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Introduction to Pandas

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Title
Introduction to Pandas
Subtitle
Introduction to the open source data analysis and manipulation library
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611
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CC Attribution 2.0 Belgium:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2017

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Abstract
This talk will be based on open source data manipulation and analysis pythonlibrary – Pandas. It will mainly focus on exploring the most commonly usedfeatures of the library like – integrated indexing using DataFrame objects,slicing and subsetting of large data sets, merging, joining and sizemutability of data structures, hierarchical axis indexing to work with high-dimensional data in a lower-dimensional data, flexible reshaping and pivotingof data sets etc.