Hi, my name is ZJ. I love contributing to the open-source data science community. I mainly code in R and Julia with a dash of Python and a minimal amount of Scala thrown in.
| Project | Language | Notes |
|---|---|---|
{disk.frame} |
R | {disk.frame} https://diskframe.com is the most popular larger-than-RAM data manipulation framework in R. |
| SortingLab.jl | Julia | Some of the fastest sorting algorithms in Julia including faster String sorting and sortperm (i.e. R's order) algorithms |
| JDF.jl | Julia | A fast DataFrames serialization format and package. |
| ShortStrings.jl | Julia | A package that uses Integer (bits types) to store strings more efficiently. Great for sorting and group-by operations. It's been handed over to the JuliaString org. Note: you probably should be using InlineStrings.jl instead |
| TableScraper.jl | Julia | A simple scraper for well-formed tables from webapges |
| PkgVersionHelper.jl | Julia | A one function, upcheck(), package for checking if your Project.toml contains the most up-to-date packages |
| DataConvenience.jl | Julia | Some convenience functions for data manipulation and data related tasks |
| CuCountMap | Julia | Fast CUDA.jl based countmap of small types e.g. UInt8 |
| Parquet writer in Julia | Julia | I wrote the Parquet writer in pure Julia which was contributed back to Parquet.jl |
Other contriutions: I have also contributed a fast countmap in StatsBase.jl for small type.
| Platform | Handle/URL | Notes |
|---|---|---|
| @evalparse | ||
| daizj | ||
| Youtube | Data Science ZJ | |
| Baduk Go Weiqi Ratings | A ranking list of the professional Go player strengths estimated from the last 365 days of games | |
| Baduk Go Weiqi Ratings2 | A ranking list of the professional Go player strengths estimated from the last 365 days of games |
| Project | Language | Notes |
|---|---|---|
| JLBoost.jl | Julia | A pure Julia implementation of XGBoost-like boosting trees |
| ShinySky | R | A collection of Shiny widget. One of the earliest "popular" Shiny packages. |
| FastGroupBy | Julia | A fast group by functionality. I shared the ideas I had with the main developer of DataFrames.jl and DataFrames.jl were onto the same kind of ideas anyway, so they ended up optimizing the group-by. This makes it unnecesssary to keep maintaining the package. |
| Category | Notes |
|---|---|
| awesome-eda | Exploratory Data Analysis |
| awesome-ml-fraemworks | Machine Learning Framework |
| awesome-data-science-notebook-engines | Data Science notebooks like Jupyter |
| awesome-visual-flow-data-science | |
| awesome-markdown-table-editors | |
| awesome-big-medium-data-frameworks | |
| awesome-feature-engineering | |
| awesome-flow |