Categoria: IOSACal
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Install iosacal with conda
Starting today, you can install iosacal with conda. This adds to the existing installation procedure with pip. Conda is a good fit for complex projects and has better tooling for reproducibility. Installing iosacal can be achieved by adding conda-forge to your channels with: conda config –add channels conda-forge conda config –set channel_priority strict Once the…
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IOSACal in Google Colab
Google Colab is a popular notebook service that you can run directly from your browser. Python is natively supported and it’s fairly easy to run a Jupyter notebook, even with custom dependencies like Numpy and Matplotlib. You can run IOSACal in Google Colab! I have added a new short how-to guide in the official documentation.…
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Research papers and case studies using iosacal
I have updated the documentation of iosacal with a new page that lists all research papers and case studies where the software gets a mention for being used. The list is at https://iosacal.readthedocs.io/en/latest/literature.html and it’s longer than I thought, with 6 papers ranging from Norway to Antarctica, from the Last Glacial Maximum to the European…
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IOSACal 0.6 released with new features for simulation and quantiles
I’m happy to announce that IOSACal version 0.6 was released on October 1st, 2022. IOSACal 0.6 brings new features for simulating radiocarbon dates and obtaining quantiles, added respectively by Hythem Sidky and Roger Creel, who both contributed to IOSACal for the first time. I want to thank both for their efforts to share improvements to…
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IOSACal 0.5, featuring IntCal20 and more
After three years of slow paced development, IOSACal 0.5 is here. The DOI of the latest release is https://doi.org/10.5281/zenodo.630455 As before, the preferred installation method is with pip in a virtual environment. The documentation is at https://iosacal.readthedocs.io/ This release brings the new IntCal20 calibration data and several improvements for different use cases, plus one important…
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IOSACal 0.4
IOSACal is an open source program for calibration of radiocarbon dates. A few days ago I released version 0.4, that can be installed from PyPI or from source. The documentation and website is at http://c14.iosa.it/ as usual. You will need to have Python 3 already installed. The main highlight of this release are the new…