Aleatory

Latest version: v0.2.0

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0.1.3

New Features 🚀

- 📣 functionality for Bessel and Squared Bessel processes with non-integer dimension and non-zero initial point.

- 🎨 charts functionality for vertical orientation of the marginal plots.


Other Changes

- 🪲 Bug fixed: failing histogram with small number (n<=3) of paths. Issue 4 kindly opened on Sep 11 by [alexhrubin](https://github.com/quantgirluk/aleatory/issues?q=is%3Aissue+is%3Aopen+author%3Aalexhrubin).

- 👩🏽‍🔧More thorough testing for Bessel processes which will be extended for all the processes in next iterations.

0.1.2

Changes

- New Feature 🚀: added functionality for Bessel and Squared Bessel processes with integer dimension.
- Charts Improvement 🎨: legends and titles now are in LaTex format for a nicer typography.

0.1.1

Changes

- Fixed a bug 🪲in the implementation of `marginal_expectation` for some processes.
- New feature 🚀 added which allows to customise the title of the plots produced by functions `plot` and `draw`. Both now have an extra argument `title` which gets the string that will be used as title. Note that this would default to the name of the process if none is passed.

0.1.0

The aleatory (/ˈeɪliətəri/) Python library provides functionality for simulating and visualising stochastic processes.

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