The following webpage lists several Jupyter tricks (in particular, it
illustrates many IPython magic commands) that should improve your
@@ -43,9 +44,57 @@ the tricks may have been integrated in the default behavior of Jupyter
now).
+Using the Jupyter environment we deployed for this MOOC will allow to +easily access any file from your default GitLab project. There are +situations however where you may want to play with other notebooks. +
+File -> Open. You're now in the Jupyter file manager.New -> Notebook: Python 3.
+Give your notebook a name from the menu: File -> Rename.
+
+N.B.: If you create a file by doing File -> New Notebook ->
+ Python 3, the new notebook will be created in the current
+directory. Moving it afterward is possible but a bit cumbersome
+(you'll have to go through the Jupyter file manager by following
+the menu File -> Open, then select it, Shut it down, and Move
+and/or Rename).
+
Git pull button and use the File -> Open menu. Otherwise,
+imagine, you want to import the following notebook from someone
+else's repository to re-execute it.
+Open raw (a small </> within a document icon)
+and save (Ctrl-S on most browsers) the content (a long Json text
+file).File -> Open and
+navigate to the directory where you want to upload your notebook.Upload the previously downloaded
+notebook and confirm the upload.
rpy2 package allows to use both languages in the same notebook by:
Jupyter is not limited to Pytyhon and R. Many other languages are available: https://github.com/jupyter/jupyter/wiki/Jupyter-kernels, including @@ -114,9 +163,9 @@ and environment control will certainly help anyway.
In this section, we explain how to set up a Jupyter environment on your own computer similar to the one deployed for this MOOC. @@ -131,9 +180,9 @@ benefit from JupyterLab which was still under active development. You may, howev
Follow these instructions if you wish to have a Jupyter environment on your own computer similar to the one we set up for this MOOC. @@ -166,18 +215,18 @@ jupyter notebook
The environment described in the last section should include R, but if you proceeded otherwise and only have Python available in Jupyter, you may want to read the following section.
Do the following in R console:
@@ -213,9 +262,9 @@ IRkernel::installspec() #On Linux, the rpy2 package is available in standard distributions
@@ -258,13 +307,13 @@ Install alsotzlocal:
Here is what we had to install on a recent Debian computer to make sure the notebook export via LaTeX works: @@ -309,9 +358,9 @@ packages when exporting to pdf.
Here are a few extensions that can ease your life:
@@ -338,9 +387,9 @@ jupyter-serverextension enable --py hide_codeTo ease your experience, we added pull/push buttons that allow you to commit and sync with GitLab. This development was specific to