Hi there,
My name is Merav Yuravlivker, and I'm the CEO of Data Society - we deliver
data science academies to Fortune 500 companies, government agencies, and
other international organizations.
We're currently looking for part-time Python instructors and TAs, and my
friend Jackie Kazil recommended I reach out to you and your list serv. All
of these opportunities can be available for people who are employed
full-time, professors, or grad students. We pay well and provide all the
materials for the instructor, as well as instructor training and support.
If possible, would you please be able to share the following blurb? Please
let me know if there is anything else you need from me. Much appreciated!
Best,
Merav
---
Data Society, a fast-growing data science training company, is looking for
awesome Python instructors and TAs! We deliver data academies to Fortune
500 companies, government agencies, and international organizations. All of
our content is built in-house by an expert team of data scientists and
instructional designers, so you can focus on what you do best - teach
professionals how to find new insights and make their jobs easier.
We currently have a few openings for TAs, as well as part-time instructors
- all of these opportunities can be available for people who are employed
full-time, professors, or grad students. We pay competitively, have a great
support team, and provide amazing opportunities for additional projects if
you're interested.
To learn more, please visit our page for current opportunities
<https://t.sidekickopen10.com/s2t/c/5/f18dQhb0S7lM8dDMPbW2n0x6l2B9nMJN7t5X-F…>,
or simply reach out to Merav at merav(a)datasociety.com.
--
Schedule a time to meet
<https://t.sidekickopen10.com/s1t/c/5/f18dQhb0S7lM8dDMPbW2n0x6l2B9nMJN7t5X-F…>
Merav Yuravlivker
Data Society, Chief Executive Officer and Co-founder
777 6th Street NW, 11th Floor
Washington, D.C., 20001
Enterprise: solutions.datasociety.com
Consumer: datasociety.com
When I start introducing Python I use this chart [1]:
Five Dimensions of Python:
- Level 0: core syntax with keywords & punctuation, indentation (import,
if...)
- Level 1: a large set of built-ins (e.g. print)
- Level 2: special names with the double underlines
- Level 3: Standard Library (e.g. math)
- Level 4: 3rd Party Ecosystem (e.g. numpy, pandas, matplotlib)
Here's a Level 2 topic I've been recently working on:
https://nbviewer.org/github/4dsolutions/m4w/blob/main/gadzooks.ipynb
I know, we don't all love those __ribs__ (special names), however that's a
benefit of Free Open Source: you can fork and adapt, take the best ideas,
and leave the rest.
This one is about how implementing __add__ gets you default behavior
for __iadd__ with no extra work, with the option to go on to add your
own __iadd__.
Kirby
[1] example of me doing that:
https://github.com/4dsolutions/clarusway_data_analysis/blob/main/python_war…
coming from:
https://nbviewer.org/github/4dsolutions/clarusway_data_analysis/blob/main/D…
(Exhibit: some Python teaching in the wild....)
https://youtu.be/enO1vgOJxwM
Were I to join the Saturday Morning queue, and share a Lightning Talk at a
Pycon. Fond memories. [1]
This 4 min 38 sec YouTube speaks to teachers in that Venn Diagram where the
set of math teachers and set of Python programmers intersect. edu-sig has
always presumed such an intersection exists, and caters to its members.
Kirby
