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Title: GitHub - santoshnikam1990/python: Jupyter notebooks and datasets for the interesting pandas/python/data science video series.

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Pandas Tutorial : How to split columns of dataframehttps://www.youtube.com/watch?v=cCoGsFVPVh0&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
Pandas Tutorial : How to split dataframe by string or datehttps://www.youtube.com/watch?v=7sgDvC4k6Xg&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
Easily extract tables from websites with pandas and pythonhttps://www.youtube.com/watch?v=OXA_ZD1gR6A&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
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Extract tabular data from PDF with Python - Tabula, Camelot, PyPDF2https://www.youtube.com/watch?v=702lkQbZx50&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
Pandas is column part of another column in the same row of dataframehttps://www.youtube.com/watch?v=duOHHDqI40c&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
Load multiple CSV files into a single Dataframehttps://www.youtube.com/watch?v=30ndwJm1I5c&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
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dataframe column transformations ( str, int, category, concat)https://www.youtube.com/watch?v=5pbRivDYzko&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
Pandas DataFrame generate n-level hierarchical JSONhttps://www.youtube.com/watch?v=lCcE-0bykRU&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
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Pandas count values in a column of type listhttps://www.youtube.com/watch?v=lx7KFd6BPcg&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
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Pandas count and percentage by value for a columnhttps://www.youtube.com/watch?v=P5pxJkv71BU&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
Pandas use a list of values to select rows from a columnhttps://www.youtube.com/watch?v=jlSbo5wmTPQ&list=PLeicpQTG639FTJ-daMp7YWmQLBH3zumXv
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Pandas is column part of another column in the same row of dataframehttps://www.youtube.com/watch?v=duOHHDqI40c&list=PLeicpQTG639HMut5w0WfLz684cSCMBD4C
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Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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URLs of crawlers that visited me.