SparkSQL.jl
TypeDBClient.jl
SparkSQL.jl | TypeDBClient.jl | |
---|---|---|
1 | 1 | |
25 | 51 | |
- | - | |
4.4 | 1.8 | |
3 months ago | about 2 years ago | |
Julia | Julia | |
MIT License | MIT License |
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SparkSQL.jl
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Went from days to minutes by using Dask and Spark – what else should I know?
The Julia programming language would help speed up computation.
https://julialang.org/benchmarks/
You can use Julia with Apache Spark and Julia works with Python via PyCall. If you are working with tabular data the Julia SparkSQL.jl package lets you create Spark apps using just Julia and SQL:
https://github.com/propelledanalytics/SparkSQL.jl
Tutorials:
https://propelledanalytics.github.io/Tutorials/
TypeDBClient.jl
What are some alternatives?
BeautifulMakie - https://lazarusa.github.io/BeautifulMakie/
NumericalAlgorithms.jl - [DEPRECATED] Statistics & Numerical algorithms implemented in Julia.
Tumble.jl - lazy predictive modeling for julia
Starlight.jl - A greedy game engine for greedy programmers!
JuliaProgrammingForNervousBeginners - A course for people who are hesitant but curious about learning to write code in Julia.
OnlineStats.jl - ⚡ Single-pass algorithms for statistics
DynamicalBilliards.jl - An easy-to-use, modular, extendable and absurdly fast Julia package for dynamical billiards in two dimensions.