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@zuphilip
zuphilip / FT50.csv
Created December 28, 2020 11:17
Journal list
ISSN Title
0165-4101 Journal of Accounting and Economics
0021-8456 Journal of Accounting Research
0001-4826 The Accounting Review
0022-1082 Journal of Finance
0304-405X Journal of Financial Economics
0893-9454 Review of Financial Studies
1047-7047 Information Systems Research
0276-7783 MIS Quarterly
0001-4273 Academy of Management Journal
@conormm
conormm / r-to-python-data-wrangling-basics.md
Last active June 26, 2024 07:56
R to Python: Data wrangling with dplyr and pandas

R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier. The beauty of dplyr is that, by design, the options available are limited. Specifically, a set of key verbs form the core of the package. Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe. Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R. The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).

dplyr is organised around six key verbs: