diff --git a/build/sitemap.xml b/build/sitemap.xml index 95b8e1ecb..3ee3ba8a8 100644 --- a/build/sitemap.xml +++ b/build/sitemap.xml @@ -1481,11 +1481,6 @@ weekly 0.9 - - https://code.visualstudio.com/learn/educators/notebooks - weekly - 0.9 - https://code.visualstudio.com/learn/educators/webinars weekly diff --git a/learn/educators/images/notebooks/jupyter_market_place.png b/learn/educators/images/notebooks/jupyter_market_place.png deleted file mode 100644 index d422d648c..000000000 --- a/learn/educators/images/notebooks/jupyter_market_place.png +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:66811b21f40b3fc440a7cdf958fff878928fdf35b08b7f57d1b9ead4845c4379 -size 96022 diff --git a/learn/educators/images/notebooks/notebook_assignment.gif b/learn/educators/images/notebooks/notebook_assignment.gif deleted file mode 100644 index d8d2e404f..000000000 --- a/learn/educators/images/notebooks/notebook_assignment.gif +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:1f92d8114f545e999e0ce86c04c9afd69925e3c1d38a18188ad7ae92015e8329 -size 4842335 diff --git a/learn/educators/images/notebooks/notebook_interactive_output.gif b/learn/educators/images/notebooks/notebook_interactive_output.gif deleted file mode 100644 index 3a715d267..000000000 --- a/learn/educators/images/notebooks/notebook_interactive_output.gif +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:e587a8f67f9d7fb6b2c619af0abd1b78d65ac5d8b7f23ceb859d972e14e4b0e5 -size 3100051 diff --git a/learn/educators/images/notebooks/notebook_lesson_visual_md.gif b/learn/educators/images/notebooks/notebook_lesson_visual_md.gif deleted file mode 100644 index a03f5d79f..000000000 --- a/learn/educators/images/notebooks/notebook_lesson_visual_md.gif +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a3e6ef606998554d2932ce679eac7cce6d4b7a62af30681eac59b379cfb4d513 -size 551376 diff --git a/learn/educators/images/notebooks/notebook_runtime_lecture.gif b/learn/educators/images/notebooks/notebook_runtime_lecture.gif deleted file mode 100644 index 9ac01d56a..000000000 --- a/learn/educators/images/notebooks/notebook_runtime_lecture.gif +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:410d884a23f8defdd803584f381c893a17e26b96775e64f57fc127f2e8cd1131 -size 3099713 diff --git a/learn/educators/notebooks.md b/learn/educators/notebooks.md deleted file mode 100644 index f389e4543..000000000 --- a/learn/educators/notebooks.md +++ /dev/null @@ -1,55 +0,0 @@ ---- -Order: 6 -Area: educators -TOCTitle: Jupyter Notebooks -ContentId: 93f791e7-5723-4fc7-8061-7fa355d48a4d -PageTitle: Jupyter Notebooks in Visual Studio Code -DateApproved: 1/26/2021 -MetaDescription: Jupyter Notebooks in Visual Studio Code ---- - -# Jupyter Notebooks - -[Jupyter Notebooks](https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/what_is_jupyter.html) are documents that contain a mix of live code (Python, R, Julia, JavaScript, and more), visualizations, and narrative text (Markdown). They're useful for breaking down concepts in a story telling form, where you can give some context and show the code below along with interactive visualizations. - -## What do they look like in a classroom? - -Below are several real life examples of how Jupyter Notebooks can be used in classrooms. - -## Storytelling - -Notebooks can be useful for explaining large topics, piece by piece, with rich imagery and videos embedded. - -Here one instructor is using extra visualizations and pseudo-code to help students code their merge sort implementation. - -![Teaching merge sort in a Notebook](images/notebooks/notebook_lesson_visual_md.gif) - -This instructor is explaining how time complexities work broken down with tables of data, graphs, explanations, and code: - -![Lecture explaining time complexities](images/notebooks/notebook_runtime_lecture.gif) - -It's also a great way to see and compare the exact runtimes of code blocks, which can be very helpful for learning data structures and algorithm fundamentals. - -## Interactive output - -Jupyter Notebooks can also have rich interactive outputs. The instructor below is creating a Notebook for a lecture about the [maximum flow problem](https://en.wikipedia.org/wiki/Maximum_flow_problem) and utilizing the [pyviz library](https://pyvis.readthedocs.io/en/latest/tutorial.html#getting-started) to make an interactive network graph to visualize the problem description. They are also utilizing the built-in [LaTeX](https://www.latex-project.org/) support to show mathematical symbols for the problem constraints. - -![Lecture notes for maximum flow problem](images/notebooks/notebook_interactive_output.gif) - -## Rich assignments - -They are also a great format for handing out assignments. Here an instructor created an assignment to teach Binary Search Trees that includes a mix of students needing to implement code and write long form written responses to theoretical questions. - -![Binary Search Tree assignment in Notebook format](images/notebooks/notebook_assignment.gif) - -## Getting started - -You will need to have Python 3 installed on your machine along with the Microsoft [Python extension](https://marketplace.visualstudio.com/items?itemName=ms-python.python) installed from the VS Code Marketplace. You can review the [introductory Python tutorial](/docs/python/python-tutorial.md) for help with setup. - -In addition, you need to install the [Jupyter Notebooks extension](https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter). - -![Jupyter extension in VS Code Marketplace](images/notebooks/jupyter_market_place.png) - -Once you have Python and the extensions installed, you will need to activate the Python environment by using the command **Python: Select Interpreter** from the Command Palette (`kb(workbench.action.showCommands)`). - -For full instructions on how to use Jupyter Notebooks, follow the [step by step Jupyter Notebook guide](/docs/datascience/jupyter-notebooks.md).