Published 12/2022Created by Mubeen AliMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 33 Lectures ( 5h 8m ) | Size: 3.24 GB
Importing and reading sensor data in python and saving in csv and excel file Inserting and retrieving sensors data in Google big query database Python library plotly dash Stream sensors data in python plotly dash application in real Deploy python plotly dash application on Google cloud server Basic knowledge of Python programming language. Basic knowledge of Plotly Dash library. Basic knowledge of CSS. Basic knowledge to write the code in Arduino IDE, create circuit diagrams and read sensor values in serial monitors. Google cloud platform account. In this course you will learn how to insert sensor data in the database and stream the data in real in a python application. You will learn here how to create a user interface using the python library plotly dash and deploy the application on a cloud server to view data in real . I have used DHT22 and MQ-135 sensors to measure temperature, humidity and level of carbon dioxide in the inside room and outside atmosphere. I have used the microcontroller Arduino and generated the data after each 5 seconds and then inserted the same in the database. And then created the application in python using plotly dash application to retrieve data in this application and stream that data in real . You will learn step by step how to use this application and how to create multi page and update data automatically over the selected period of without refreshing the page.After learning this course, you will be able to create your own application e.g. you can use different gas sensors, smoke sensors in your home to record data and after inserting in the database, you can monitor your house in your mobile and overcome any risks within by creating your own application. This course is for those who want to build their own real data applications and IOT applications. HomePage: gfxtra__Sensor_dat.part1.rar.html gfxtra__Sensor_dat.part2.rar.html 
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