PyParis 2017 http://pyparis.org

1. MOOC PYTHON / FUN
Thierry Parmentelat - Inria
PyParis, May 13th 2017
Auteurs : Arnaud Legout & Thierry Parmentelat

2. 30,000 ft
for whom: figures about the audience
what: scope
how: thanks jupyter !

3. AUDIENCE

4. Plateforme FUN
http://fun-mooc.fr/

5. TARGET (1)
french-speaking MOOC
target audience : BAC+2
not the actual audience..

6. TARGET (2)
little exposure to programming
but not newbie-oriented either
python as a tool - and not as an end
still thorough review of python concepts

7. FIGURES
past: 3 sessions so far: 2014, 2015, 2016
33268 total registered students
for python2.7
next: being rewritten for python3
shooting in Sept - run in Nov/Dec
inputs welcome !

9. SESSION 1

10. Profil des parti
Motivations
SESSION 2

11. SESSION 2Niveau d'études
Connaissances
préalables de Python

12. SESSION 2
Niveau d'études
Sources: statistiquesFUN et réponsesau questionnaire
Environ 80%
et 20% de
Moyenne d'âge : e

13. SESSION 2
Situation actuelle
- Belgique
- Sénégal
- Cameroun
- Togo
- Brésil
ron 80% d'hommes
t 20% de femmes

14. SESSION 3

15. SESSION 3

16. SESSION 3

17. WORTH NOTING
a few institutions instruct their students
to follow the MOOC online
and then organize their own exams
namely: UPMC, CentraleSupelec
as well as a few master programs

18. CONTENTS

19. THE PIECES
7 - rather dense - weeks, with
videos - of course ..
quiz - as supported by FUN (marginal use)
notebooks - more on this later
forum : very active, hence the ‘scheduled' runs

20. COMMON TRACK (W1-W5)
getting started
basic types, functions, syntax
advanced types,
shared refs, copies
packages / modules
iterables / iterators
comprehensions
functional objects
argument passing
attributes
classes - inheritance
overloading operators
generators / gen exps
exceptions

21. ADVANCED TRACK (W6-W7)
generators
advanced attributes
decorators
metaclasses
mini-projects
data
networking
system

22. LITTLE OR NO COVERAGE
stdlib: only touch on some tools
benchmarking / profiling / debugging :
only mentioned en passant
not covered numpy, a fortiori pandas
not covered : testing

23. NOTEBOOKS

24. REQUIREMENTS
need for some programming sandbox
integrated with the FUN / edx platform
without requiring a local installation
potentially extensible:
auto correction
auto illustration

25. EDX/INTEGRATION
In order to allow for notebooks inside FUN/edX :
new type of component (video, quiz, … notebook)
that simply redirects to a separate architecture
through an <iframe>

26. SAMPLES
On the FUN platform

27. NOTEBOOK INFRA
accepts all incoming URLs from FUN’s IP
create Unix accounts / student on the fly
hosts as many notebook servers as students
copies master notebooks on demand

28. NBHOSTING
a replacement for a former quick-and-dirty solution
http://github.com/parmentelat/nbhosting
based on
nginx, for reverse-proxy / firewall-friendly
django, for internal logic
docker, for isolation / student + 1 course = 1 image

29. THANK YOU
again : inputs for the python3
next release are more than welcome !