From 7ab0bccd1169840f9002df4e918ce933039b4cbb Mon Sep 17 00:00:00 2001 From: Clayton Walker Date: Sun, 10 Apr 2016 21:31:06 -0400 Subject: [PATCH] Update README.md --- README.md | 26 +++++++++++++------------- 1 file changed, 13 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index ee2816e..507fbbb 100644 --- a/README.md +++ b/README.md @@ -2,19 +2,19 @@ Web server using a Raspberry Pi and DHT22 sensor to graph the humidity and temperature in my apartment over time. The data can be accessed over a web browser. Skills I learned during this project: --Setup the minimal Raspbian operating system to the RPi, called Minibian --Install and use Python, and the Python virtual environment --Install and use Flask, a Python-based web micro-framework --Install and use uWSGI as the application server for Flask --Install and use Nginx light-weight web server --Use Skeleton to make the web UI look better --Use the RPi GPIOs as digital input and outputs --Use a DHT22 humidity and temperature sensor --Install and use the SQLite database to store sensor data --Add a cron job to store sensor data every so many minutes --Use the Google Chart API to create visual representations of the sensor data --Use Javascript/JQuery to add interactivity to web pages --Use Plotly for graphical analysis of sensor data +- Setup the minimal Raspbian operating system to the RPi, called Minibian +- Install and use Python, and the Python virtual environment +- Install and use Flask, a Python-based web micro-framework +- Install and use uWSGI as the application server for Flask +- Install and use Nginx light-weight web server +- Use Skeleton to make the web UI look better +- Use the RPi GPIOs as digital input and outputs +- Use a DHT22 humidity and temperature sensor +- Install and use the SQLite database to store sensor data +- Add a cron job to store sensor data every so many minutes +- Use the Google Chart API to create visual representations of the sensor data +- Use Javascript/JQuery to add interactivity to web pages +- Use Plotly for graphical analysis of sensor data ## YouTube