Learning Python

MIT Outreach Guest Speaker Series

Transcript

1. 
 Learning Python Tips from Cognitive Science, Jupyter, and Open Souce Community Carol Willing March 27, 2021 Oak Valley Coding Club Guest Speaker Series with MIT Alumni Club of San Diego
2. Hello Steering Council, Python Core Developer, Python Fellow, Python Software Foundation Frank Willison Award for technical and community contributions to Python Steering Council, Project Jupyter Core Developer, Project Jupyter Co-Editor, Journal of Open Source Education Co-Author, Teaching and Learning with Jupyter Notebooks 2017 ACM Software System Award Lead Developer Advocate, Noteable.io Carol Willing GitHub: willingc
3. HELLO, I’M CAROL ➤ I love playing and creating with code. ➤ Ooh...cool. How did you make this? ➤ What happens if... ➤ I wonder if I can break it. ➤ People before code - always ➤ Learn, Build, Share - Openly
4. Why learn Python?
5. Learning and Cognitive Science Thinking Ideas
6. What is Cognitive Science? Anthropology Linguistics Education AI Psychology Philosophy Neuroscience
7. Learning results from what a student does and thinks and only what the student does and thinks. Herbert A. Simon
8. The teacher can advance learning only by in fl uencing what the student does to learn. Herbert A. Simon Credit: http://bostonpythonworkshop.com/
9. Language
10. Python - The Beginning the most important lesson I learned was about sharing – Guido van Rossum http://neopythonic.blogspot.com/2016/04/kings-day-speech.html
11. Designed for Learning In reality, programming languages are how programmers express and communicate ideas — and the audience for those ideas is other programmers, not computers. http://neopythonic.blogspot.com/2016/04/kings-day-speech.html – Guido van Rossum
12. Creating CPython: Guido & core team Credit: LWN.net PyCon 2017 Language Summit
13. Scratch to Python 3 Joshua Lowe EduBlocks
14. Mu Python 3 code editor for learning https://codewith.mu
15. Visualize Get live help pythontutor.com Philip Guo (UCSD Cognitive Science)
16. @WillingCarol Learn Python is designed for your success. https://devguide.python.org/ https://docs.python.org/ https://python.org/
17. Tools and Libraries
18. Jupyter Notebook A Jupyter Notebook document with a visualization of measles data.
19. @WillingCarol 19 
 JupyterLab: Integrated Experience
20. @WillingCarol 20 Learning and computational ideas Usability Reproducibility Collaboration Prediction Recommendation Classification
21. @WillingCarol 21 
 Jupyter Notebook • Interactive, browser-based computing environment • Exploratory data science, ML, visualization, analysis, stats • Reproducible document format: • Code • Narrative text (markdown) • Equations (LaTeX) • Images, visualizations • Over 50 programming languages • Everything open-source (BSD license) Interactive, Exploratory, Reproducible
22. Five years ago 283,399 notebooks on GitHub
23. Today 9,857,138 notebooks on GitHub
24. How did we get to almost 10 million notebooks in 5 years?
25. It started with communication, problem solving, passion, and simplicity
28. @WillingCarol 28 
 Enabling Reproducible Science https://losc.ligo.org/about/
29. @WillingCarol 29 
 Live Code on Binder https://beta.mybinder.org/v2/gh/minrk/ligo-binder/master?filepath=index.ipynb https://losc.ligo.org/tutorials/ LIGO Binder mybinder.org
30. • Feedback and communication with students using nbgrader http://kristenthyng.com/blog/2016/09/07/ jupyterhub+nbgrader / • Progression to complex examples and task s https://github.com/kthyng/ python4geosciences Geosciences and Climate Change Python for Geosciences Dr. Kristen Thyng
31. Digital Humanities and Arts
32. @WillingCarol 32 
 Enabling Open Data Journalism
33. JupyterHub
34. • Exploration and experimentation http://pyvideo.org/scipy-2016/labs-in-the-wild-teaching- signal-processing-using-wearables-jupyter-notebooks- scipy-2016.html • Physical media with wearables and electronics • Real world, self-directed projects Motivate learners in science and engineering Teaching Signal Processing using Wearables and Jupyter Notebooks Dr. Demba Ba
35. Used in universities around the world Berkeley Data Scienc e Data8 UC Berkeley http://denero.org/data-8-in-spring-2017.html https://github.com/data-8/jupyterhub-k8s http://data8.org/ http://data.berkeley.edu/ http://data.berkeley.edu/about/videos • Campus wide curriculu m • Cross-disciplin e • Zero to JupyterHub with Kubernetes https://zero-to-jupyterhub.readthedocs.io
36. Community
37. Invite new learners Use a proven curriculum Engage students Reduce stress with notebooks Meetups and Workshops Intro to Python - San Diego Python http://pyvideo.org/pycon-us-2013/a-hands-on-introduction-to-python-for-beginning-p.html https://github.com/pythonsd/intro-to-python
38. DjangoGirls and PyLadies
39. Community
41. Tinkering and making
42. Building helpful community
43. ...a programming language created by a community fosters happiness in its users around the world. – Guido van Rossum
44. @WillingCarol Learn Share Build
45. @WillingCarol Choose a language designed for learning
46. @WillingCarol Use learner-friendly tools
47. @WillingCarol Encourage others and share
48. @WillingCarol Immerse yourself
49. Came for the language. Stayed for the community. Brett Cannon and Pythonistas around the world Credit: Kushal Das
50. @WillingCarol 50 Thank you
51. Python Software Foundation
52. •San Diego Python •Demba Ba •Project Jupyter team and community •Photo credits and links on individual slides Attributions and recognition https://speakerdeck.com/willingc/learning-python-mit-outreach