Pandas equivalent library

General Usage
21

There are plenty of Julia books, and the main author of DataFrames.jl has at least two, here’s a relevant one:

He also has free tutorials here:

and writes frequently on this on the Julia blog.

1 Like
22

I got started with Julia from The Dabbling Doggo. His beginners’ playlist is fire.

2 Likes
23

A lot of work has happened in TSFrames.jl and it supports a lot of important functionality for handling timeseries data already. Work is going on to build more features and improving existing interfaces. Things which already work:

  1. Support for heterogenuous data types in columns.
  2. Frequency conversion/downsampling.
  3. R zoo/xts like applying a method over a period.
  4. Rolling functions over date time periods.
  5. Multi-table joins.
  6. Tables.jl interfaces to support seamless conversion of tabular data from other sources (CSV, etc.).

Because TSFrames uses a DataFrame to store the data, a TSFrame object can access the underlying DataFrame using the coredata property to enable any other complex data manipulations.

3 Likes
24

Someone mentioned upsampling above. There is the resample function from DSP.jl package.

1 Like
25

*straightforward.
thank you for all the responses.

as a matter of interest, i’m curious if anyone knows any benchmark comparisons between q / kdp+ and Julia?

26

Since you can’t publicly share q/kdb+ benchmark without getting permission first(which says quite a lot) so probably not. kdb+ is a database so you can’t compare it with Julia either. And don’t be bothered with Julia vs q. Julia is plenty fast.

27

FYI, TSFrames.jl has a couple of guides which you might find useful apart from the package README.md which shows basic functionality.