Merge remote-tracking branch 'origin/development' into development

Author: gjbex

docs/README.md

@@ -25,7 +25,7 @@ Total duration: 4 hours.
   | Subject                                     | Duration |
   |---------------------------------------------|----------|
   | introduction and motivation                 |  5 min.  |
-  | pandas & seaborn                            |105 min.  |
+  | pandas & seaborn or polars & seaborn        |105 min.  |
   | coffee break                                | 10 min.  |
   | text parsing with regular expressions       | 40 min.  |
   | querying relational databases               | 30 min.  |

source-code/README.md

@@ -14,6 +14,7 @@ to create it.  There is some material not covered in the presentation as well.
 * [`networkx`](networkx): illustration of using the networkx library for graph
   representation and algorithms.
 * [`pandas`](pandas): illustrations of using pandas and seaborn.
+* [`polars`](polars): Kllustrations of using polars.
 * [`regexes`](regexes): illustrations of using regular expressions for
   validation and information extraction from textual data.
 * [`seaborn`](seaborn): illustrations of using Seaborn to create plots.

source-code/pandas/README.md

@@ -24,3 +24,8 @@ easy to use.
     in the Python slides.
 1. `pipes.ipynb`: consolidating data processing using pipes.
 1. `screenshots`: screenshots made for the slides.
+1. `generate_csv_files.py`: script to generate CSV files in different
+    formats.
+1. `copy_on_write.ipynb`: Jupyter notebook that illustrates how data is shared
+   between related notebooks and the role Copy-on-Write plays in order to
+   prevent accidental data modifications in more than one dataframe.