From 10ee2f4f721f6f70049b2ca3deb88764682513ee Mon Sep 17 00:00:00 2001 From: Scott Peterson Date: Tue, 3 Nov 2026 09:59:47 -0500 Subject: [PATCH] Update getting-started.md Fixed spelling of Jupyter --- episodes/getting-started.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/episodes/getting-started.md b/episodes/getting-started.md index 2aa17a0b..e7ba156f 100644 --- a/episodes/getting-started.md +++ b/episodes/getting-started.md @@ -57,7 +57,7 @@ If you haven't already done so, see [the setup instructions](../learners/setup.m To run Python, we are going to use Jupyter Notebooks via [JupyterLab][jupyterlab]. Jupyter notebooks are common tools for data science and visualization, and serve as a convenient environment for running Python code interactively where we can view and share the results of our Python code. ::::::::::::::::::::::::::::::::::::::::: callout -### Alternatives to Juypter +### Alternatives to Jupyter There are other ways of editing, managing, and running Python code. Software developers often use an integrated development environment (IDE) like [PyCharm](https://www.jetbrains.com/pycharm/), [Spyder][spyder] or [Visual Studio Code (VS Code)](https://code.visualstudio.com/), to create and edit Python scripts. Others use text editors like Vim or Emacs to hand-code Python. After editing and saving Python scripts you can execute those programs within an IDE or directly on the command line. ::::::::::::::::::::::::::::::::::::::::::::::::::