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Merge pull request #85 from ENCCS/fix-links
Fix broken links
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README.md

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## Credit and license
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- https://enccs.github.io/HPDA-Python/#credits
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- <https://enccs.github.io/hpda-python/#credits>

content/index.rst

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- `Python in High Performance Computing <https://github.com/csc-training/hpc-python>`__
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- `Code examples from High Performance Python <https://github.com/mynameisfiber/high_performance_python_2e>`__
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- `HPC Carpentry's Introduction to High-Performance Computing in Python <http://www.hpc-carpentry.org/hpc-python/>`__
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- `Python Data Science Handbook <https://jakevdp.github.io/PythonDataScienceHandbook/index.html/>`__
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- `Python Data Science Handbook <https://jakevdp.github.io/PythonDataScienceHandbook/index.html>`__
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- `An Introduction to Earth and Environmental Data Science <https://earth-env-data-science.github.io/>`__
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- `Parallel and GPU Programming in Python <https://github.com/vcodreanu/SURFsara-PTC-Python-Parallel-and-GPU-Programming/tree/master/gpu_programming/>`__
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- `Python in HPC <https://git.ichec.ie/training/studentresources/hpc-python/march-2021/>`__
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- `Scipy Lecture Notes <https://scipy-lectures.org/>`__
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- `Machine Learning and Data Science Notebooks <https://sebastianraschka.com/notebooks/ml-notebooks/>`__
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- `Elegant SciPy <https://github.com/elegant-scipy/notebooks/>`__
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- `A Comprehensive Guide to NumPy Data Types <https://axil.github.io/a-comprehensive-guide-to-numpy-data-types.html/>`__
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- `A Comprehensive Guide to NumPy Data Types <https://axil.github.io/a-comprehensive-guide-to-numpy-data-types.html>`__
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Instructional Material
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^^^^^^^^^^^^^^^^^^^^^^

content/scientific-data.rst

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:scale: 15 %
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:align: center
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(This image was created by `Scriberia <http://www.scriberia.co.uk>`__ for `The
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Turing Way <https://the-turing-way.netlify.com>`__ community and is used under a
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(This image was created by `Scriberia <https://www.scriberia.com>`__ for `The
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Turing Way <https://book.the-turing-way.org/>`__ community and is used under a
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CC-BY licence. The image was obtained from
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https://zenodo.org/record/3332808)
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**Sweden:**
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- `ICOS for climate data <http://www.icos-sweden.se/>`__
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- `ICOS for climate data <https://www.icos-sweden.se/>`__
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- `Bolin center climate / geodata <https://bolin.su.se/data/>`__
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- `NBIS for life science, sequence –omics data <https://nbis.se/infrastructure>`__
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- `NBIS for life science, sequence –omics data <https://nbis.se/>`__
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- `DataGURU for environmental and climate data <https://dataguru.lu.se/>`__
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Digital object identifiers (DOI) are the backbone of the academic
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reference and metrics system. In this exercise you will see how to
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make a GitHub repository citable by archiving it on the
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`Zenodo <http://about.zenodo.org/>`__ archiving service. Zenodo is a
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`Zenodo <https://about.zenodo.org/>`__ archiving service. Zenodo is a
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general-purpose open access repository created by OpenAIRE and CERN.
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For this exercise you need to have a GitHub account and at least one public
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--------
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- `Five recommendations for fair software <https://fair-software.eu/>`__
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- `The Turing way <https://github.com/alan-turing-institute/the-turing-way/>`__
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- `The Turing way <https://github.com/the-turing-way/the-turing-way/>`__
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.. keypoints::

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