Numba Reviews and details

Social recommendations and mentions

• Gravitational Collapse of Spongebob

  I believe it is using Numba which converts to machine code. https://numba.pydata.org/. - Source: Hacker News / about 1 month ago

• Mojo🔥: Head -to-Head with Python and Numba

  Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code. - Source: dev.to / 7 months ago

• Mojo: The usability of Python with the performance of C

  Or you use numba [1]. Then you can use a subset of plain Python. [1] https://numba.pydata.org/. - Source: Hacker News / 7 months ago

• Is anyone using PyPy for real work?

  Simulations are, at least in my experience, numba’s [0] wheelhouse. [0]: https://numba.pydata.org/. - Source: Hacker News / 9 months ago

• Any data folks coding C++ and Java? If so, why did you leave Python?

  That's very cool. Numba introduces just-in-time compilation to Python via decorators and its sole reason for being is to turn everything it can into abstract syntax trees. Source: 10 months ago

• Python Algotrading with Machine Learning

  A super-fast backtesting engine built in NumPy and accelerated with Numba. - Source: dev.to / 11 months ago

• PYTHON vs OCTAVE for Matlab alternative

  Regarding speed, I don't agree this is a good argument against Python. For example, it seems no one here has yet mentioned numba, a Python JIT compiler. With a simple decorator you can compile a function to machine code with speeds on par with C. Numba also allows you to easily write cuda kernels for GPU computation. I've never had to drop down to writing C or C++ to write fast and performant Python code that does... Source: 11 months ago

• Codon: Python Compiler

  Just for reference, * Nuitka[0] "is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11." * Pypy[1] "is a replacement for CPython" with builtin optimizations such as on the fly JIT compiles. * Cython[2] "is an optimising static compiler for both the Python programming language and the extended Cython programming language... Makes writing C... - Source: Hacker News / 12 months ago

• This new programming language has the potential to make python (the dominant language for AI) run 35,000X faster.

  For the benefit of future readers: https://numba.pydata.org/. Source: 12 months ago

• python to rust migration

  You should profile your consumer to check the bottlenecks. You can use the excellent py-spy(written in Rust). IMO a few usage of Numba there and there should solve your performance issues. Source: about 1 year ago

• Two-tier programming language

  Taichi (similar to numba) is a python library that allows you to write high speed code within python. So your program consists of slow python that gets interpreted regularly, and fast python (fully type annotated and restricted to a subset of the language) that gets parallellized and jitted for CPU or GPU. And you can mix the two within the same source file. Source: about 1 year ago

• Been using Python for 3 years, never used a Class.

  There are also just-in-time compilers available for some Python features, that compile those parts to machine code. That includes Numba (usable as a library within CPython) and Pypy (an alternative Python implementation that includes a JIT compiler to improve performance). There’s also Cython, which is a superset of Python that allows more directly interfacing with C and C++ functions, and compiling the resulting... Source: about 1 year ago

• Is there a language with lisp syntax but C semantics?

  This was a submission from u/bpecsek and shows that lisp with sbcl can do quite well on bench-marking. But keep in mind that these sort of benchmarks can't tell you much about real world applications. Moreover if you are really concerned about niche performance you need to start thinking about compilers. Heck with an appropriate compiler even python can go wrooom. Source: about 1 year ago

• Python Developer Seeking Input: Is it Worth Learning Rust for FFI?

  - if no purpose built libraries are faster, use numba (http://numba.pydata.org/) to speed up your code. Optionally you can also use Taichi (https://www.taichi-lang.org/) instead of numba. Source: about 1 year ago

• A backtester idea

  The heavy part in backtest is calculations. And they are done in pandas which is partially written in c. Also, we can use numba: https://numba.pydata.org/. Source: about 1 year ago

• #01 Benchmark of four JIT Backends

  The participants are also shown in the cover image, which are : Numba, JAX, Tensorflow, Triton. - Source: dev.to / about 1 year ago

• 40x Faster! We rewrote our project with Rust!

  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... Source: about 1 year ago

• Inserting 1.1M rows/s from Pandas into QuestDB with Arrow, Rust & Cython

  You can also check out the Numba Python package that can sometimes help with some things: https://numba.pydata.org/. For example, I use it to implement a Numpy ufunc in the benchmark to generate a bounded random walk which would would be quite slow to do otherwise in pure Python for 10M rows:... Source: over 1 year ago

• Can C/C++ do anything that Python can't?

  B. Just-in-time compilers can take advantage of specialized instructions on CPUs that static compilers traditionally used by C cannot and as such there are situations where python is more performant than C. Source: over 1 year ago

• What Are the True Innovations of Lisp?

  As the sibling noted, Python has a built-in AST parser [1] which I believe (not 100% sure) is used in libraries like Numba to JIT Python functions [2]. But fundamentally, the difference between built-in and provided as a library is not really as wide as it once was. Rust libraries use a third-party library for parsing code for procedural macros [3] which is pretty pervasive, and as I noted libclang for C++ is a... - Source: Hacker News / over 1 year ago

• The job description of this unpaid internship is insane

  Numba exists and is used for optimizing python code. Source: over 1 year ago