This is very convenient but there is one drawback to understand. This
means your password is stored, unencrypted on your hard drive. If
anyone ever gets an access to your machine, he will gain access rights
to all your repos, which can be problematic. This is why the really
good way to do this is to follow <ahref="https://stackoverflow.com/questions/5343068/is-there-a-way-to-skip-password-typing-when-using-https-on-github">these instructions</a>:
The following <ahref="https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/">webpage</a> lists several Jupyter tricks (in particular, it
The following <ahref="https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/">webpage</a> lists several Jupyter tricks (in particular, it
illustrates many <code>Ipython magic</code> commands) that should improve your
illustrates many <code>Ipython magic</code> commands) that should improve your
<listyle="margin-bottom:0;"><ahref="https://github.com/rstudio/cheatsheets/raw/master/rmarkdown-2.0.pdf">R Markdown</a> (here is also a <ahref="https://rmarkdown.rstudio.com/">nice step-by-step presentation of Rmarkdown</a>),</li>
<listyle="margin-bottom:0;"><ahref="https://github.com/rstudio/cheatsheets/raw/master/data-visualization-2.1.pdf">Data visualization with ggplot2</a>,</li>
<listyle="margin-bottom:0;"><ahref="https://github.com/rstudio/cheatsheets/raw/master/data-visualization-2.1.pdf">Data visualization with ggplot2</a>,</li>
<listyle="margin-bottom:0;"><ahref="https://github.com/rstudio/cheatsheets/raw/master/data-transformation.pdf">Data transformation with dplyr</a></li>
<listyle="margin-bottom:0;"><ahref="https://github.com/rstudio/cheatsheets/raw/master/data-transformation.pdf">Data transformation with dplyr</a></li>
...
@@ -75,13 +56,13 @@ of these documents:
...
@@ -75,13 +56,13 @@ of these documents:
<listyle="margin-bottom:0;"><ahref="https://www.fun-mooc.fr/c4x/UPSUD/42001S02/asset/RMarkdown.pdf">Un court document sur R Markdown</a></li>
<listyle="margin-bottom:0;"><ahref="https://www.fun-mooc.fr/c4x/UPSUD/42001S02/asset/RMarkdown.pdf">Un court document sur R Markdown</a></li>