Write the count_doubles function implementation in Rust, note that this is very similar to the Pure Python version except for:.Take Python and PyResult types from CPython into our lib scope. Version = "0.1 " features = Edit src/lib.rs Name = "pyext-myrustlib " version = "0.1.0 " authors = Having rust installed (recommended way is ) Rust is also available on Fedora and RHEL repositories by the rust-toolset Platform linux - Python 3.6.0, pytest-3.2.3, py-1.4.34, pluggy-0.4.īenchmark: 3.1.1 (defaults: timer=time.perf_counter disable_gc=False min_roun Let's say you have a Python function which does a string processing, take the following easy example of counting pairs of repeated chars, but have in mind that this example can be reproduced with other string processing functions or any other generally slow process in Python. However, you may face the rare case where a single function or module is taking too much time and is detected as the bottleneck of your project performance, often happens with string parsing and image processing. For most projects, this detail will not be very important. Yes, Python is known for being "slow" in some cases and the good news is that this doesn't really matter depending on your project goals and priorities. Pros: It is easy to write Rust functions and import from Python and as you will see by the benchmarks it worth in terms of performance.Ĭons: The distribution of your project/lib/framework will demand the Rust module to be compiled on the target system because of variation of environment and architecture, there will be a compiling stage which you don't have when installing Pure Python libraries, you can make it easier using rust-setuptools or using the MilkSnake to embed binary data in Python Wheels. NOTE: PyO3 is a fork of rust-cpython, comes with many improvements, but works only with the nightly version of Rust, so I prefered to use the stable for this post, anyway the examples here must work also with PyO3. See a complete reference list at the bottom of this article.įor this post, I am going to use Rust Cpython, it's the only one I have tested, it is compatible with stable version of Rust and found it straightforward to use. I can mention Milksnake created by Armin Ronacher (the creator of Flask) and also PyO3 The Rust bindings for Python interpreter. There is a bunch of Rust packages out there to help you extending Python with Rust. and, however, you can script a program in Rust using these languages. Rust is a language that, because it has no runtime, can be used to integrate with any runtime you can write a native extension in Rust that is called by a program node.js, or by a python program, or by a program in ruby, lua etc. Rust is a language that can usually detect, during compilation, the worst parallelism and memory management errors (such as accessing data on different threads without synchronization, or using data after they have been deallocated), but gives you a hatch escape in the case you really know what you're doing. Rust is a language that allows you to build high level abstractions, but without giving up low-level control - that is, control of how data is represented in memory, control of which threading model you want to use etc. The better description of Rust I heard from Elias (a member of the Rust Brazil Telegram Group). Why does it matter for a Python developer? Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety.ĭescription is taken from.
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