-readit- no more looping to read multiple files into Stata is updated

[wbuchanan]

Brian Quistorff and I would like to announce an updated release of -readit-, a package designed to make working with multiple files and formats easy and performant. The package contains readit.ado, which allows you to no longer have to iterate over all the files and create Stata version files on disk. Now, you can just readit directly into memory...even if the files were created with different programs (e.g., Parquet, Feather, SAS, SPSS, HTML, Stata, CSV, etc...). The package also contains saveit.ado, which allows you to save datasets in many formats supported by Python's Panda package (e.g., Parquet, Feather, HTML, CSV, JSON, XLS). In fact, the two can be used together to allow one to save a dataset to a parquet file, and read it back with complete fidelity (all metadata and variable storage formats will be preserved). For more information, please see https://github.com/wbuchanan/readit/. A special thanks to Brian for his contribution cleaning up some of my code and for building out the saveit command.