[TriPython] TriPython October 2018 Meeting: Dplyr-Style Data Manipulation With Pandas

[Calloway, Chris]

We will have a world-renowned R expert with us this month to show us what R dataframe handling can teach us about Python dataframe handling with pandas.

http://tripython.org/Members/cbc/oct-18-mtg

When: Thursday, October 25, 7-9pm
Where: Renaissance Computing Institute (RENCI)<http://www.renci.org/about/locations/>, Biltmore Conference Room, 5th Floor, Europa Center, Suite 590, 100 Europa Drive, Chapel Hill
What: In this talk, Ian Cook will discuss how to apply the tenets of R's dplyr package (immutability, chaining, consistency, parsimony) when working with Python's pandas library. In the R community, dplyr is the most widely used data manipulation package. dplyr provides a small, consistent set set of "verbs" (functions) that you can use to perform most common operations on R data frames. You can chain together these verbs to perform a series of operations on a data frame. dplyr treats data frames as immutable objects, returning manipulated copies instead of mutating them in place. In the Python community, pandas is the most widely used data manipulation library. pandas does not prescribe one right way to manipulate DataFrames; it enables several different styles. Ian will show how to apply the dplyr style when you're working with pandas, and we'll discuss the benefits, challenges, and alternatives. Ian Cook is a data scientist at Cloudera. Ian is a long-time R user and an author of and contributor to several R packages; he is newer to Python. Ian lives in Carrboro and is a cofounder of the local Research Triangle Analysts group. Ian has degrees in Statistics from Lehigh University and Stony Brook University. Extemporaneous "lightning talks" of 5-10 minute duration are also welcome and don't need to be pre-announced. Lightning talks are for you to "show and tell" something you've learned about Python recently, no matter how small. We all use Python, therefore, we are always learning something new about Python that we can tell others. Plenty of free parking is available in the RENCI parking deck. The meeting will be followed by our usual after-meeting at a nearby tavern for food and beverage. Come join us for a fun and informative evening.

--
Sincerely,

Chris Calloway
Applications Analyst
University of North Carolina
Renaissance Computing Institute
(919) 599-3530

-------------- next part --------------
   We will have a world-renowned R expert with us this month to show us what
   R dataframe handling can teach us about Python dataframe handling with
   pandas.



   [1]http://tripython.org/Members/cbc/oct-18-mtg



   When: Thursday, October 25, 7-9pm

   Where: [2]Renaissance Computing Institute (RENCI), Biltmore Conference
   Room, 5th Floor, Europa Center, Suite 590, 100 Europa Drive, Chapel Hill

   What: In this talk, Ian Cook will discuss how to apply the tenets of R's
   dplyr package (immutability, chaining, consistency, parsimony) when
   working with Python's pandas library. In the R community, dplyr is the
   most widely used data manipulation package. dplyr provides a small,
   consistent set set of "verbs" (functions) that you can use to perform most
   common operations on R data frames. You can chain together these verbs to
   perform a series of operations on a data frame. dplyr treats data frames
   as immutable objects, returning manipulated copies instead of mutating
   them in place. In the Python community, pandas is the most widely used
   data manipulation library. pandas does not prescribe one right way to
   manipulate DataFrames; it enables several different styles. Ian will show
   how to apply the dplyr style when you're working with pandas, and we'll
   discuss the benefits, challenges, and alternatives. Ian Cook is a data
   scientist at Cloudera. Ian is a long-time R user and an author of and
   contributor to several R packages; he is newer to Python. Ian lives in
   Carrboro and is a cofounder of the local Research Triangle Analysts group.
   Ian has degrees in Statistics from Lehigh University and Stony Brook
   University. Extemporaneous "lightning talks" of 5-10 minute duration are
   also welcome and don't need to be pre-announced. Lightning talks are for
   you to "show and tell" something you've learned about Python recently, no
   matter how small. We all use Python, therefore, we are always learning
   something new about Python that we can tell others. Plenty of free parking
   is available in the RENCI parking deck. The meeting will be followed by
   our usual after-meeting at a nearby tavern for food and beverage. Come
   join us for a fun and informative evening.



   --

   Sincerely,



   Chris Calloway

   Applications Analyst

   University of North Carolina

   Renaissance Computing Institute

   (919) 599-3530



References

   Visible links
   1. http://tripython.org/Members/cbc/oct-18-mtg
   2. http://www.renci.org/about/locations/