Skip to main content

Optimizing compiler for evaluating mathematical expressions on CPUs and GPUs.

Project description

Aesara is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. It is built on top of NumPy. Aesara features:

  • tight integration with NumPy: a similar interface to NumPy’s. numpy.ndarrays are also used internally in Aesara-compiled functions.

  • efficient symbolic differentiation: Aesara can compute derivatives for functions of one or many inputs.

  • speed and stability optimizations: avoid nasty bugs when computing expressions such as log(1 + exp(x)) for large values of x.

  • dynamic C code generation: evaluate expressions faster.

  • extensive unit-testing and self-verification: includes tools for detecting and diagnosing bugs and/or potential problems.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aesara-nightly-2.8.2.dev20220824.tar.gz (7.4 MB view details)

Uploaded Source

File details

Details for the file aesara-nightly-2.8.2.dev20220824.tar.gz.

File metadata

File hashes

Hashes for aesara-nightly-2.8.2.dev20220824.tar.gz
Algorithm Hash digest
SHA256 14968101106a5a59d8410c0ed4f5a026d667a4e7de5f0cb2d5236045c3972428
MD5 42b9df52ce4ad3b4972fd4a75024bef8
BLAKE2b-256 27c68d35212c72a50d4c16ee6727e8e334635a139a54c55d28d5dbcc3ae091d9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page