用ESP8266 & MicroPython开发物联网系统 | Build Internet of Things with ESP8266 & MicroPython

本课程简要介绍了物联网，使学生/爱好者可以通过NodeMCU硬件和支持传感器以最快的方式创建非常简单和有用的应用程序。

通过Raspberry pi教授物联网的常规课程可能会产生30至50美元的成本，其中包括使用不同的传感器来完成学习过程的费用，因为该课程使用的是NodeMCU这样的硬件，它是开源，交互式，低成本，简单，智能和WI的由ESP8266提供支持-FI的硬件

常规课程使用C / C ++语言进行编码，而本课程则重点介绍MicroPython的使用，它是Python 3编程语言的精益和高效实现，其中包括Python标准库的一小部分，并且经过优化可在微控制器和受限制的环境中。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 49 lectures (4h 35m) | Size: 2.1 GB
Realise your Apps using various sensors(Temp, Humidity,Gas& Motion), displays(N5110,SSD1306), also Bind Apps to Google.

What you’ll learn:
How to create smart IOT applications over NodeMCU hardware Using MircroPython through PyCharm IDE ?
How to use PyCharm as IDE for Code Development & Flashing ?
How to use Vibration / Temperature / Humidity / Gas / LiDAR Sensors ?
How to use Adafruit, Thingspeak, apps for Analysis & Visualization of Data Grabbed from different Sensors ?
How to use Google Voice and IFTTT to make complex ” voice based device control ” applications simple ?
How to use LCD Display Interfaces like SSD1306, Nokia 5110 ?
What is JSON format and how to use it with IoT applications ?

Requirements
Windows10 Computer
Little Knowledge on Basic Electronics
A Bread Board with a bunch of jumper wires and supply MB102(Optional) (Costs 4$)
ESP8266 NodeMCU-V3 Board(Costs 3$, where as a PyBoard costs you 10 times)
RGB LED(Costs 0.5$)
Motion Sensor SW420 (Costs 0.75$)
Temperature and Humidity Sensor DHT11(Costs:1$)
PyCharm(Free)
Urge to Complete Course
[For New Lectures] 128 x 64 OLED Display – SSD1306 (Costs 1$)
[For New Lectures] uLiDAR Moule – VL6180x (Costs 3$)
[For New Lectures] Nokia 5110 Display (Costs 1.7$)

Description
Updates:

UPDATE 8 : Project 8 How to Push Sensor Data to Google Sheets for Data Logging ? (based on Lab 4 and Project 7)

UPDATE 7 : Project 7 from UPDATE 5 and 6 Labs, pushing notifications up on an alarming activity

UPDATE 6 : Using NodeMCU with Pushbullet for Push notification on Mobiles and other devices

UPDATE 5 : Using MQ135 Sensor for Gas Detection and Decision Making

UPDATE 4 : Using Nokia5110 Display with NodeMCU, Parsing JSON Data with NodeMCU, Creating a Weather Station Dashboard using NodeMCU and Nokia 5110 Display

UPDATE 3: Using LiDAR for IOT Apps, A lecture on Gesture recognition using VL6180x is added to bonus lectures, vl6180x from STMicroElectronics is a popular sensor for mobile phones, which can also be used for IOT Apps, Have a look for new Ideas

UPDATE 2 : After Request from Students Asking about interfacing a display, we have uploaded few bonus lectures on working with SSD1306, a 128 x 64 OLED display, after taking these labs you will be able to draw objects, display your own images and run gif images over SSD1306

UPDATE 1 : After listening to candidates expressing their discomfort with instructor’s accent ,Captions(CC) of all Lectures in the course are properly transcribed now and are not automatic(annoying)

Description :

This course gives a brief introduction to IOT and enables the students/enthusiasts to create very easy and useful applications through NodeMCU hardware and supporting sensors in a fastest way.

Regular courses which teach IOT through Raspberry pi may incur a cost of 30 – 50 $ including different sensors to complete the learning process, where as this course uses hardware like NodeMCU which is Open-source, Interactive, Low cost, Simple, Smart and WI-FI enabled hardware powered by ESP8266

Regular courses use C/ C++ language to code,Where as this course emphasizes more on the use of MicroPython which is a lean and efficient implementation of the Python 3 programming language that includes a small subset of the Python standard library and is optimised to run on microcontrollers and in constrained environments.

This Course uses popular PyCharm IDE from Jetbrains available free as community edition

Course is completely experimental / lab based and has no boring lectures and introductory graphics

It shows how to interface and grab data from sensors like Vibration, Temperature, Humidity, Pressure

It teaches how to post / visualize the data grabbed from sensor on to internet, visualization brokers/interfaces like Thingspeak and Adafruit.IO are used

Apart from visualization the course also teaches how to control IOs/devices connected to NodeMCU hardware through internet from any place in the world using Google Voice Assistant and If This Then That (IFTTT) platforms

Our rationale to build/teach this course: We went through different courses on IOT and found that there is need for a course which can teach people about building IOT Apps under limited budget

Who this course is for
Hobbyists, Electronics Beginner, Electronics Professionals

同系列课程：

NodeMCU+MicroPython物联网IOT开发教程 | IOT using NodeMCU(Powered by ESP8266), MicroPython & PyCharm