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Python Workshop II: Pandas for data analysis(no python basic)

This is a enhanced session of Aug 26th "Python Workshop I: Pandas for data analysis(with python basic)". You can find useful information from comments at previous event.

Many Thanks to On Deck Capital for hosting us and John Downs for sharing his experience with Pandas.

Speaker Bio:

John Downs is a software engineer at On Deck. He has been programming in Python for several years. John also has interests in Machine Learning and Data Mining.


Bring your favorite editor and python shell. Install pandas with 'pip install pandas'.


7-8: We'll dive into using Pandas to do some analysis and visualization directly.
8-9: We'll break into groups to give everyone a chance to apply the material from the talk.

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  • A former member
    A former member

    Hey! I know it's very very very late, but here is the notebook from this talk:


    1 · November 18, 2013

  • Shangxuan Vivian Z.

    Hi attendants, I felt bad for the fact that a few of you left early. Could you be kindly share your reason? Thanks!

    September 16, 2013

    • A former member
      A former member

      The reason that I left early is obvious: the talk was too advanced for my rudimentary Python skills.

      My plan was to expose myself to a professional caliber program in hopes that it would be within striking distance of my rudimentary skills, and I would thereby be lifted up; such strategy was wrong ... "the best laid plans of mice and men" ...

      I did indeed derive one benefit: I now know that there's alot more to Python than the elementary sites - Udacity, eg - would have the tyro believe.

      If you can recommend a more advanced online learning site, one that will raise my skills closer to what is required by a professional program, then please apprise me of such

      September 19, 2013

    • Karen B.

      You may want to jump in on this course­. It's only in wk 2. Starts at the beginning but gets complex quickly.

      October 28, 2013

  • André P.

    John: Any chance you could post a link to the notebook and/or Python code from the talk?

    September 18, 2013

  • Xu F.

    Wish that the code was shared online during the tutorial. I find it easier to follow that way, just like other R intro workshops.

    September 17, 2013

  • André P.

    Vivian, John:

    You know that I wasn't happy with the first Pandas talk, which turned out to be most entirely an introduction to Python. For your next talk(s), I would like to see the following items:
    - no Python; those who know nothing about Python belong in a different meetup before attending this one (and nothing can stop you from presenting such a Python-intro meetup just before it, if you think there is sufficient demand)
    - code to download a file
    - code to open a local file in comma-delimited, tab-delimited, JSON, Excel and SPSS formats
    - code to save a file locally in the above formats, where available
    - a short discussion of NumPy arrays and how to create them from Python objects, with iterators, and with random number generators
    - basic Pandas types: Series, TimeSeries, DataFrame, Panel; underlying Pandas/NumPy element types for int, float, string, datetime; handling of missing values
    - various methods of selecting subsets of rows and/or columns


    2 · September 15, 2013

    • Dev

      I second the 'no python intro' rule. With only 2 hours, focus should be on learning pandas, not python.

      September 16, 2013

    • A former member
      A former member

      I agree as well, focus should be on learning pandas

      September 16, 2013

  • Angus Vincent W.

    Unable to make it tonight, will there be another one.

    September 16, 2013

  • A former member
    A former member

    Looking forward to it!

    July 10, 2013

  • Paul A.

    I am currently wait listed for the first session, so if I make it to that one I can free up my slot for another person to this event.

    July 10, 2013

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