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The Data Trinity – Practical Numpy, Pandas and Matplotlib Instructions Contents Contacts

README.md

The Data Trinity – Practical Numpy, Pandas and Matplotlib

PyCon CZ 2019, PyData track workshop

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Instructions

Please read and follow the workshop instructions carefully.

We are progressively updating this repository. Ideally, clone or update this repository the day before the workshop starts.

Contents

In this tutorial, you will get your hands on the basic toolbox of any Python data analyst or scientist. Based on publicly available data, you will learn how to:

  • Compute effectively with numeric arrays with NumPy (covering topics such as indexing and slicing, matrix operations, vectorized functions, broadcasting)
  • Perform data manipulation and queries in pandas (explaining data frames, data I/O, data cleaning, complex indexing, aggregation, grouping)
  • Visualize your results with Matplotlib (showing various types of plots and backends, mentioning alternatives when useful)

Contacts

Do not hesitate to contact us via the conference Slack: https://pyconcz2019.slack.com/messages/CJRQSN0FL.

© J+J

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