A library to CRDS (cavity ring-down spectroscopy) data processing
Project description
PyCRDS
PyCRDS is a library for CRDS (cavity ring-down spectroscopy) data processing.
Installation
Install using pip:
pip install pycrds
Or you can clone the repository and install it locally:
pip install -e .
Dataset
The dataset used for testing can be found in the following GitHub repository:
To download the dataset, you can download it as a ZIP file or clone the repository:
git clone git@github.com:lapat-iag-usp/PyCRDS-data.git
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pycrds-0.0.1.tar.gz.
File metadata
- Download URL: pycrds-0.0.1.tar.gz
- Upload date:
- Size: 8.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1bc2f1f1ef2f4145310acc3991600c2e655c785a4641ec3852c49d6379167a8b
|
|
| MD5 |
d88898be12e676eb9b24a2f5bfc6c2ea
|
|
| BLAKE2b-256 |
accbcd31b8df9792085dcba71b1ebce1e8eeac3181e2859cbffe62b63727af57
|
File details
Details for the file pycrds-0.0.1-py3-none-any.whl.
File metadata
- Download URL: pycrds-0.0.1-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0833b012ddb5ad6a8983b577c5911a8dbe2e60680d6b01c5cbb2b4c507a8f2d7
|
|
| MD5 |
d88f600cfae855714f812c48542b4f3f
|
|
| BLAKE2b-256 |
de79376f50925d79b867257a395969336f07178fa0bfe2093251b78f6c0c4e36
|