I was thinking we could all do parts for this, it's probably where we all have the most experience

Needs done:

Numpy data structures

Numpy mathsy operations

Numpy mathsy operations on numpy arrays

Numpy Random submodule (?)

Scipy stats sub-module (?)

Numpy&Scipy linalg sub-modules (?)

make a website for setup & questions for the talk

Just examples for lists, dicts, generators, nested ones

Minimise custom ReactJS component use - but provide links for where to find out more

Needs to:

download this repo

install any libraries not already on QUB computers

start up Jupyter in the right directory

Does not need to:

work for any operating system

work for any Python version

work on non-QUB computers

Conor, would you be interested in doing this one? Just as you've some experience from the week in Allstate, we'll be keeping it pretty short - just a basic intro.

Needs done:

creating a dataframe, adding columns

operations on columns

df.head(), df.tail()

some basic .groupby() / .apply() stuff

Split into several notebooks, 1 per demo / topic

add in custom C/C++ files and show how to use from python

Recap of PythonRefresher.ipynb one plus extras.

Ideas So Far:

Have them recreate the download -> install dependencies -> start Jupyter program

Weather Forecaster CLI (using darksky.net API)

File organiser/modifier CLI

Reddit/Twitter bot

show joins / merges

show df.min, .max, .std, .describe, etc. (metadata info functions for columns)

[maybe] full worked example of data input, cleaning, preprocessing, and investigation.

Only looping over a list is shown currently, show loop over range() object, list, dict, list with key,val

Should touch on basic Flask, and refer to Plotly section

4th example is inheriting from the wrong class and the function that is defined is not overwriting any function from the original first class that is currently inherited

• How to define class
• Inheritance
• decorators?

Silas, you've probably done more stuff with graphs than I have, could you take a look over the draft so far and annotate it to explain parts? Also feel free to add in / remove anything if you think it would be better.