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QuantEcon · Sep 25, 2023 · 95de21e · 95de21e
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diff --git a/.gitignore b/.gitignore
@@ -1,4 +1,7 @@
 _build/
 __pycache__/
 .DS_Store
-dask-worker-space
+dask-worker-space
+
+.vscode/
+.ipynb_checkpoints/
diff --git a/.ipynb_checkpoints/Demo-checkpoint.ipynb b/.ipynb_checkpoints/Demo-checkpoint.ipynb
diff --git a/.vscode/settings.json b/.vscode/settings.json
diff --git a/lectures/_static/lecture_specific/getting_started/debug.png b/lectures/_static/lecture_specific/getting_started/debug.png
diff --git a/lectures/workspace.md b/lectures/workspace.md
@@ -18,7 +18,7 @@ kernelspec:
 </div>
 ```
 
-# Python Development: Writing Longer Programs
+# Writing Longer Programs
 
 
 ```{contents} Contents
@@ -30,7 +30,7 @@ So far, we have explored the use of Jupyter Notebooks in writing and executing P
 
 While they are efficient and adaptable when working with short pieces of code, Notebooks are not the best choice for longer programs and scripts. 
 
-While Jupyter Notebooks can help execute chunks of code one at a time, scripts allow for long pieces of code to be written and executed in a single go. 
+Jupyter Notebooks are well suited to interactive computing (i.e. data science workflows) and can help execute chunks of code one at a time. Text files and scripts allow for long pieces of code to be written and executed in a single go.
 
 We will explore the use of Python scripts as an alternative.