data-lessons / library-python-intro-superseded Goto Github PK

Hi all

So, we've had a day of talking! We've deliberated a lot. We in Brisbane have concluded that the existing lesson is too Pandas, but the Software Carpentry gapminder lesson could work really well as the basis for the LC Python lesson.

So, handing over to whoever wants to take this up, or we'll be working on it tomorrow. We've imported the SC lesson into data-lessons account, the repo url is: https://github.com/data-lessons/library-python-intro

Stuff we are intending needs doing:

• Remove the pandas stuff from the lesson - we've deemed Pandas pout of scope for this lesson.
• Change wording and examples to be more library relevant in the rest of the lesson.

But, we figure a lot of it can pretty much stay as it is!

We have failed to come up with one single compelling 'superpower' example to run through the lesson. But, some more ideas we've had for examples (a lot of these might be useful for certain episodes):

• Deleting rogue punctuation from an excel..
• Comparing two sets of data for differences, eg two sets of article IDs - one locally and one on a vendor database - and you want to know which are missing form each - ie sets.
• Cleaning webpages of non-preferred language - eg you have a list of preferred terms for things. (think branding etc) and you identify pages that use non-preferred alternatives to this language.
• Cleaning dates in excel.

That's pretty much it from us for today. We'll get stuck in again tomorrow with editing the lesson. But go for it in the mean time if you want to!

• Remove Pandas lesson
• Remove old introduction
• Change maintainers

1. Extract repository data, clean it up, and re-import it
2. Scrape ARC and NHMRC reports for grants awarded to home institution and build contact list from that
3. Extract bibliographic records from a repository and identify authors lacking ORCIDs