Hands-On Python Hardware Interfacing: USB-6009 DAQ + Arduino

Name: Hands-On Python Hardware Interfacing: USB-6009 DAQ + Arduino
Rating: 4.2 (10 reviews)

Bridge real-world data with NI DAQs, Arduino & SQL. Learn LabVIEW from a CLAD certified expert.

Created byDr. Salim Khan

Last updated 1/2026

English

English [Auto],

What you'll learn

Learn about the Basics of Data Acquisition
Integrating Python with LabVIEW
Digital Signal Generation and Acquisition
Analog Signal Generation and Acquisition

Course content

4 sections • 19 lectures • 1h 54m total length

Introduction3:42
Just Download Python to your System
For Python and NI DAQ Interface
Open Command Window >> Install the NI Daqmx library >> paste given link ( python -m pip install nidaqmx ) in cmd
For Python and Arduino Interface
Open Command Window >> Install the Arduino library >> paste given link ( pip install arduino-python3 ) in cmd
Download Interfacing File
https://github.com/thearn/Python-Arduino-Command-API
Download Code >> Extract it >> Open Arduino-Command-API-master\ sketches\ prototype
Install code using Arduino IDE
Intro2:31
Explore hardware interfacing using Python by programming Arduino and data acquisition cards, enabling control of sensors, actuators, and embedded projects with pid, fuzzy, and neural logic.

Introduction to USB 60092:08
Introduce the USB 6009, a 14‑bit multi‑function input output DAC card with four differential and eight single‑ended analog inputs, two analog outputs, and pins on port 0 and port 1.
Digital Write 6009 DAQ8:53
Use Python to program a NI USB 6009 data acquisition card. Configure device, task, and channels; write and start the task to toggle a digital line.
Multiple Digital Write 6009 DAQ5:02
Learn to generate multiple digital signals with a usb 6009 using python. The lecture shows wiring leds to digital ports, importing an i max library, and configuring digital out channels.
Digital Read 6009 DAQ8:42
Learn to read digital signals with Python using a usb 6009 daq card by configuring a digital input channel, starting a task, reading, and printing the value.
Multiple Digital Read 6009 DAQ3:17
Learn to read multiple digital signals from a USB-6009 DAQ using Python, configuring digital inputs on port zero lines zero and five, and interpreting true/false outputs.
Analog Read - POT7:32
Learn to acquire analog signals with a usb 6000/6009 dac card using Python. Connect a potentiometer with ground, 5 volt, and ai0, and read values via a task-based analog input.
Analog Write Brightness5:40
Learn to generate analog signals with Python using a usb 6009, writing voltages to analog output a0 and setting ranges to adjust led brightness.
Multiple Analog Write Brightness Control4:56
Learn to generate multiple analog signals with any usb 6009 card using python, control two analog outputs from 0–5 volts, and adjust brightness of leds in real time.
Multiple Analog Read POT and Touch sensor4:36
Acquire multiple analog signals with a mne USB DAC card using Python, wiring a potentiometer and a capacitive touch sensor in differential mode and reading them in a loop.
Blink Led For Loop8:42
Demonstrates using a Python for loop to generate blink LED signals through a digital output, with timing controlled by sleep and live value printing for hardware interfacing.
Brightness Control numpy library3:45
Learn to control LED brightness using Python and the numpy library by outputting a voltage ramp through an analog output channel, with adjustable timing.

Digital Signal Generation Using Python7:56
Generate a digital signal with Python by interfacing an Arduino, configure the serial port and baud rate, set pin 11 as output, and run a script to blink the pin.
Digital Signal Acquisition Using Python8:03
Multiple Digital Signals Generation Using Python7:51
Generate multiple digital signals using Python with Arduino by installing the Arduino library for Python, configuring pins 11, 9, and 7, and driving LEDs with high and low states.
Multiple Digital Read9:48
Acquire four digital signals from an Arduino using Python by wiring pins 11, 12, 6, and 7, uploading the sketch, and reading high and low states with a Python script.
Acquire Analog Signal Generate Digital Signal3:38
Learn how to acquire an analog signal from a potentiometer and generate a corresponding digital signal using Python and an Arduino, including reading, converting, and driving an LED.
IR Sensor7:52
Learn to interface an infrared (IR) sensor with an Arduino using Python, reading digital and analog outputs to detect objects and measure sensor voltage with a 5-volt supply.

Requirements

Basic Knowledge of Python

Description

Welcome to the "Hardware Interfacing Using Python" course! This course introduces you to the fundamentals of interfacing with hardware devices using Python. In today's world, where technology is ubiquitous, connecting and interacting with hardware components is a valuable skill for many applications, including robotics, Internet of Things (IoT) devices, and automation systems.

Hardware interfacing refers to the process of connecting and communicating with hardware devices, such as sensors, actuators, motors, and other electronic components, using a software interface. Python is a popular programming language that provides robust support for hardware interfacing through various libraries and modules.

Advantages of using Python for hardware interfacing:

Simplicity and ease of use: Python has a clean and readable syntax, making it accessible for beginners and experienced developers alike. It allows you to write concise and expressive code, reducing the complexity of hardware interfacing tasks.
Cross-platform compatibility: Python is a versatile language that runs on various platforms, including Windows, macOS, Linux, and embedded systems like Raspberry Pi and Arduino. This cross-platform compatibility allows you to interface with hardware devices regardless of the operating system.
Extensive library support: Python offers a wide range of libraries and modules specifically designed for hardware interfacing. These libraries provide high-level abstractions, making it easier to interact with sensors, actuators, and other devices. They handle low-level details such as data transmission protocols, allowing you to focus on the higher-level logic of your application.
Integration with other technologies: Python seamlessly integrates with other technologies commonly used in the hardware domain, such as data analysis, machine learning, and web frameworks. This allows you to leverage Python's extensive ecosystem for data processing, analysis, visualization, and control of hardware devices.

Hardware + Python = The Future

If you wish to interface quickly with Python functions, this course is for you.
To create applications with more effective interfaces, you can experiment with different design templates, frameworks, and OOP structures in the LabVIEW environment.
You can also employ this incredible team to perform numerous assignments for your academic studies, thesis, and projects!

Based on the success of previous students in the course and their final grades, you can rest assured that you will acquire the knowledge necessary to begin using Python immediately after finishing the course.

Who this course is for:

Students, Industry Persons

Hands-On Python Hardware Interfacing: USB-6009 DAQ + Arduino

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 6min

USB DAQ using Python11 lectures • 1hr 3min

Arduino using Python6 lectures • 45min

Test Your Knowledge0

Requirements

Description

Who this course is for: