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-0.3.3.2.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-0.3.3.2-cp38-cp38-manylinux2014_x86_64.whl (3.5 MB view details)

Uploaded CPython 3.8

File details

Details for the file libcalculus-0.3.3.2.tar.gz.

File metadata

  • Download URL: libcalculus-0.3.3.2.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-0.3.3.2.tar.gz
Algorithm Hash digest
SHA256 3883b9631c5894d58806b5684d4632514f851cafde5d842a23b9947c1a5f382b
MD5 9959c7d2656ee6e321a0392ab72aa285
BLAKE2b-256 3d2402bdaf92ce8691786961e23e696b51ec0e5ab7c1a2dc86bb48c1b34814c1

See more details on using hashes here.

File details

Details for the file libcalculus-0.3.3.2-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: libcalculus-0.3.3.2-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-0.3.3.2-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 457f09723fd343dee0586adc1c8472d9b9d97015aeac64b396681471252840e0
MD5 46fc79f33d8cf188b4ccf7fca66cc36c
BLAKE2b-256 b3dc1c0534eafe4487163e0d5ac61882f5e4137bd7da1ec2ab09c951fafd5ccb

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