Things DAQ

This repository contains the Python code used throughout the posts in my blog Things DAQ.

Posts with code

This is a living list and it is updated as posts containing example code are created:

GitHub Folder	Things DAQ Post
Circular-Buffer	Circular Buffer in Python
Pulse-Rate-Monitor	Pulse Rate Monitor with Raspberry Pi
thingsdaq	Python Modules and Packages
LED Dimmer	LED Dimmer with Raspberry Pi
Curve Fitting	Curve Fitting with Tangent and Inverse Tangent
Line Sensor	Line Tracking Sensor for Raspberry Pi
Joystick	Joystick with Raspberry Pi
Ultrasonic-Sensor	Ultrasonic Sensor with Raspberry Pi
Temperature-Sensor	Temperature Sensor with Raspberry Pi
LED-Display	7-Segment LED Display with Raspberry Pi
Motor-Characterization	DC Motor Characterization
Event-Detection	Event Detection in Signal Processing
Motor-Position-Tracking	DC Motor Position Tracking
Motor-Position-Control	Motor Position Control with Raspberry Pi
Motor-Speed-Control	Motor Speed Control with Raspberry Pi
Digital-PID	Digital PID Controller
Digital-Filtering	Digital Filtering
DAC-Class	Python DAC Class
Encoder-Pi	Encoder with Raspberry Pi
H-Bridge-Pi	H-Bridge and DC Motor with Raspberry Pi
Class-vs-Function	Classes vs. Functions in Python
DAC-Pi	DAC with Rapsberry Pi
DAC	Digital-to-Analog Conversion
MCP3008-Pi	MCP3008 with Raspberry Pi
ADC	Analog-to-Digital Conversion
Prescribed-PWM	Prescribed PWM duty cycle

Important note:

I use two plotting libraries in my code examples: matplotlib and plotly

One way I got them to work with the right numpy version was running the following commands in a Pi terminal:

sudo apt update

sudo apt remove python3-numpy

sudo apt-get install libatlas-base

sudo apt install python3-matplotlib

sudo apt install python3-plotly

• Installing matlplotlib will automatically install the right numpy version.
• To my understanding, libatlas-base insures compatiblity with the Pi-based numpy installation.