2.3.2. Jupyter Notebook

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, explanatory text, and direct control or monitor hardware. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more.

2.3.2.1. Features

• In-browser editing of code, with automatic syntax highlighting, indentation, and tab completion/introspection.

• The ability to execute code from the browser, with the results of computations attached to the code which generated them.

• Displaying the result of computation using rich media representations, such as HTML, LaTeX, PNG, SVG, etc. For example, publication-quality figures rendered by the matplotlib library can be included inline.

• In-browser editing for rich text using the Markdown markup language, which can provide commentary for the code, is not limited to plain text.

• The ability to easily include mathematical notation within markdown cells using LaTeX, and rendered natively by MathJax

2.3.2.1.1. Notebook documents

Notebook documents contain the inputs and outputs of an interactive session as well as additional text that accompanies the code but is not meant for execution. In this way, notebook files can serve as a complete computational record of a session, interleaving executable code with explanatory text, mathematics, and rich representations of resulting objects. These documents are internal JSON files and are saved with the .ipynb extension. Since JSON is a plain text format, they can be version-controlled and shared with colleagues.

Notebooks may be exported to a range of static formats, including HTML (for example, for blog posts), reStructuredText, LaTeX, PDF, and slide shows, via the nbconvert command.

Furthermore, any .ipynb notebook document available from a public URL can be shared via the Jupyter Notebook Viewer (nbviewer). This service loads the notebook document from the URL and renders it as a static web page. The results may thus be shared with a colleague, or as a public blog post, without other users needing to install the Jupyter notebook themselves. In effect, nbviewer is simply nbconvert as a web service, so you can do your own static conversions with nbconvert without relying on nbviewer.

2.3.2.2. Hardware – Extension module

Although the usage of the Jupyter notebook does not require any additional hardware except the RedPitaya board, getting started with electronics is way more fun and interesting when you have loads of sensors that you can put to good use straight away. Whether you want to measure temperature, vibration, movement, etc., we have an extension module compatible with Grove modules from Seeed®. All you need to do is to select the desired module, find the correct connector, and get going with your project. We have also placed the Arduino shield headers on the extension module.

The headers enable you to directly connect a variety of different Arduino Uno shields. There is a wide range of Arduino Uno shields. The extension module can be powered from the external power supply via a micro USB connector. A set of nine JUMPERS is used for reconnecting certain extension module connectors to different E1 or E2 pins or changing power supply settings. For example, with J1 and J3, you can set the source of VCC-external or from Red Pitaya. A full schematic of the extension module is available on our website.

Note

The extension module is available for purchase from Red Pitaya store.

2.3.2.2.1. Connectors

The black connectors on the sides are compatible with Arduino. The white connectors on the front provide analog inputs, and there are two rows of grey connectors at the centre which provide digital I/O, UART, I2C, or analog outputs. On the bottom, there are connectors to the Red Pitaya board.

2.3.2.2.1.1. Grove module connectors

These are dedicated connectors compatible with Grove modules.

There are six connector types available:

• AI Analog input (0 - 3.3 V)

• AO Analog output

• I2C (3.3 V)

• UART (3.3 V)

• DIO Digital input/output (3.3 V, not 5 V tolerant)

conn.	CN0	CN1	CN2	CN3	CN4	CN5	CN6	CN7	CN8	CN9	CN10	CN11	CN12
type	AI	AI	AI	AO	I2C	I2C	I2C	UART	DIO	DIO	DIO	DIO	DIO
1	AI0	AI1	AI2	AO0	SCL	SCL	SCL	RX	IO8	IO6	IO4	IO2	IO0
2	AI1	AI2	AI3	AO1	SDA	SDA	SDA	TX	IO9	IO7	IO5	IO3	IO1
3	VCC	VCC	VCC	VCC	VCC	VCC	VCC	VCC	VCC	VCC	VCC	VCC	VCC
4	GND	GND	GND	GND	GND	GND	GND	GND	GND	GND	GND	GND	GND

2.3.2.2.1.2. Arduino shield compatible connectors

This set of connectors is partially compatible with the Arduino shield connector.

function	pin	comment
IO0	1	D[0]
IO1	2	D[1]
IO2	3	D[2]
IO3	4	D[3]
IO4	5	D[4]
IO5	6	D[5]
IO6	7	D[6]
IO7	8	D[7]

function	pin	comment
IO8	1	D[8]
IO9	2	D[9]
IO10	3	D[10]
IO11	4	D[11]
IO12	5	D[12]
IO13	6	D[13]
GND	7
AREF	8	not connected
SDA	9	I2C_SDA
SCL	10	I2C_SCL

function	pin	comment
A6	1	not connected
A7	2	not connected
Reset	3	not connected
+3.3 V	4
+5.0 V	5
GND	6
GND	7
+VIN	8	not connected

2.3.2.3. Sensors

Sensor information	Connector
Temperature sensor	AI
Motion sensor	DIO
Touch sensor	DIO
Button	DIO
Switch	DIO
Digital
Tilt	DIO
Potentiometer	AI
Light sensor	AI
Air quality sensor	AI
Vibration sensor	AI
Moisture sensor	AI
Water sensor	AI
Alcohol sensor	AI
Barometer not supported at the moment	I2C
Sound sensor	AI
UV sensor	AI
Accelerometer not supported at the moment	I2C

Actuators	Connector
Relay	DIO

Indicators	Connector
Buzzer	DIO
LED	DIO
7 segment display	Digital pins
LED bar	Digital pins
Groove LCD	Digital pins
LCD	Digital pins

2.3.2.4. Examples

1. Drive LEDs

2. Control GPIOs

3. Write slow analog I/Os

4. Read slow analog I/Os

5. Generator:

   1. Generate periodic sine wave

   2. Generate periodic arbitrary signal

   3. Two synchronized generators

   4. Burst mode

6. Oscilloscope:

   1. Forced trigger

   2. Level trigger

   3. Two synchronized channels

   4. Synchronized with generator

7. Demo applications using widgets:

   1. Generator

   2. Oscilloscope

8. Grove sensors

   1. Temperature sensor

   2. Home heating automation