empyricalrmt

Eigenvalue unfolding and spectral observable computation

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

A python library for Random Matrix Theory eigenvalue unfolding and computation and plotting of spectral observables.

Project details

These details have not been verified by PyPI

Project links

Homepage

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

1.1.1

Sep 26, 2022

1.1.0

Sep 22, 2022

1.0.0

Sep 15, 2022

0.5.0

Sep 10, 2022

0.4.1

May 11, 2020

0.4.0

Mar 25, 2020

0.3.dev1 pre-release

Mar 11, 2020

0.3.dev0 pre-release

Mar 11, 2020

0.2.dev4 pre-release

Mar 10, 2020

0.2.dev0 pre-release

Mar 10, 2020

This version

0.1.dev0 pre-release

Aug 19, 2019

Download files

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

Source Distribution

empyricalRMT-0.1.dev0.tar.gz (3.6 kB view hashes)

Uploaded Aug 19, 2019 Source

Built Distribution

empyricalRMT-0.1.dev0-py3-none-any.whl (4.8 kB view hashes)

Uploaded Aug 19, 2019 Python 3

Hashes for empyricalRMT-0.1.dev0.tar.gz

Hashes for empyricalRMT-0.1.dev0.tar.gz
Algorithm	Hash digest
SHA256	`6d128f2656d9076fe130d29b7cf76e46b4054645df93e2ed8618852fc24a3675`
MD5	`db2de0f16dca77d8c1442ea11d2981a6`
BLAKE2b-256	`e4b6db80a87af8c9376fda001feb1a050a318c7fecb1cd86affb64599a74e6e4`

Hashes for empyricalRMT-0.1.dev0-py3-none-any.whl

Hashes for empyricalRMT-0.1.dev0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`d624cdb6543e03dc56245d55f8f78195ef1e2cfbf23f5128a23396c57901c3d5`
MD5	`bef70680b8155bbfdb565d15d256a9e6`
BLAKE2b-256	`0ef006f14ae266713c853317c2576907a66ee2486a4bca4459dbf55c7496e624`