DNPLab - Bringing the Power of Python to DNP-NMR Spectroscopy
Project description
DNPLab - Bringing the Power of Python to DNP-NMR Spectroscopy
DNPLab is a collaborative project created by:
Authors: Timothy Keller, Yen-Chun Huang, Karl Rieger, John Franck, Thorsten Maly, Songi Han
Alumnis: Thomas Casey, Yanxian Lin
DNPLab is an object-oriented Open Source Python-based package for importing, processing, and analyzing data determined in a Dynamic Nuclear Polarization (DNP) or Electron Paramagnetic Resonance (EPR) experiment.
Features
- Import many different NMR data formats (Topspin, VnmrJ, Prospa, ...)
- Create N-dimensional data objects
- Easy processing of NMR data (apodization, zero-filling, Fourier transformations, alignment, ...)
- Analyze data using the specific modules
Installation
DNPLab can be easily installed via pip:
pip install dnplab
Documenation
Find the online documentation at: http://docs.dnplab.net
Developement
- Clone the git repository from https://github.com/DNPLab/dnplab
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file dnplab-2.2.2.tar.gz
.
File metadata
- Download URL: dnplab-2.2.2.tar.gz
- Upload date:
- Size: 108.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d720a1336fa40c2f80be3a42cc56cd63228537bcbcffd01b41bddbe7efb12b3e |
|
MD5 | 6f42e2c9e5a9b8c718d408ed9c12b1f6 |
|
BLAKE2b-256 | 5dea8319f8c1aed18d7c5b2ac635c768432ef113076531ff18f0f3698272a703 |
File details
Details for the file dnplab-2.2.2-py3-none-any.whl
.
File metadata
- Download URL: dnplab-2.2.2-py3-none-any.whl
- Upload date:
- Size: 131.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 94543e1320fc622ea6627a2eddaeeb2ace6d689b8ec055b6aeb5e7068d1bec00 |
|
MD5 | 3322d1da472f79e78770622590e12caa |
|
BLAKE2b-256 | 67c5ba75680bbe1c3e4448929e243f5d9b3202e4420ba3dfffcf2fbd731853bf |