pycam / python-functions-and-modules Goto Github PK

Use the file to plot data later on.

only one file to import, simple way.

more about BioPython?

BioConda - brilliant. Super powerful, more than Python. For Bioinformatics.

Proposed to add bonus exercises

Base the entire course on one exercise with logical connection with everything.

Function that become module -- which use cases?
Building module gradually
Nothing trivial which could be solved in excel

Exercises 1.1

We are going to look at a Gapminder dataset, made famous by Hans Rosling from the Ted presentation ‘The best stats you’ve ever seen’.

    Read the dataset from the file data/gapminder.txt
    Find what are the oldest and youngest years in the dataset programatically
    Calculate average life expectancy as well as global population increase between these two years
    Find which country has the lowest life expectancy in 2002

Not clear: 'Find what are the oldest and youngest years in the dataset programatically'
Repharse it.

It should go back to the first two days courses.
We should start with function!

Discussion about python-functions-and-modules/python_fm_1.ipynb

Crashed course before?
Idea to send an email to participant before.
Link to crash course for participants to look before?
Update the description of the course to make sure participants know Python before coming to this course.

Should be given in less than one hour.
Update text to make it clearer.

BioPython
and Mathplotlib to be expendanted
Spend more time on these libraries

Add new course on Pandas?

Only BioPython and matplotlib
Remove building module yourself

Create maybe a thrird potential course - with one exercise building up and creating your own and publishing it

Possibles sessions:

• session1 : python basic - datatypes and collections, conditions, loops and files + a recap exercise
• session2 : functions - writing reusable code within your own script (old day2_session1)
• session3 : modules - writing reusable library and using existing ones os, csv (old day2_session2&3)
• session4: using external libraries - biopython (old day2_session4) and maybe another one