From c76ee60f90f0579519d70846b1f64719ddf4ec96 Mon Sep 17 00:00:00 2001 From: Julia Kent <46687291+jukent@users.noreply.github.com> Date: Fri, 4 Mar 2022 10:38:14 -0700 Subject: [PATCH 1/2] fix link in preamble --- preamble/how-to-use.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/preamble/how-to-use.md b/preamble/how-to-use.md index 08c019e6e..a800f22d6 100644 --- a/preamble/how-to-use.md +++ b/preamble/how-to-use.md @@ -45,7 +45,7 @@ Notebook](https://jupyterbook.org/intro.html) “chapters”. The power of Jupyter Notebooks is that they can contain both static text and executable code that you can interact with. When you navigate to a book chapter such as [Matplotlib -Basics](https://foundations.projectpythia.org/core/matplotlib/matplotlib.html) +Basics](https://foundations.projectpythia.org/core/matplotlib/matplotlib-basics.html) you will see static text, Python code, and the rendered output of that code in the form of the many figures that appear. In the case of Matplotlib Basics these figures are produced by Matplotlib itself. From 0b7c600bdf2ec311552de923b9a73a28b1a509db Mon Sep 17 00:00:00 2001 From: Julia Kent <46687291+jukent@users.noreply.github.com> Date: Fri, 4 Mar 2022 10:58:55 -0700 Subject: [PATCH 2/2] Update preamble/how-to-use.md Co-authored-by: Brian Rose --- preamble/how-to-use.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/preamble/how-to-use.md b/preamble/how-to-use.md index a800f22d6..f7dfa8491 100644 --- a/preamble/how-to-use.md +++ b/preamble/how-to-use.md @@ -45,7 +45,7 @@ Notebook](https://jupyterbook.org/intro.html) “chapters”. The power of Jupyter Notebooks is that they can contain both static text and executable code that you can interact with. When you navigate to a book chapter such as [Matplotlib -Basics](https://foundations.projectpythia.org/core/matplotlib/matplotlib-basics.html) +Basics](../core/matplotlib/matplotlib-basics) you will see static text, Python code, and the rendered output of that code in the form of the many figures that appear. In the case of Matplotlib Basics these figures are produced by Matplotlib itself.