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Author: gjbex

docs/README.md

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+The Python programming language is increasingly popular.  It is a
+versatile language for general purpose programming and accessible
+for novice programmers.  However, it is also increasingly used for
+data science applications.  This training introduces modules that
+are useful in that context.
+
+
+## Learning outcomes
+
+When you complete this training you will
+
+  * be able to use pandas to represent, compute with and query data;
+  * be able to visualize data with seaborn and holoviews;
+  * be able to create data visualizations with matplotlib and bokeh;
+  * be able to parse textual information using regular expressions;
+  * be able to interact with relational databases using SQLAlchemy;
+  * be able to extract information from web pages using beautiful soup;
+  * be able to represent and query geographical information using geopandas.
+
+
+## Schedule
+
+Total duration: 4 hours.
+
+  | Subject                                     | Duration |
+  |---------------------------------------------|----------|
+  | introduction and motivation                 |  5 min.  |
+  | pandas & seaborn                            |105 min.  |
+  | coffee break                                | 10 min.  |
+  | text parsing with regular expressions       | 40 min.  |
+  | querying relational databases               | 30 min.  |
+  | web scraping                                | 10 min.  |
+  | geographical information with geopandas     | 30 min.  |
+  | wrap up                                     | 10 min.  |
+
+
+## Training materials
+
+Slides are available in the
+ [GitHub repository](https://github.com/gjbex/Python-for-data-science),
+as well as example code and hands-on material.
+
+
+## Target audience
+
+This training is for you if you need to use Python for data analysis.
+
+
+## Prerequisites
+
+You will need experience programming in Python.  This is not a training that starts
+from scratch.  Familiarity with numpy is not required, but would be beneficial.
+
+If you plan to do Python programming in a Linux or HPC environment you should
+be familiar with these as well.
+
+
+## Trainer(s)
+
+  * Geert Jan Bex ([[email protected]](mailto:[email protected]))