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Our project is dominated by I/O, and the bits that are CPU bound can be optimized using tools like numba (we do some serious math in parts of the code base). We actually did a performance comparison between Rust and Python for computation, and we ended up having comparable performance. Rust was 2-3x faster, but when we turned on parallelization, Python ended up being 2-3x faster than single-threaded Rust, and the effort involved was almost zero (didn't test parallel Rust).
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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The one advantage Rust has over Scala is that it detects data races at compile time, and that's a big time saver if you use low level thread synchronization. However, if you write pure FP code with ZIO or Cats Effect that's basically a non-issue anyway.
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The one advantage Rust has over Scala is that it detects data races at compile time, and that's a big time saver if you use low level thread synchronization. However, if you write pure FP code with ZIO or Cats Effect that's basically a non-issue anyway.
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I use pyright as my LSP in Neovim for Python code, so I just use mypy for static type checking within CI/CD and GitHub actions.
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I use pyright as my LSP in Neovim for Python code, so I just use mypy for static type checking within CI/CD and GitHub actions.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives