Outline update

outline.md

@@ -26,23 +26,28 @@
 
 ### Session AM2 Shell
 
+Wishlist:
+
+- path variables
+- .bashrc (important for conda)
+
 ### Session PM1 GIT
 
+- git add -i (to use later)
+
 ### Session PM2 Python Intro (basic overview) (Sebastian)
 
 - 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)
+- data structures (tuples, lists, dicts, nparrays, pandas.Dataframe, etc)
 - list comprehensions
 - provided functions + methods, attributes
 - (where/how to find help / documentation)
 - control flow: loops + conditionals
 - (code indentation)
-- numpy
 - (io, for example simply iterating over a csv we will use later)
-- read file, simple plot (or in session PM2)
 
 ### What is missing?
 
@@ -52,36 +57,44 @@
 
 ## DAY 2 AM
 
-### Session AM1 Python (structuring code, defensive programming, using prepared ts files) (Frank)
+### Session AM1 Python (structuring code, numpy, using prepared ts files) (Frank)
+
 - write function + module
-- put under version control
 - documentation
-- write script + call from bash
-- traceback, errors
-- numpy
-- %timeit and numba
+- put under version control
+
+- numpy 
+- simple ploting (read from csv we used earlier)
+
+- %timeit and numba (mention more detailed profiling tools)
 
-not covered: closures, argpars, numba
+not covered: closures, functional stuff
 
-### Session AM2: (Tim, Marius)
+### Session AM2: defensive programming, errors, commandline integration (Tim, Marius)
 
-- simple test (assert)
-- 
+- tests (assert)
+- traceback, errors (%debug magic maybe?)
+- write script + call from bash (leading to final project, commit the finished scripts)
+
+- debugging (non interactive)
 
 ## DAY 2 PM
 
-### Session PM1: Time series, functions, plotting (Robert)
+### Session PM1: Time series, functions, plotting (Robert/Benoit?)
 - reading + understanding documentation of functions
 
 Global temperature average development 1750-2010
 http://berkeleyearth.lbl.gov/auto/Global/Raw_TAVG_complete.txt
 
+- pandas basics ("numpy with index and labels")
 - download file (optional: call shell with wget from python/R)
 - read, process
 - moving average
 - plot with uncertainty band
 - write function (exercise!)
 
+- Big question, what aspects of our previous work can we use here? Celsius to Fahrenheit function for example.
+
 ### 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