Recommended configuration for IoT development using Visual Studio Code on Linux

When developing IoT on Linux, a powerful and widely loved code editor by developers is Visual Studio Code (hereinafter referred to as VS Code). VS Code provides a rich extension library that can help us write, debug and test IoT applications more efficiently. This article will recommend some configurations for using VS Code for IoT development on Linux and give corresponding code examples.

First, we need to install VS Code on Linux. You can download the corresponding installation package through the official website, and then install it according to the prompts. After the installation is complete, we can directly enter the code command in the terminal to start VS Code.

Next, we need to install some extensions developed for the Internet of Things. You can find relevant extensions and install them by clicking the extension icon on the left and entering keywords in the search box. The following are some recommended extensions:

1. PlatformIO IDE: This extension provides a series of tools and functions required for IoT development, including code debugging, firmware burning, etc. You can search and install it in the extension sidebar.
2. Arduino Extension for Visual Studio Code: If you use Arduino for IoT development, this extension can provide a wealth of development tools and libraries to help you write, debug and upload code more conveniently.
3. Python Extension for Visual Studio Code: If you use Python for IoT development, this extension can provide you with intelligent code completion, debugging, unit testing and other functions.

After installing the extension, we can start a new IoT project. First, we need to create a folder as the root of the project. Then, we can open this directory in VS Code and create a new file in it, such as main.py.

Next, we can write the code for the IoT application. If you are developing using Arduino, you can write it in the main.cpp file; if you are developing it using Python, you can write it in the main.py file. The following is a sample code using Arduino and DHT11 sensor:

#include <DHT.h>

#define DHTPIN 5
#define DHTTYPE DHT11

DHT dht(DHTPIN, DHTTYPE);

void setup() {
  Serial.begin(9600);
  dht.begin();
}

void loop() {
  float temperature = dht.readTemperature();
  float humidity = dht.readHumidity();

  Serial.print("Temperature: ");
  Serial.print(temperature);
  Serial.print(" °C    ");
  Serial.print("Humidity: ");
  Serial.print(humidity);
  Serial.println(" %");
  
  delay(2000);
}

The above code uses the DHT11 sensor to read the temperature and humidity and output the results through the serial port.

If you are developing in Python, you can use the following sample code:

import Adafruit_DHT

sensor = Adafruit_DHT.DHT11
pin = 4

while True:
    humidity, temperature = Adafruit_DHT.read_retry(sensor, pin)

    if humidity is not None and temperature is not None:
        print('Temperature: {0:0.1f} °C'.format(temperature))
        print('Humidity: {0:0.1f} %'.format(humidity))
    
    time.sleep(2)

The above code also uses the DHT11 sensor to read the temperature and humidity, and prints the results.

The above are just some basic configuration and code examples. Specific IoT applications need to be developed according to specific circumstances. VS Code provides powerful debugging functions that can help us better understand and debug the running process of the entire application.

In summary, using VS Code for IoT development on Linux can bring a lot of convenience and efficiency improvements. With the right extension installed and the corresponding configuration, we can write, debug and test IoT applications faster. I hope the above recommended configurations and code examples will be helpful to everyone.

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