物联网python教程慕课_物联网小白入门
你將學(xué)到什么
Definition of IoT devices
Use cases and scenarios for IoT
IoT hardware including Arduino and Espressif SoCs
IoT sensors and actuators, their connectivity and its programmatic control
Programming in C++ general and specific for aforementioned SoCs
IP networking principles for Espressif SoCs.
課程概況
This course covers an overview of selected IoT technologies, tools and methods. Firstly you’ll find out what is IoT then we will guide you through the popular IoT hardware, including Arduino and Espressif ESP8266 and ESP32 System on Chips, sensors and actuators, finally through the introduction to the networking. Right enough for now to let you understand IoT idea, start programming and embrace IoT technology. Even configure your devices to talk to your home network and send data over MQTT to the cloud.
In details we discuss deeply the genesis of the IoT, enabling technologies that made IoT devices to hit over 20 billion of the devices to be interconnected by 2020. We also make a short review of the popular scenarios that extensively utilise IoT approach and devices. Once you get an IoT overview, it is time to step into the technical details. In the following part of the course, we will introduce you to the Arduino microcontrollers, Espressif ESP8266 and ESP32 as well as a number of popular sensors and actuators. Following section is on microcontrollers programming in popular Arduino IDE. Finally, we will introduce you to the IoT networking. In this course we use regular IP network with elementary MQTT application protocol presentation.
Course contains example codes in C++, usually “Hello World” style, including networking, communication with sensors and actuators and even short programming in C++ crash course.
預(yù)備知識
Secondary school (high school) physics; algorithmic.
Elementary understanding of computer networks, in particular IP networking.
創(chuàng)作挑戰(zhàn)賽新人創(chuàng)作獎勵來咯,堅(jiān)持創(chuàng)作打卡瓜分現(xiàn)金大獎總結(jié)
以上是生活随笔為你收集整理的物联网python教程慕课_物联网小白入门的全部內(nèi)容,希望文章能夠幫你解決所遇到的問題。
- 上一篇: 减幅怎么算
- 下一篇: python数据分析师工作内容_数据分析