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
   

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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
   

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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
   

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4. Why learn Python?
   

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5. Learning and Cognitive Science
   Thinking
   Ideas
   

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6. What is
   
   Cognitive
   Science?
   Anthropology
   
   
   Linguistics
   Education
   AI
   Psychology
   Philosophy
   Neuroscience
   

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7. Learning results
   from what a
   student does and
   thinks and only
   what the student
   does and thinks.
   Herbert A. Simon
   

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8. The teacher can
   advance learning
   only by
   in
   fl
   uencing what
   the student does
   to learn.
   Herbert A. Simon
   Credit: http://bostonpythonworkshop.com/
   

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9. Language
   

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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
    

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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
    

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12. Creating CPython: Guido & core team
    Credit: LWN.net
    PyCon 2017 Language Summit
    

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13. Scratch to
    Python 3
    
    Joshua Lowe
    EduBlocks
    

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14. Mu
    Python 3 code
    
    editor for
    learning
    https://codewith.mu
    

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15. Visualize
    
    Get live help
    pythontutor.com
    Philip Guo (UCSD Cognitive Science)
    

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16. @WillingCarol
    Learn
    Python is designed for your success.
    https://devguide.python.org/
    https://docs.python.org/
    https://python.org/
    

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17. Tools and Libraries
    

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18. Jupyter
    Notebook
    A Jupyter Notebook document with a visualization of measles data.
    

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19. @WillingCarol
    19
    

    JupyterLab: Integrated Experience
    

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20. @WillingCarol
    20
    Learning and computational ideas
    Usability
    
    
    Reproducibility
    
    
    Collaboration
    Prediction
    
    
    Recommendation
    
    
    Classification
    

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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
    

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22. Five years ago
    283,399
    
    
    notebooks on GitHub
    

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23. Today
    9,857,138
    
    
    notebooks on GitHub
    

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24. How did we get to almost
    
    
    10 million notebooks
    
    
    in 5 years?
    

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25. It started with
    
    
    communication,
    
    
    problem solving,
    
    
    passion, and
    
    
    simplicity
    

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28. @WillingCarol
    28
    

    Enabling
    Reproducible
    Science
    https://losc.ligo.org/about/
    

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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
    

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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
    

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31. Digital Humanities and Arts
    

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32. @WillingCarol
    32
    

    Enabling
    Open Data
    Journalism
    

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33. JupyterHub
    

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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
    

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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
    

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36. Community
    

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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
    

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38. DjangoGirls and PyLadies
    

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39. Community
    

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41. Tinkering
    and
    making
    

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42. Building
    helpful
    community
    

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43. ...a programming
    language created by a
    community fosters
    happiness in its users
    around the world.
    – Guido van Rossum
    

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44. @WillingCarol
    Learn
    Share
    Build
    

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45. @WillingCarol
    Choose a language
    designed for learning
    

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46. @WillingCarol
    Use
    
    
    learner-friendly
    
    
    tools
    

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47. @WillingCarol
    Encourage others
    and share
    

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48. @WillingCarol
    Immerse yourself
    

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49. Came for the language.
    
    
    Stayed for the community.
    Brett Cannon and
    
    
    Pythonistas
    
    
    around the world
    Credit: Kushal Das
    

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50. @WillingCarol 50
    Thank you
    

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51. Python
    
    Software
    
    Foundation
    

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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
    

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