Comments (6)
Thanks! This looks like a great start.
from python-data-wrangling-legacy.
I'll start a concurrent list of other potentially useful topics/methods:
-
.get_dummies()
- split-apply-combine
- datetime
from python-data-wrangling-legacy.
@davclark it might be nice to have your input on this too. The context is that we are introducing pandas in the intro series, so we might want to update the pandas workshop.
from python-data-wrangling-legacy.
To be sure I'm clear - students will have basic pandas in the intro series, so here it will be intermediate / advanced topics?
from python-data-wrangling-legacy.
Correct. I'm okay with some topical overlap or review of the basics, but it
seemed like a good opportunity to expand our offerings.
On Thu, Feb 11, 2016 at 8:10 AM Dav Clark [email protected] wrote:
To be sure I'm clear - students will have basic pandas in the intro
series, so here it will be intermediate / advanced topics?—
Reply to this email directly or view it on GitHub
#5 (comment)
.
from python-data-wrangling-legacy.
Also, this issue was started here because it was a space that was already available. When we actually create the actual intermediate / advanced materials, it will be in another repository. (I mention this in case there was confusion about why the topics mentioned in this issue were in the introduction to pandas repo.)
from python-data-wrangling-legacy.
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