and pandas support analysis of arrays and matrices (including images and time series data),while Dask enables parallelization and aids with handling large data volumes (perhaps you’ll find this discussion useful).

This is a “follow along” class, meaning that you will be working on your computers during the exercises (ideally). Please try to have your computers set up and ready to go with “Course 0” on https://github.com/helio670/setup

Schedule

Heliophysics Development Series

Data Science Packages for python

May 28, 2019

Building 21 Room 183A

Time Topic Link
09:00 - 09:30 setup & questions
09:30 – 11:00 Advanced NumPy (Daniel Da Silva) Link
11:00 – 12:00 Advanced Pandas (Brent Smith/Jules Kouatchou) Link
12:00 - 13:00 Lunch
13:00 - 14:00 Introduction to Dask (Brent Smith) Link
14:00 - 15:30 Real-Time Data Science Applications (Brent Smith) Link
15:30 - 16:00 Q&A

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