ScalikeJDBC
PyCall.jl
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| ScalikeJDBC | PyCall.jl | |
|---|---|---|
| 4 | 28 | |
| 1,255 | 1,437 | |
| 0.2% | 1.1% | |
| 8.9 | 6.1 | |
| 2 days ago | about 1 month ago | |
| Scala | Julia | |
| Apache License 2.0 | MIT License |
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ScalikeJDBC
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What are the possible ways to connect with MYSQL using scala
You can also try http://scalikejdbc.org which is my personal favorite.
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Scala 3 RDBMS Libraries
Maybe not what you're looking for but ScalikeJDBC is published for Scala 3 since version 4.0.0.
- Query DSL in Scala 3
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From First Principles: Why Scala?
I have had poor experiences with "fancy" SQL libraries in multiple languages when I go past basic operations. This includes Slick and Quill in Scala.
I don't remember what the problems were with Slick that leave such a bad feeling when I hear its name -- that was 5 years ago -- but I had problems with Quill just last year. I was trying to use it to generate an efficient "in" query against a two column composite primary key, and nothing seemed to work. Since it uses macro magic, one of my attempts triggered an internal compiler error instead of normal compiler feedback.
I ended up dropping Quill for ScalikeJDBC:
It seems to be less popular/active than other libraries, but it is dead simple to use, even for developers new to Scala. I write exactly the SQL I want just like I would in psql. There is little-to-no magic [1]. I think that the only slightly magical feature I use is ensure that variable interpolation into SQL ("SQLInterpolation") prevents injection attacks.
[1] It actually has capabilities to automatically map tables/columns into different structures and generate code for you, but my team doesn't use any of that. We just write SQL.
PyCall.jl
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I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
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Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
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I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
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Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
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Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3
What are some alternatives?
Slick - Slick (Scala Language Integrated Connection Kit) is a modern database query and access library for Scala
py2many - Transpiler of Python to many other languages
doobie - Functional JDBC layer for Scala.
julia - The Julia Programming Language
Quill - Compile-time Language Integrated Queries for Scala
Revise.jl - Automatically update function definitions in a running Julia session
Anorm - The Anorm database library
Genie.jl - 🧞The highly productive Julia web framework
Squeryl - A Scala DSL for talking with databases with minimum verbosity and maximum type safety
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
AnormCypher - Neo4j Scala library based on Anorm in the Play Framework
are-we-fast-yet - Are We Fast Yet? Comparing Language Implementations with Objects, Closures, and Arrays