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diff --git a/lectures/introduction/cloud_setup.md b/lectures/introduction/cloud_setup.md
index 77cee4ca..06a9daf1 100644
--- a/lectures/introduction/cloud_setup.md
+++ b/lectures/introduction/cloud_setup.md
@@ -24,8 +24,7 @@ any other required software on your own computer.
The `Launch Notebook` button opens a new tab in your browser where a Jupyter notebook version of the
current lecture page will be opened with the selected cloud service.
-The settings icon allows you to change your cloud environment from the default. To use
-click the over the settings icon on the bottom right of the page (see image).
+You can change your cloud environment by selecting another server from the drop down menu (see image):
@@ -35,10 +34,30 @@ click the over the settings icon on the bottom right of the page (see image).
-Making a selection will open a new tab in your browser where a Jupyter notebook version of the
-current lecture page will be opened with the selected cloud service.
-
We discuss each of the options below.
+
+### BinderHub
+
+#### Launching BinderHub
+
+To launch course material through BinderHub:
+
+**1.** Choose the `BinderHub` under `select a server: public` on the launch bar to change the backend hub.
+
+**2.** Click on the `Launch Notebook` button.
+
+**3.** Wait for `BinderHub` to connect to the repo
+
+```{figure} https://raw.githubusercontent.com/QuantEcon/lecture-datascience.myst/main/lectures/_static/wait_binderhub.png
+
+```
+
+**4.** You can use the Jupyter Network interface with `BinderHub`
+
+```{figure} https://raw.githubusercontent.com/QuantEcon/lecture-datascience.myst/main/lectures/_static/binderhub_jupyter.png
+
+```
+
### Google Colab
[Google Colab](https://research.google.com/colaboratory/faq.html) is a cloud service hosted by
@@ -58,9 +77,7 @@ to underlying Jupyter software.
To launch course material through Google Colab:
-**1.** Choose the settings icon on the launch bar to change the backend hub
-
-You will need to select choose `google colab` from the public options.
+**1.** Choose the `colab` under `select a server: public` on the launch bar to change the backend hub.
**2.** Click on the `Launch Notebook` button.
@@ -110,14 +127,3 @@ If you would like to store your work, you can save it onto your Google Drive by
You can create a new notebook by clicking `File` on the menubar and selecting
`New Python 3 notebook`.
-### BinderHub
-
-#### Launching BinderHub
-
-To launch course material through BinderHub:
-
-**1.** Choose the settings icon on the launch bar to change the backend hub
-
-You will need to select choose `BinderHub` from the public options.
-
-**2.** Click on the `Launch Notebook` button.
\ No newline at end of file
diff --git a/lectures/introduction/local_install.md b/lectures/introduction/local_install.md
index 641ee90e..cb1588f1 100644
--- a/lectures/introduction/local_install.md
+++ b/lectures/introduction/local_install.md
@@ -38,12 +38,12 @@ For Windows users, we recommend installing for "just me" instead of "all users".
## Downloading the QuantEcon Data Science Lectures
-To download the QuantEcon Data Science lectures, we use the `Clone` button on the toolbar
-as seen in the following image.
+To download the QuantEcon Data Science lectures, go to its [Github repo](https://github.com/QuantEcon/lecture-datascience.notebooks), click on the
+Code button.
-```{figure} https://raw.githubusercontent.com/QuantEcon/lecture-datascience.myst/main/lectures/_static/clone_button.png
+```{figure} https://raw.githubusercontent.com/QuantEcon/lecture-datascience.myst/main/lectures/_static/github_main.png
```
@@ -54,7 +54,8 @@ You can download the lectures through either **Github Desktop** or **Terminal**:
**Github Desktop** (Mac/Windows only), recommended for most users.
1. Install [Github Desktop](https://desktop.github.com/).
-1. Click the "Open in Github Desktop" option in the clone button menu. It should open a Github
+1. Go to the [Github repo](https://github.com/QuantEcon/lecture-datascience.notebooks).
+1. Click the "Open with Github Desktop" option in the Code button menu. It should open a Github
Desktop popup that looks like this:
```{figure} https://raw.githubusercontent.com/QuantEcon/lecture-datascience.myst/main/lectures/_static/download_lectures_github_desktop.png
```
@@ -66,10 +67,8 @@ You can download the lectures through either **Github Desktop** or **Terminal**:
1. Make sure that `git` is installed on your computer. (`git` is not installed on Windows by default. You can download and install it from [here](https://git-scm.com/download/win)).
1. Open a terminal.
1. Set the path to where you would like to download the lectures. The default one is your home directory.
-1. Run `git clone https://github.com/QuantEcon/lecture-datascience.notebooks` which will
- download the repository with notebooks in your working directory. *Pro tip*: If you would rather
- not type this command on your own, you can click "Copy clone command to clipboard" on the clone
- button menu and paste it into the terminal.
+1. Run `git clone https://github.com/QuantEcon/lecture-datascience.notebooks.git` which will
+ download the repository with notebooks in your working directory.
## Package Management
diff --git a/lectures/introduction/troubleshooting.md b/lectures/introduction/troubleshooting.md
index 04dece82..a2daf1b8 100644
--- a/lectures/introduction/troubleshooting.md
+++ b/lectures/introduction/troubleshooting.md
@@ -20,28 +20,11 @@ to run this lecture. You can follow {doc}`cloud setup instructions <../introduct
Here are instructions to restore some or all lectures to their original states.
-### Hubs
-
-To refresh a **single** notebook:
-
-1. Open the lecture folder in the JupyterHub where it's installed (e.g., the [PIMS Syzygy](https://pims.syzygy.ca) server.)
-1. Navigate to the lecture in question (i.e., by double-clicking on the folder for that section), and delete it by right-clicking.
-1. Go back to the {doc}`lectures website <../index>`, navigate to the page for that lecture.
-1. Make sure the settings wheel next to the launch bar is pointing at the right hub, and click the link again. This will repopulate the file freshly from the server.
-
-Otherwise, follow these steps:
-
-1. Open the lecture folder in the JupyterHub where it's installed (e.g., the [PIMS Syzygy](https://pims.syzygy.ca) server.)
-1. Close all open lectures by clicking the `x` in their tabs.
-1. Open the `utilities.ipynb` notebook (which is in the top level of the repository, outside folders like `introduction`)
-1. To **completely reset** your lectures to the latest from the server, run the second cell. This will **also delete** any additional files you have added
-1. To **update** files you haven't changed, run the first cell. This will **also pull** any new files that we have added to the GitHub repository (e.g., new lectures.)
-
### Local Machines
The workflow is a bit different on a local machine. We are assuming that you have followed the {doc}`local setup instructions <../introduction/local_install>`, and have installed GitHub desktop.
-1. Open GitHub desktop, and navigate to the repository (you can click "find" under "edit" in the top menu bar, and then type `lecture-datascience.notebooks`, if you are having trouble.)
+1. Open GitHub desktop, and navigate to the repository (you can click "find" under "edit" in the top menu bar, and then type `lecture-datascience.myst`, if you are having trouble.)
1. To **reset everything**, click "discard all changes" under "branch" in the top menu bar.
1. To **reset a specific notebook**, right-click the specific file in the changes side tab, and then click "discard changes."
1. To **pull the latest from the server**, first make sure you don't have any conflicting changes (i.e., do step (2) above), and then click "pull" under "repository" in the top menu bar.