Update slides for live version (#147)

Author: stijnvanhoey

slides.html

@@ -38,7 +38,7 @@
 # Data manipulation, analysis and visualisation in Python
 
 Specialist course Doctoral schools of Ghent University,<br>
-31 May 1, 3 June 2021
+20, 21 and 22 December 2021
 
 Joris Van den Bossche, Stijn Van Hoey
 
@@ -49,11 +49,11 @@
 
 # Who are you?
 
-Go to https://hackmd.io/EY59dn0TQoqsMv5k_A9xKg?both
+Go to https://hackmd.io/d6wqmazERIyz__dlfwKq1w?both
 
 <small>(You do not need to sign in, just start editing.)</small>
 
-<iframe src="https://hackmd.io/EY59dn0TQoqsMv5k_A9xKg?view" height="400px" width="800px"></iframe>
+<iframe src="https://hackmd.io/d6wqmazERIyz__dlfwKq1w?view" height="400px" width="800px"></iframe>
 
 ---
 
@@ -72,58 +72,15 @@
 <a href="https://twitter.com/svanhoey"><i class="fa fa-twitter" aria-hidden="true"></i> SVanHoey</a>,
 <a href="https://github.com/stijnvanhoey"><i class="fa fa-github" aria-hidden="true"></i> stijnvanhoey</a>
 
-* Research software engineer
+* Freelance developer and teacher
+* Research software engineer at Fluves
 
 .center[
 ![:scale 90%](./img/work_stijn_1.png)]
 
 ---
 class: middle, section_background
 
-# Introduction
-
----
-class: center, middle
-
-index | date
-:-----:|:----:
-2  | 19930000
-8  | 1992-930
-27  | 20050500
-34  | 201405.01
-162 | 7/9/2287
-1400  | 0.0
-2800 | start of the year 2015
-3777 | Summer
-8733  | 2013-2016
-26766  | 26/09/2002 and later 1/1/2016
-40788  | Nan
-41277  | /
-51002  | -999
-51007  | -9999
-
---
-
-.center[Never underestimate the creativity of humans!]
-
----
-class: center, middle
-
-![:scale 100%](./img/datacleaning1.jpg)
-
----
-class: center, middle
-
-![:scale 100%](./img/datacleaning2.jpg)
-
----
-class: left, middle
-
-> In this course, we focus on the Python *scientific ecosystem* to tackle data manipulation and visualisation tasks.
-
----
-class: middle, section_background
-
 # Setting up a working environment
 
 ---
@@ -139,14 +96,14 @@
 1. Make sure to (re)download ALL the course material, see [2-getting-the-course-materials](https://jorisvandenbossche.github.io/DS-python-data-analysis/setup.html#2-getting-the-course-materials) also if you already did this before.
 1. Next, also do section 3 and 4 of the [setup](https://jorisvandenbossche.github.io/DS-python-data-analysis/setup.html) instructions.
 
-> If you succesfully done 1, 2 and 3, give a 👍 `thumbs up` to the _are-you-ready_ message in the discord `#status` channel.
+> If you succesfully done 1, 2 and 3, put up your `green sticky note` on your computer screen.
 
 Next:
 
-- Surf to and fill in [the questionnaire](https://hackmd.io/EY59dn0TQoqsMv5k_A9xKg?both)
+- Surf to and fill in [the questionnaire](https://hackmd.io/d6wqmazERIyz__dlfwKq1w?both)
 - In JupyterLab, start with the `notebooks/00-jupyter_introduction.ipynb` individually.
 
-Installation or setup issues? Post them on the discord `#installation-issues` channel
+Installation or setup issues? Put up your `orange/red/yellow sticky note` on your computer screen.
 
 ---
 class: center, middle
@@ -164,17 +121,19 @@
 ### Time is divided between
 
 - group sessions: we explain new concepts (aka 'theory')
-- break-out sessions: you work on exercises or case studies
+- practise sessions: you work on exercises
 
-In case of questions, remarks, suggestions, you can always post messages in the discord `#daily-channel`
+In case of questions, remarks, suggestions, you can always interrupt us and just ask.
+
+During practise sessions, use the `orange/red/yellow sticky note` on top of your screen to let us know you have a question.
 
 ### Status check
 
-We will regularly ask for a check (ready with exercise, installation succesfull...). Use the discord `#status` channel to put 👍 (`thumbs up`).
+We will regularly ask for a check (ready with exercise, installation succesfull...). Use the `green sticky note` on top of your laptop screen to say 👍.
 
 ### Feel lost?
 
-Feel free to send a discord direct message to one of us, we are stand by.
+Just ask either one of us, we are here to help you.
 
 ---
 class: middle, center
@@ -186,6 +145,55 @@
 or see the [contributing guidelines](https://github.com/jorisvandenbossche/DS-python-data-analysis/blob/master/CONTRIBUTING.md)
 
 
+---
+class: middle, section_background
+
+# Introduction
+
+---
+class: center, middle
+
+index | date
+:-----:|:----:
+2  | 19930000
+8  | 1992-930
+27  | 20050500
+34  | 201405.01
+162 | 7/9/2287
+1400  | 0.0
+2800 | start of the year 2015
+3777 | Summer
+8733  | 2013-2016
+26766  | 26/09/2002 and later 1/1/2016
+40788  | Nan
+41277  | /
+51002  | -999
+51007  | -9999
+
+--
+
+.center[Never underestimate the creativity of humans!]
+
+---
+class: center, middle
+
+![:scale 100%](./img/datacleaning1.jpg)
+
+---
+class: center, middle
+
+![:scale 100%](./img/datacleaning2.jpg)
+
+---
+class: left, middle
+
+> In this course, we focus on the Python *scientific ecosystem* to tackle data manipulation and visualisation tasks.
+
+---
+class: middle, section_background
+
+# Working with Python
+
 ---
 
 # Conda
@@ -204,7 +212,6 @@
 - You can install different version of Python and other packages alongside on your computer
 - Easily share environments with other
 
-
 ---
 ## Small overview of conda commands
 
@@ -247,11 +254,8 @@
 ```
 
 ---
-class: middle, section_background
-
-# Working with Python
 
----
+# Writing Python code
 
 ## IPython console
 
@@ -334,7 +338,6 @@
 * When working with array data (e.g. images, numerical algorithms): just stick with numpy
 * When working with multidimensional labeled data (e.g. climate data): have a look at [xarray](http://xarray.pydata.org/en/stable/)
 
-
 ---
 
 ## Key features
@@ -392,7 +395,7 @@
 ![:scale 100%](http://esq.h-cdn.co/assets/15/51/980x490/landscape-1450137389-john-cleese.JPG)
 
 
-### https://forms.gle/4yAv8dZxbBBpNsCK6
+### https://forms.gle/Fgi6CfSNPZDDWTUu9
 
 
 Please fill in the questionnaire!