Update slides

Author: stijnvanhoey

slides.html

@@ -281,38 +281,21 @@
 
 # Overview of the first day
 
-Remainder of the morning:
-
-* Introduction to Jupyter notebook
-* Recap of the basic python and numpy syntax
-
-Afternoon:
-
+* Introduction to Jupyter notebook/lab
 * Introduction to Pandas fundamentals
 
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 class: middle, center
 
 ![:scale 80%](./img/issuetracker.png)
 
-Report bugs, typo's, suggestions... as issues ([New issue](https://github.com/jorisvandenbossche/DS-python-data-analysis/issues/new))
+Report bugs, typo's, suggestions... as issues ([New issue](https://github.com/jorisvandenbossche/DS-python-data-analysis/issues/new)) or just by mail.
 
 or see the [contributing guidelines](https://github.com/jorisvandenbossche/DS-python-data-analysis/blob/master/CONTRIBUTING.md)
 
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 class: middle, section_background
 
-# Python, the basics...
-
----
-class: middle
-
-1. `python_recap/00-jupyter_introduction.ipynb`
-2. `python_recap/python_rehearsal.ipynb`
-
----
-class: middle, section_background
-
 # Pandas
 
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@@ -383,34 +366,16 @@
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 class: middle, day_background
 
-# Install remaining packages
-
-```
-conda install pyproj
-conda install -c conda-forge plotnine
-conda install -c conda-forge mplleaflet
-```
-
-## Then start with *case study 1:* Bike count (`case1_bike_count.ipynb`)
-
----
-class: middle, day_background
-
 # Overview of the second day
 
 1. *Case study:* Bike count
 2. Pandas: indexing part II
 3. Pandas: groupby operations
 4. *Case study:* Processing observations field study data
-5. Visualization: Introduction to matplotlib and plotnine
+5. Visualization: Introduction to matplotlib and seaborn
 6. Pandas: reshaping data
 7. *Case study:* Bacterial resistance lab study
 
----
-class: middle
-
-## Continue with *case study 3:* Bacterial resistance (`case3_bacterial_resistance_lab_experiment.ipynb`)
-
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 class: middle, day_background
 
@@ -420,7 +385,7 @@
 2. *Case study:* Analyse observations field study data
 3. *Case study:* Analyse air quality sensor data
 4. *Case study:* Process air quality sensor data
-5. Visualization: overview other tools
+5. Visualization: overview visualization landscape
 6. Closing remarks
 
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