Difference between revisions of "Jupyter"
Jump to navigation
Jump to search
| Line 6: | Line 6: | ||
== Steps to set it ip == | == Steps to set it ip == | ||
| − | In this example we use the Arduino Nano Connect | + | In this example, we use the Arduino Nano RP2040 Connect and an Arduino Nano ESP32. |
The basic steps are | The basic steps are | ||
| − | * | + | * Install Python (version 3.6 and above) on your computer (or update to the latest version), see https://www.python.org/ |
| − | * | + | * Install Jupyter Notebooks on your computer locally (see the documentation at https://jupyter.org/install) |
| − | + | <syntaxhighlight lang="Bash"> | |
| − | + | pip install jupyterlab | |
| − | + | </syntaxhighlight> | |
| − | |||
| + | * Install the Kernal that allows you to connect to the Board via USB/REPL, see https://github.com/goatchurchprime/jupyter_micropython_kernel/ | ||
| + | * Connect the device physically to the computer | ||
| + | * Have as first command to the connection to serial port | ||
| + | * Program the board directly in the notebook, see the output (including sensor streams) directly in the notebook | ||
== Web pages and Tutorials == | == Web pages and Tutorials == | ||
Revision as of 09:26, 11 June 2024
Jupyter notebook as development ennvironment for MicroPython
This explains how to configure a local Jupyter Notebook to develop MicroPython code on an ESP32 or ESP8266 device.
Steps to set it ip
In this example, we use the Arduino Nano RP2040 Connect and an Arduino Nano ESP32.
The basic steps are
- Install Python (version 3.6 and above) on your computer (or update to the latest version), see https://www.python.org/
- Install Jupyter Notebooks on your computer locally (see the documentation at https://jupyter.org/install)
pip install jupyterlab
- Install the Kernal that allows you to connect to the Board via USB/REPL, see https://github.com/goatchurchprime/jupyter_micropython_kernel/
- Connect the device physically to the computer
- Have as first command to the connection to serial port
- Program the board directly in the notebook, see the output (including sensor streams) directly in the notebook
Web pages and Tutorials
