PyParis 2017 / Un mooc python, by thierry parmentelat
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The document discusses a MOOC on Python programming offered on the FUN platform in France. It provides details on the audience, which is French-speaking students with some exposure to programming. Around 33,000 students have registered across 3 sessions so far. The course materials include videos, quizzes, and Jupyter notebooks hosted on a separate infrastructure that allows notebooks to be viewed within the online course platform. The content covers basic and advanced Python concepts across 7 weeks. Feedback is welcomed to help update the course for an upcoming session that will transition to teaching Python 3.
PyParis 2017 / Un mooc python, by thierry parmentelat
- 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
- 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
- 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 !