Data analysis in Python with pandas - Your pandas questions answered!

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This course includes

11.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

python pandas data analysis data science tutorial

Full Transcript

In this video, I'm answering a few of the pandas questions I've received in the YouTube comments: 0:18 When reading from a file, how do I read in only a subset of the columns or rows? 2:53 How do I iterate through a Series or a DataFrame? 4:24 How do I drop all non-numeric columns from a DataFrame? 6:03 How do I know whether I should pass an argument as a string or a list? SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool == RESOURCES == GitHub repository for the series: https://github.com/justmarkham/pandas-videos "read_csv" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html "iterrows" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.iterrows.html "select_dtypes" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.select_dtypes.html "describe" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html == LET'S CONNECT! == Newsletter: https://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ LinkedIn: https://www.linkedin.com/in/justmarkham/