From d78a1c91b2fea4351f30d647e39ce2ed7d441a79 Mon Sep 17 00:00:00 2001 From: Tyler Erickson Date: Tue, 3 Dec 2024 15:40:52 -0800 Subject: [PATCH] Minor typo fixes --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 2ef15af..d93ab51 100644 --- a/README.md +++ b/README.md @@ -50,7 +50,7 @@ pip install yfiles_jupyter_graphs If you want to start clean and get a fresh new Jupyter Lab with the widget readily installed and available, you can use [`docker`](https://www.docker.com/), too: -Form a shell, create a docker image that contains all that is required: +From a shell, create a docker image that contains all that is required: ```bash mkdir yfiles-jupyter && cd yfiles-jupyter @@ -58,7 +58,7 @@ echo -e "FROM jupyter/scipy-notebook\nRUN pip install yfiles-jupyter-graphs" > D docker build -t yfiles-jupyter-graphs-on-docker . ``` -(the above has been tested successfully with `scipy-notebook:lab-3.4.7` and `yfiles-jupyter-graphs==1.2.1`), but we want to make sure that it will also work with upcoming versions - file an issue if it doesn't work for you!) +(the above has been tested successfully with `scipy-notebook:lab-3.4.7` and `yfiles-jupyter-graphs==1.2.1`), but we want to make sure that it will also work with upcoming versions - file an issue if it doesn't work for you!) You can then create a fresh new instance of your server from this image like so: @@ -68,7 +68,7 @@ docker run -it -p 8888:8888 --name yfiles-jupyter yfiles-jupyter-graphs-on-docke ## Usage -In a notebook which has the wiget installed in the server, in a Python cell, you can then do this: +In a notebook which has the widget installed in the server, in a Python cell, you can then do this: ```python """Execute in jupyter notebook or jupyter lab"""