Data analysis in Python with pandas




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Wes McKinney
The tutorial will give a hands-on introduction to manipulating and analyzing large and small structured data sets in Python using the pandas library. While the focus will be on learning the nuts and bolts of the library’s features, I als

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Comment List

  • Next Day Video
    January 10, 2021

    woow

  • Next Day Video
    January 10, 2021

    how can i apply complex 2nd order differential equation to python dataframe to create column bsed on it

  • Next Day Video
    January 10, 2021

    hands-on
    51:30 Series
    57:50 Dataframe

  • Next Day Video
    January 10, 2021

    watching in 2020 and still the best for intermediate level, awesome

  • Next Day Video
    January 10, 2021

    This is Wes McKinney the man who invented Pandas.

  • Next Day Video
    January 10, 2021

    Great talk at that time in 2012, in parts outdated now in 2019 but nevertheless interesting to watch history.

  • Next Day Video
    January 10, 2021

    The time take by lambda is faster than apply… at 2:19:50

    Transform did 10 loops at 46ms which is 460 ms
    Apply did 100 loops at 15ms which is 1500ms
    No, BOOOO!! It is faster…

  • Next Day Video
    January 10, 2021

    3:02:32 why not just use pd.to_frame() to convert series into df?

  • Next Day Video
    January 10, 2021

    Group by examples start from
    https://youtu.be/w26x-z-BdWQ?t=1h36m59s

  • Next Day Video
    January 10, 2021

    Thanks for such great video. Kindly share the zip file you have used for the lecture.

  • Next Day Video
    January 10, 2021

    Even this was 5 years ago,  I would not pay to go to Pycon when you have instructors that are NOT prepared for there tutorial / lecture.   Also is paying all that money to see lame slides and no coding being done.

  • Next Day Video
    January 10, 2021

    http://ow.ly/9w920 This link isn't working now.how can I get the files

  • Next Day Video
    January 10, 2021

    Good day all, i am a post graduate student working on "Detecting and preventing SQL injection attack on a database using machine learning approach". My Major challenge right now is generating the dataset and how to write the appropriate code in Python, i will be highly grateful if any one can help me out in generating the python code to do that, thanks alot.

  • Next Day Video
    January 10, 2021

    at 2:14:05 I have it as written in the tutorial:

    boys['year_rank'] = grouped.transform(pd.Series.rank)

    but this triggers a warning to use the .loc method with a link to this documentation http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy I generally understand the idea, that it is creating it from a copy which may not be accurate in memory.. but.. how do I add the rank column to the dataframe using the .loc method? thanks

  • Next Day Video
    January 10, 2021

    I nearly run out of patience, you only see the codes at 47:59!

  • Next Day Video
    January 10, 2021

    how to enable or activate the methods to popup based on the python objects i use in the IPython notebook. Whenever i use python objects and access enter ., no methods list or autocompletes.

  • Next Day Video
    January 10, 2021

    If you know the theory and want go straight to the fun : @ 47:57

  • Next Day Video
    January 10, 2021

    Applying functions to axis labels for GroupBy just melted my brain

  • Next Day Video
    January 10, 2021

    20:17 for the actual presentation

  • Next Day Video
    January 10, 2021

    Simply, it's a good tutorial for beginners !
    Be patient, and watch all the video by doing what Wes does ..

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