Merge branch 'main' of https://github.com/ENCCS/hpda-python

Author: Francesco Fiusco

README.md

@@ -4,4 +4,4 @@ Teaching material for ENCCS workshop
 
 ## Credit and license
 
-- https://enccs.github.io/HPDA-Python/#credits
+- <https://enccs.github.io/hpda-python/#credits>

content/index.rst

@@ -134,7 +134,7 @@ educational material, in particular:
 - `Python in High Performance Computing <https://github.com/csc-training/hpc-python>`__
 - `Code examples from High Performance Python <https://github.com/mynameisfiber/high_performance_python_2e>`__
 - `HPC Carpentry's Introduction to High-Performance Computing in Python <http://www.hpc-carpentry.org/hpc-python/>`__
-- `Python Data Science Handbook <https://jakevdp.github.io/PythonDataScienceHandbook/index.html/>`__
+- `Python Data Science Handbook <https://jakevdp.github.io/PythonDataScienceHandbook/index.html>`__
 - `An Introduction to Earth and Environmental Data Science <https://earth-env-data-science.github.io/>`__
 - `Parallel and GPU Programming in Python <https://github.com/vcodreanu/SURFsara-PTC-Python-Parallel-and-GPU-Programming/tree/master/gpu_programming/>`__
 - `Python in HPC <https://git.ichec.ie/training/studentresources/hpc-python/march-2021/>`__
@@ -147,7 +147,7 @@ educational material, in particular:
 - `Scipy Lecture Notes <https://scipy-lectures.org/>`__
 - `Machine Learning and Data Science Notebooks <https://sebastianraschka.com/notebooks/ml-notebooks/>`__
 - `Elegant SciPy <https://github.com/elegant-scipy/notebooks/>`__
-- `A Comprehensive Guide to NumPy Data Types <https://axil.github.io/a-comprehensive-guide-to-numpy-data-types.html/>`__
+- `A Comprehensive Guide to NumPy Data Types <https://axil.github.io/a-comprehensive-guide-to-numpy-data-types.html>`__
 
 Instructional Material
 ^^^^^^^^^^^^^^^^^^^^^^

content/scientific-data.rst

@@ -381,8 +381,8 @@ FAIR principles
    :scale: 15 %
    :align: center
 
-(This image was created by `Scriberia <http://www.scriberia.co.uk>`__ for `The
-Turing Way <https://the-turing-way.netlify.com>`__ community and is used under a
+(This image was created by `Scriberia <https://www.scriberia.com>`__ for `The
+Turing Way <https://book.the-turing-way.org/>`__ community and is used under a
 CC-BY licence. The image was obtained from 
 https://zenodo.org/record/3332808)
 
@@ -453,9 +453,9 @@ platform and filter by country, content type, discipline, etc.
 
 **Sweden:**
 
-- `ICOS for climate data <http://www.icos-sweden.se/>`__
+- `ICOS for climate data <https://www.icos-sweden.se/>`__
 - `Bolin center climate / geodata <https://bolin.su.se/data/>`__
-- `NBIS for life science, sequence –omics data <https://nbis.se/infrastructure>`__
+- `NBIS for life science, sequence –omics data <https://nbis.se/>`__
 - `DataGURU for environmental and climate data <https://dataguru.lu.se/>`__
 
 
@@ -529,7 +529,7 @@ Exercises
    Digital object identifiers (DOI) are the backbone of the academic
    reference and metrics system. In this exercise you will see how to
    make a GitHub repository citable by archiving it on the
-   `Zenodo <http://about.zenodo.org/>`__ archiving service. Zenodo is a
+   `Zenodo <https://about.zenodo.org/>`__ archiving service. Zenodo is a
    general-purpose open access repository created by OpenAIRE and CERN.
 
    For this exercise you need to have a GitHub account and at least one public 
@@ -554,7 +554,7 @@ See also
 --------
 
 - `Five recommendations for fair software <https://fair-software.eu/>`__
-- `The Turing way <https://github.com/alan-turing-institute/the-turing-way/>`__
+- `The Turing way <https://github.com/the-turing-way/the-turing-way/>`__
 
 
 .. keypoints::