Difference between revisions of "Jupyter"
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(Created page with " = 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 d...") |
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== Steps to set it ip == | == Steps to set it ip == | ||
| − | In this example we use the Arduino Nano Connect RP2040. | + | In this example we use the Arduino Nano Connect RP2040 and a Arduino Nano ESP32. |
The basic steps are | The basic steps are | ||
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* have as first command to the connection to serial port | * 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 | * program the board directly in the notebook, see the output (including sensor streams) directly in the notebook | ||
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== Web pages and Tutorials == | == Web pages and Tutorials == | ||
* https://towardsdatascience.com/micropython-on-esp-using-jupyter-6f366ff5ed9 | * https://towardsdatascience.com/micropython-on-esp-using-jupyter-6f366ff5ed9 | ||
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| + | [[File:Jupyter01.PNG]] | ||
Latest revision as of 17:27, 28 March 2024
Jupyter notebook as development ennvironment for MicroPython[edit]
This explains how to configure a local Jupyter Notebook to develop MicroPython code on an ESP32 or ESP8266 device.
Steps to set it ip[edit]
In this example we use the Arduino Nano Connect RP2040 and a Arduino Nano ESP32.
The basic steps are
- install Python on your computer (or update to the latest version)
- install Jupyter Notebooks on your computer locally
- add the Kernal that allows you to connect to the Board via USB/REPL
- 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[edit]
