Data Science on Your iPad

The iPad is way more than just a fancy content consumption device with a big screen.
If utilized in the right way, it can become an indispensable creative tool, which could turn a boring daily commute into an active learning or productivity session. In this presentation, I wanted to share some of my experience using an iPad to run data science experiments on the go. In particular, I have listed a few of the applications I have found to be useful. I know from first hand that directly searching for those on the App Store could be a challenge, so I hope that my small contribution would help give others a bit of a head start.

Transcript

1. Data Science on Your
   iPad
   Preslav Rachev
   @preslavrachev (https://preslav.me), 2018
   

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2. Opening Notes
   • This is not going to be an in-depth technical talk
   • I will share my experience with a few iOS apps.
   • most of which paid (because they deserve it)
   • but I'm not affiliated with their sales in any way
   • I'm just a happy customer!
   @preslavrachev (https://preslav.me), 2018
   

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3. Why the iPad?
   • The iPad may no no longer be the latest cool gadget
   • But a serious form factor, used by more and more
   professionals
   • Lightweight
   • Versatile
   • Always-On
   • Less multitasking => less distraction / more immersion
   @preslavrachev (https://preslav.me), 2018
   

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4. We spend so much
   time commuting, or
   in some form of
   travel
   We might as well use it
   for something creative
   StarSceptre: The iOS game that was
   coded entirely on an iPad
   !
   @preslavrachev (https://preslav.me), 2018
   

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5. Coding on an iPad?
   @preslavrachev (https://preslav.me), 2018
   

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6. Coding on an iPad1
   App Name Languages
   Pythonista 3 Python 2/3
   Codea Lua
   Continuous C# / F# .NET
   iRstudio R
   Analyser Python
   Playgrounds Swift
   NOTE: In 2017, Apple allowed the sharing and downloading of executable code on iOS
   devices, for teaching, learning and personal development purposes.
   1 Links to all apps listed, are provided at the end of the slideshow
   @preslavrachev (https://preslav.me), 2018
   

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7. Pythonista
   @preslavrachev (https://preslav.me), 2018
   

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8. Pythonista
   • Fully featured support for both
   Python 2 and Python 3
   • Excellent documentation, keyboard
   extensions, and code completion
   • Has an integrated debugger, a
   property inspector, and its own
   REPL-like console
   • Provides extensions for writing GUIs
   and communication with other apps
   on your device
   @preslavrachev (https://preslav.me), 2018
   

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9. https://youtu.be/UYIZlqQPusw
   @preslavrachev (https://preslav.me), 2018
   

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10. Pythonista
    • Comes pre-packed with a ton of
    libraries we love and use every day
    • NumPy, Matplotlib, Requests,
    BeatufulSoup, etc
    • Yet lacks some of our favourites, due
    to Apple's restrictions2:
    • Pandas, SciPy, Scikit-Learn, and
    unfortunately, TensorFlow
    2 I remain optimistic that we will see many of those included in future releases
    of the app
    @preslavrachev (https://preslav.me), 2018
    

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11. Pythonista
    • Is great for quickly scrapping ideas, and doing exploratory
    data analysis.3
    • Is absolutely indispensable when learning new concepts.
    • be those Python, or math / science-related.
    • The added GUI and extension capabilities allow for creating
    entire iOS applications using Python
    3 I am running most of my early-stage exploratory analysis on cryptocurrency pricing directly in Pythonista
    @preslavrachev (https://preslav.me), 2018
    

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12. @preslavrachev (https://preslav.me), 2018
    

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13. https://youtu.be/a7QcX4Ke3Hc
    @preslavrachev (https://preslav.me), 2018
    

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14. What about Jupyter?
    @preslavrachev (https://preslav.me), 2018
    

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15. Jupyter is the best but...
    @preslavrachev (https://preslav.me), 2018
    

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16. ...is not really made for a mobile/tablet browser
    @preslavrachev (https://preslav.me), 2018
    

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17. I wish, there were a native app
    that could bring Jupyter to the
    mobile world
    @preslavrachev (https://preslav.me), 2018
    

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18. A word about Computable
    Now completely open-source.
    @preslavrachev (https://preslav.me), 2018
    

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19. Juno to the rescue!
    @preslavrachev (https://preslav.me), 2018
    

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20. Juno
    Juno is a slick, brand new, native iOS
    client for working with Jupyter
    Notebook and JupyterLab instances.
    Will easily connect to your self-hosted
    Jupyter server, or to a cloud-provided
    Jupyter VM (e.g. Azure, CoCalc, and
    many more coming soon)
    Supports Binder.
    @preslavrachev (https://preslav.me), 2018
    

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21. https://youtu.be/6QNFi4EIz6U
    @preslavrachev (https://preslav.me), 2018
    

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22. Other notable apps
    Purpose Apps
    Taking Notes and
    Documenting
    Quiver, iAWriter, Bear,
    FSNotes
    Source Control Working Copy
    SSH and Terminal Emulation Termius, Prompt
    @preslavrachev (https://preslav.me), 2018
    

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23. Thank You!
    @preslavrachev (https://preslav.me), 2018
    

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24. App Links (1/2)
    Pythonista 3
    Codea
    Continuous
    iRstudioAnalyser
    Playgrounds
    Juno
    Computable
    @preslavrachev (https://preslav.me), 2018
    

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25. App Links (2/2)
    Quiver
    iAWriter
    Bear
    FSNotes
    Working Copy
    Termius
    Prompt
    @preslavrachev (https://preslav.me), 2018
    

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