Update to outline Meeting 13.10.

outline.md

 # Python lesson outline
 
+## Target audience
+
+- knows what a loop is/some experience in any language
+- no python experience required
+
 ## Targets for the course
 
 - Structure your code (functions and modules, everything else is out of scope)
@@ -25,8 +30,9 @@
 
 ### Session PM2 Python Intro (basic overview) (Sebastian)
 
-- python+anaconda+conda+jupyter+history
-- (notebooks vs. interpreter vs. scripts)
+- python
+ - anaconda+conda+jupyter+history(+dependencies)
+ - notebooks vs. interpreter vs. scripts (sehr kurz)
 - object types (string, number, boolean, complex, etc) and operators
 - data structures (tuples, lists, dicts, nparrays, panda.df, etc)
 - list comprehensions
@@ -35,7 +41,7 @@
 - control flow: loops + conditionals
 - (code indentation)
 - numpy
-- (io)
+- (io, for example simply iterating over a csv we will use later)
 - read file, simple plot (or in session PM2)
 
 ### What is missing?
@@ -49,14 +55,22 @@
 ### Session AM1 Python (structuring code, defensive programming, using prepared ts files) (Frank)
 - write function + module
 - put under version control
-- simple test (assert)
 - documentation
 - write script + call from bash
 - traceback, errors
+- numpy
+- %timeit and numba
 
 not covered: closures, argpars, numba
 
-### Session AM2: Time series, functions, plotting (Robert)
+### Session AM2: (Tim, Marius)
+
+- simple test (assert)
+- 
+
+## DAY 2 PM
+
+### Session PM1: Time series, functions, plotting (Robert)
 - reading + understanding documentation of functions
 
 Global temperature average development 1750-2010
@@ -68,18 +82,14 @@ http://berkeleyearth.lbl.gov/auto/Global/Raw_TAVG_complete.txt
 - plot with uncertainty band
 - write function (exercise!)
 
-## DAY 2 PM
-
-### Session PM1: higher dimensional (spatial) data, advanced plotting + cartography, application of aquired knowledge (Joachim/Benoit?)
-gridded data Europe: 
-
+### Session PM2: Git in practice (optional if we ran out of time)
+- Joachim zeigt  higher dimensional (spatial) data, advanced plotting + cartography (tool showcase)
 - read netcdf file
 - plot map of one time slice 
 - now compare plot with given cuteplot function by Joachim
 - extract time series Potsdam
 - compare with global average from Berkeley
 
-### Session PM2: Git in practice (optional if we ran out of time)
 - use git: final commit
 - create github/gitlab account + create repos + add remote
 - git push + inspect online