Skip to main content

Real/Complex analysis library for Python 3.

Project description

libcalculus: A comprehensive real and complex analysis library for Python

pipeline status

libcalculus is fully written in C++ and Cython for bindings to Python; all numeric calculations take place in C++ and take full advantage of SIMD vectorization and OpenMP threading wherever available.

Features

  • Functional programming approach to analysis in Python
  • Numeric integration and differentiation of real and complex functions
  • Full integration with NumPy: functions support array inputs
  • LaTeX support: every function object has a .latex() that produces its LaTeX markup

Technology

libcalculus is written in C++20 and bound to Python via Cython; operations between functions are performed using C++ lambdas, and all calculations happen at the C++ level, with Python only interfacing methods and results.

Installation

libcalculus can be installed from pip:

pip install libcalculus

Examples

Here is a snippet demonstrating some of the library's features:

>>> import libcalculus, numpy as np
>>> f = libcalculus.csc @ (1 / libcalculus.identity)
>>> f(1 + 2j)
(1.0316491868272164+1.9336686363989997j)
>>> libcalculus.residue(f, 0, tol=1e-4)
(0.16666666639893526-8.181230860681676e-06j)

>>> print(f.latex("z"))
\csc\left( \frac{1}{z}\right)

>>> contour = libcalculus.line(2, 1 + 1j) # 2(1 - t) + (1 + 1i)t
>>> libcalculus.integrate(f, contour, 0, 1) # integrate along the contour between t=0 and t=1
(-2.0551412843830605+1.1351565349386723j)

>>> libcalculus.threads(4) # Enable threading
>>> arr = np.array([[1, 2j, 3], [4 + 1j, 5 + 2j, 7 + 3j]])
>>> print(f(arr))
[[ 1.18839511+0.j         -0.        +1.91903475j  3.05628425+0.j        ]
 [ 4.03942207+0.99000843j  5.02878731+1.98839211j  7.02013025+2.99133798j]]

License

Copyright (c) 2022, Ariel Terkeltoub All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright
   notice, this list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above
   copyright notice, this list of conditions and the following
   disclaimer in the documentation and/or other materials provided
   with the distribution.

* Neither the name of the libcalculus developers nor the names of any
   contributors may be used to endorse or promote products derived
   from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE

Project details


Download files

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

Source Distribution

libcalculus-0.3.3.tar.gz (269.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

libcalculus-0.3.3-cp38-cp38-manylinux2014_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.8

File details

Details for the file libcalculus-0.3.3.tar.gz.

File metadata

  • Download URL: libcalculus-0.3.3.tar.gz
  • Upload date:
  • Size: 269.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.46.1 importlib-metadata/4.11.2 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for libcalculus-0.3.3.tar.gz
Algorithm Hash digest
SHA256 5d7613fd2f20b1e810c2f980d065025b3f6da334cc03596853bd4b8374e9101b
MD5 c57f89c44e88bdeecc95642ef190f97a
BLAKE2b-256 ec06f3f56eb1c40865df189d5c157c3d7f570406a139b15b71c6c3bd15f8bf40

See more details on using hashes here.

File details

Details for the file libcalculus-0.3.3-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: libcalculus-0.3.3-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 3.5 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/33.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.46.1 importlib-metadata/4.11.2 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for libcalculus-0.3.3-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a75efdfc52f7e44f05b9a1517fa05a6dfd5f862ef1ddac6d651ea43e46308354
MD5 e1acc8b0dd91bf76f246eac192503f2e
BLAKE2b-256 e912dbc8a1c481d37daf4a623d1c5cf76b98d982603b21ac5443dacff6113025

See more details on using hashes here.

Supported by

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