We will be using JupyterLab, a web-based editor for creating interactive notebooks using Markdown and Python. JupyterLab is the successor to Jupyter Notebook, which recently reached its sunset release (v7) and will not continue receiving upgrades. JupyterLab is also the recommended development environment for Qiskit.
There is a JupyterLab Desktop app that simplifies the setup for us. Check out the README for installation instructions. If you have an existing JupyterLab Desktop installation, please uninstall it first by following the uninstall instructions. I recommend looking at the User Guide for an explanation of how the desktop app differs from the web app. For a tutorial on the user interface of JupyterLab, I recommend reading the JupyterLab Tutorial by DataCamp.
Take a look at the Sessions and Projects section on the JupyterLab Desktop repo. After opening JupyterLab Desktop, the welcome page comes up. We can either jump straight into a new notebook..., or start a new session... which opens the Launcher tab. From the Launcher we can open the Console, the Terminal, and Show Contextual Help, among other things.
The Anaconda Assistant will appear on a tab to the right. You can receive 30 responses from the AI chatbot each day, which uses OpenAI as its backend. But you can also install the JupyterLab AI extension to use any AI backend you want!
On the bottom left of the welcome window you'll find your recent sessions.
Rate limit reached for gpt-3.5-turbo in organization org-
You can select the text to ask about
I am ChatGPT v4. There is a rate limit of 1000 API calls per month for free users.
Use Shift + Right Click to cut, copy, paste, and select all in JupyterLab.
- Introducing the new JupyterLab Desktop!
- Python environment management in JupyterLab Desktop
- Jupyter Blog
Here are several cloud environments we can edit JupyterLab files on.
anaconda.cloud github.dev vscode.dev Google Colab JupyterLite