Host machine: docker run -it -p 8888:8888 image:version Inside the Container : jupyter notebook --ip 0.0.0.0 --no-browser --allow-root Host machine access this url : localhost:8888/tree‌

I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)

Did you know that everything you can do in VBA can also be done in Python? The Excel Object Model is what you use when writing VBA, but the same API is available in Python as well.See Python as a VBA Replacement from the PyXLL documentation for details of how this is possible.

You can write Excel worksheet functions in your Jupyter notebook too. This is a really great way of trying out ideas without leaving Excel to go to a Python IDE.

Use the magic function “%xl_get” to get the current Excel selection in Python. Have a table of data in Excel? Select the top left corner (or the whole range) and type “%xl_get” in your Jupyter notebook and voila! the Excel table is now a pandas DataFrame.

to run Python code in Excel you need the PyXLL add-in. The PyXLL add-in is what lets us integrate Python into Excel and use Python instead of VBA

Here’s a table showing the tradeoffs:

Hot Reloading refers to the ability to automatically update a running web application when changes are made to the application’s code.

JupyterDash supports three approaches to displaying a Dash application during interactive development.

# Run app and display result inline in the notebookapp.run_server(mode='inline')

app.run_server(mode='inline')

If running the server blocks the main thread, then it’s not possible to execute additional code cells without manually interrupting the execution of the kernel.JupyterDash resolves this problem by executing the Flask development server in a background thread. This leaves the main execution thread available for additional calculations. When a request is made to serve a new version of the application on the same port, the currently running application is automatically shut down first. This makes is possible to quickly update a running application by simply re-executing the notebook cells that define it.

You can also try it out, right in your browser, with binder.

Then, copy any Dash example into a Jupyter notebook cell and replace the dash.Dash class with the jupyter_dash.JupyterDash class.

from jupyter_dash import JupyterDash

import dash

import plotly.express as px
from jupyter_dash import JupyterDash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

Python unit testing libraries, like unittest, can be used within a notebook, but standard CI/CD tooling has trouble dealing with notebooks for the same reasons that notebook diffs are hard to read.

Visual Studio Code supports working with Jupyter Notebooks natively, as well as through Python code files.

# %%
msg = "Hello World"
print(msg)

# %%
msg = "Hello again"
print(msg)

JupyterLab project, which enables a richer UI including a file browser, text editors, consoles, notebooks, and a rich layout system.

Jupytext can be configured to automatically pair a git-friendly file for input data while preserving the output data in the .ipynb file

JupyterHub, a multi-user Hub, spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server.

Turn a GitHub repo into a collection of interactive notebooks

Host, run, and code Python in the cloud!

At every turn, IPython chose the way that was more inclusive, to the point where it’s no longer called “IPython”: The project rebranded itself as “Jupyter” in 2014 to recognize the fact that it was no longer just for Python.