Changed outline to python only and assumption that we don't touch git/shell part.

outline.md

-# swc workshop 2017 Fall
+# Python lesson outline
 
-## Open questions
+## Targets for the course
 
-Frank: formulate targets (Python specific)
-Stefan/Marvin/Peter/Martin: how(+why) to integrate shell usage in later R sessions
-?: prepare time series files
-Stefan/Marvin: if + where to introduce tidyverse
+- Structure your code (functions and modules, everything else is out of scope)
+- Think about possible errors
+- document, document, document
+- use version control
 
+## Assumptions
 
-## DAY 1 AM --- both
+90 minute blocks
 
-### Session AM1 (get started, know what we're doing these days)
-- intro
-- lightning talks participants 
-- course outline
+- 1 block shell
+- 1 block git
+- 4-5 blocks of python
 
-### Session AM2 (basic concepts, reasons why, basis for later use cases)
-- shell 
-- git 
+## DAY 1
 
-Each shorter than spring 2017, will be picked up in later sessions
+### Session AM1 Intro/Lightning talks
 
+### Session AM2 Shell
 
-## DAY 1 PM --- Python
+### Session PM1 GIT
 
-### Session PM1 Python Intro (basic overview)
+### Session PM2 Python Intro (basic overview)
 - python+anaconda+conda+jupyter+history
 - operators, data structures (tuples, lists, dicts, nparrays, panda.df, etc)
 - object types (string, number, boolean, complex, etc)
@@ -33,7 +32,9 @@ Each shorter than spring 2017, will be picked up in later sessions
 - numpy
 - read file, simple plot (or in session PM2)
 
-### Session PM2 Python (structuring code, defensive programming, using prepared ts files)
+## DAY 2 AM
+
+### Session AM1 Python (structuring code, defensive programming, using prepared ts files)
 - write function + module
 - put under version control
 - simple test (assert)
@@ -43,33 +44,7 @@ Each shorter than spring 2017, will be picked up in later sessions
 
 not covered: closures, argpars, numba
 
-
-
-
-## DAY 1 PM --- R
-
-### Session PM1 R Intro (basic intro)
-- R+Rstudio+CRAN+history
-- operators, vector, df, object structures (vector,df,list,other), read file, subset df
-- object class (string, number, boolean, complex, etc)
-- simple plot
-- read help for functions
-- install.packages, library + fun vs pack::fun
-
-### Session PM2 R (overview of code structuring)
-- conditions, loops, *apply
-- write function (with comments for documentation)
-- put under version control
-- simple test (testthat)
-
-not covered: package with structured documentation with devtools/Roxygen/sinew (but link to https://github.com/brry/course#packs)
-
-
-
-
-## DAY 2 AM --- both
-
-### Session AM1: Time series, functions, plotting
+### Session AM2: Time series, functions, plotting
 - reading + understanding documentation of functions
 
 Global temperature average development 1750-2010
@@ -81,20 +56,7 @@ http://berkeleyearth.lbl.gov/auto/Global/Raw_TAVG_complete.txt
 - plot with uncertainty band
 - write function (exercise!)
 
-### Session AM2:
-using shell:
-
-- if possible: get list of available files in http://berkeleyearth.lbl.gov/auto/Regional/TAVG/Text/
-- with wget: Get all textfiles (country temp development) starting with B (or with >3 consonants or whatever)
-- apply function to several textfiles
-
-Mix:
-
-- Python: APIs: numpy, pandas, xarray
-- R: Tidyverse?
-- BUFFER (previous sessions potentially too full)
-
-## DAY 2 PM --- both
+## DAY 2 PM
 
 ### Session PM1: higher dimensional (spatial) data, advanced plotting + cartography, application of aquired knowledge
 gridded data Europe: