.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5106817.svg :target: https://doi.org/10.5281/zenodo.5106817 :align: right ===================== UVVisPy documentation ===================== Welcome! This is the documentation for UVVisPy, a Python package for **processing and analysis of UV-visible (UVVis) spectra** based on the `ASpecD framework `_. For general information see its `Homepage `_. Due to the inheritance from the ASpecD framework, all data generated with the UVVisPy package are completely reproducible and have a complete history. What is even better: Actual data processing and analysis **no longer requires programming skills**, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Curious? Have a look at the following example: .. code-block:: yaml :linenos: default_package: uvvispy datasets: - /path/to/first/dataset - /path/to/second/dataset tasks: - kind: processing type: BaselineCorrection properties: parameters: order: 0 - kind: singleplot type: SinglePlotter1D properties: filename: - first-dataset.pdf - second-dataset.pdf Interested in more real-live examples? Check out the :doc:`use cases section `. Features ======== A list of features: * fully reproducible processing and analysis of UVVis data * customisable plots * automatically generated reports * recipe-driven data analysis And to make it even more convenient for users and future-proof: * Open source project written in Python (>= 3.5) * Developed fully test-driven * Extensive user and API documentation .. warning:: UVVisPy is currently under active development and still considered in Beta development state. Therefore, expect frequent changes in features and public APIs that may break your own code. Nevertheless, feedback as well as feature requests are highly welcome. .. _sec-how_to_cite: How to cite =========== UVVisPy is free software. However, if you use UVVisPy for your own research, please cite it appropriately: Till Biskup. UVVisPy (2021). `doi:10.5281/zenodo.5106817 `_ To make things easier, UVVisPy has a `DOI `_ provided by `Zenodo `_, and you may click on the badge below to directly access the record associated with it. Note that this DOI refers to the package as such and always forwards to the most current version. .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5106817.svg :target: https://doi.org/10.5281/zenodo.5106817 Where to start ============== Users new to the UVVisPy package should probably start :doc:`at the beginning `, those familiar with its :doc:`underlying concepts ` may jump straight to the section explaining frequent :doc:`use cases `. The :doc:`API documentation ` is the definite source of information for developers, besides having a look at the source code. Installation ============ To install the UVVisPy package on your computer (sensibly within a Python virtual environment), open a terminal (activate your virtual environment), and type in the following: .. code-block:: bash pip install uvvispy Have a look at the more detailed :doc:`installation instructions ` as well. Related projects ================ There is a number of related packages users of the UVVisPy package may well be interested in, as they have a similar scope, focussing on spectroscopy and reproducible research. * `ASpecD `_ A Python framework for the analysis of spectroscopic data focussing on reproducibility and good scientific practice. The framework the UVVisPy package is based on, developed by T. Biskup. * `cwepr `_ Package for processing and analysing continuous-wave electron paramagnetic resonance (cw-EPR) data, originally developed by P. Kirchner, currently developed and maintained by M. Schröder and T. Biskup. * `trepr `_ Package for processing and analysing time-resolved electron paramagnetic resonance (TREPR) data, originally developed by J. Popp, currently developed and maintained by M. Schröder and T. Biskup. You may as well be interested in the `LabInform project `_ focussing on the necessary more global infrastructure in a laboratory/scientific workgroup interested in more `reproducible research `_. In short, LabInform is "The Open-Source Laboratory Information System". Finally, don't forget to check out the website on `reproducible research `_ covering in more general terms aspects of reproducible research and good scientific practice. .. toctree:: :maxdepth: 2 :caption: User Manual: :hidden: audience concepts metadata usecases installing .. toctree:: :maxdepth: 2 :caption: Developers: :hidden: people developers changelog roadmap dataset-structure api/index License ======= This program is free software: you can redistribute it and/or modify it under the terms of the **BSD License**. However, if you use the UVVisPy package for your own research, please cite it appropriately. See :ref:`How to cite ` for details. A note on the logo ================== The snake (a python) forms a prism that diffracts the incoming light. The copyright of the logo belongs to J. Popp.