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Helping you deploy with confidence, ship higher quality code, and speed up your application.
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Faster floating point math with Rust's new API
Floating point math is often slower than integer math because the compiler is being conservative about how it optimizes your code. While some programming languages already had solutions of a sort, until now Rust did not have a good stable way to deal with
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8 faster binary search: from compiled code to mechanical sympathy
How do you speed up computational Python code? A common, and useful, starting point is: Pick a good algorithm. Use a compiled language to write a Python extension. Maybe add parallelism so you can use multiple CPU cores. But what if you need more speed? C
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Timesliced reservoir sampling: a new(?) algorithm for profilers
Imagine you are processing a stream of events, of unknown length. It could end in 3 seconds, it could run for 3 months; you simply don't know. As a result, storing the whole stream in memory or even on disk is not acceptable, but you still need to extract
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Unit testing your code's performance, part 2: Catching speed changes
In a previous post I talked about unit testing for speed, and in particular testing for big-O scalability . The next step is catching cases where you've changed not the scalability, but the direct efficiency of your code. If your first thought is "how thi
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The best Docker base image for your Python application (February 2026)
When you're building a Docker image for your Python application, you're building on top of an existing image-and there are many possible choices for the resulting container. There are OS images like Ubuntu, and there are the many different variants of the
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