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Specialities
jreback edited this page Sep 21, 2014
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This page aims to list the various areas of pandas and the users whom have particular expertise.
The purpose is to allow the appropriate users to be 'cc-d' as needed in an easy manner. This is in no particular order, nor meant to highlite anyone, merely to make referring to issues easier. It mainly comes from whom has contributed to particular issues in the recent past.
If you are not included and think you should be / need changing / updating. Pls update. This is especially important for non-core devs as this is generally the only way to see new issues (unless you are watching the entire repo).
- JSON
- @Komnomnomnom
- Stata
- @bashtage
- HTML
- @cpcloud
- Excel
- @neirbowj
- @jtratner
- CSV Parsers
- @amras1
- Latex
- @hayd
- @shoyer
- SQL
- @jorisvandenbossche
- @danielballan
- @hayd
- @mangecoeur
- @artemyk
- HDF5 / PyTables
- @jreback
- Timezone Fun
- @rockg
- @ischwabacher
- @adamgreenhall
- Offsets
- @bjonen
- @cancan101
- tseries.Holidays
- @rockg
- @MichaelWS
- @cancan101
- Numeric / Algos
- @seth-p
- @behzadnouri
- @jaimefrio
- Docs
- @jorisvandenbossche
- Visualization
- @sinhrks
- @TomAugspurger
- @shoyer
- @onesandzeroes
- Performance
- @immerrr
- @jreback
- @bjonen
- Output Formatting
- @onesandzeroes
- @bjonen
- Internals
- @jreback
- @cpcloud
- @jorisvandenbossche
- @immerrr
- @shoyer
- Categorical
- @JanSchulz
- Groupby
- @hayd
- @jreback
- Indexing
- @immerrr
- @jreback
- Reshaping
- @hayd
- @TomAugspurger
- @sinhrks
- replace
- @cpcloud
- interpolate
- @TomAugspurger
- Index/Series
- @sinhrks
- @jreback
- @shoyer