differences for PR #60

Author: actions-user

03-numpy_essential.md

@@ -251,6 +251,18 @@ plt.show()
 
 ![](fig/gauss_curve_noisy.png){alt='Gaussian curve plot, with random noise added'}
 
+:::::::::::::::::::::::::::::::::::::::::  callout
+
+## Matplotlib in Jupyter notebooks
+
+By default, a Jupyter notebook evaluates and displays the final step in a cell. In the
+case of the 'matplotlib' library's `plot(...)` function, this means that it automatically 
+displays a plot without requiring the `show()` function. However, since this function is
+required in other scenarios (e.g. a standalone python script), the course notes will include
+it each time it is required. 
+
+::::::::::::::::::::::::::::::::::::::::::::::::::
+
 To identify any signal in the data we can use the standard deviation as an estimate of the noise around the mean value of the data.
 
 ```python

md5sum.txt

@@ -6,7 +6,7 @@
 "links.md" "8184cf4149eafbf03ce8da8ff0778c14" "site/built/links.md" "2025-04-15"
 "episodes/01-introduction.md" "c9d4152827292039d98bda76eac83684" "site/built/01-introduction.md" "2025-04-15"
 "episodes/02-dictionaries.md" "a3e25c74d90bef8f93c72bf320ba0a1b" "site/built/02-dictionaries.md" "2026-04-13"
-"episodes/03-numpy_essential.md" "8be0e5afb556d4f597f31f059488dd15" "site/built/03-numpy_essential.md" "2025-04-15"
+"episodes/03-numpy_essential.md" "8d65f302a7edac25aaecb56277b282fc" "site/built/03-numpy_essential.md" "2026-04-13"
 "episodes/04-software_package_management.md" "62db2ba2a4291e16d2bdd07b77bfc961" "site/built/04-software_package_management.md" "2025-04-15"
 "episodes/05-defensive_programming.md" "357bca7361e09066ad71393e21ad0c74" "site/built/05-defensive_programming.md" "2025-04-15"
 "episodes/06-units_and_quantities.md" "7e259f66d6f8889505c252a04082481f" "site/built/06-units_and_quantities.md" "2026-04-13"