Project description

Ambit-Stochastics

A repository dedicated to the study of Ambit fields and Trawl processes

The Trawl processes example usage and Simple ambit field example usage jupyter notebooks in the root folder explains the functionality of the library. The full documentation is available at https://danleonte.github.io/Ambit_Stochastics/index.html

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

1.0.7

Oct 9, 2023

1.0.6

Aug 29, 2023

1.0.5

Sep 15, 2022

1.0.4

Mar 15, 2022

1.0.3

Jan 19, 2022

This version

1.0.2

Jan 18, 2022

1.0.1

Jan 18, 2022

1.0.0

Jan 18, 2022

Download files

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

Source Distribution

Ambit Stochastics-1.0.2.tar.gz (13.6 kB view hashes)

Uploaded Jan 18, 2022 Source

Built Distribution

Ambit_Stochastics-1.0.2-py3-none-any.whl (16.5 kB view hashes)

Uploaded Jan 18, 2022 Python 3

Hashes for Ambit Stochastics-1.0.2.tar.gz

Hashes for Ambit Stochastics-1.0.2.tar.gz
Algorithm	Hash digest
SHA256	`57f2889599c30d1c4648b092a5096d5893eb4884b1ed8bfeaf605b43bb9e1d17`
MD5	`3ab1ad787fb1be57a83e12eb48f7beaf`
BLAKE2b-256	`1373886b5822683ed2d4fed863762e1fd7100d22c26b49e07ef8e0ebeaccf194`

Hashes for Ambit_Stochastics-1.0.2-py3-none-any.whl

Hashes for Ambit_Stochastics-1.0.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`57f7b003a0cd2774ba00571e4cbfa250f6220ab27d5d778f154a10ec4d7d1d63`
MD5	`36ac3d57cb323e086bcf6ba34b065262`
BLAKE2b-256	`766e1022e45baf5138bba66c5df11dec29cba08cd93f276156a65872b43e6953`