Here is a beginner’s guide to MicroPython development on the ESP8266 and ESP32 boards using PyCharm IDE. It covers the basics of MicroPython, firmware flashing, and how to set up PyCharm for remote MicroPython development. Additionally, the article includes an example project that demonstrates how to control an LED using MicroPython code.
In this guide, we aim to explore the many aspects of interfacing the I2C protocol with the popular ESP8266 microcontroller. As a versatile and powerful component, the ESP8266 has found its place in numerous IoT projects, primarily due to its WiFi capabilities and low cost.
Here an article that provides a step-by-step guide for getting started with MicroPython development on the ESP8266 and ESP32 boards using the Thonny IDE. The article covers how to flash MicroPython firmware onto the board and how to connect to the board using Thonny’s MicroPython plugin. Additionally, the article includes an example project that demonstrates how to control an LED connected to the board using MicroPython code.
This guide focuses on using MicroPython with ESP8266 and ESP32 microcontrollers, two popular choices for IoT and embedded systems. By understanding the standard instruments available with MicroPython, such as Python, esptool, ampy, PuTTY, and screen, you can quickly and easily build projects for these powerful devices. This guide will provide an overview of each tool and how to use them effectively, so you can take full advantage of the capabilities of your ESP8266 or ESP32 microcontroller.
This latest article in the series explores how to use the BNO055 sensor with ESP32, ESP8266, and Arduino to achieve gyroscope high rate and any motion interrupt. The BNO055 sensor combines an accelerometer, magnetometer, and gyroscope in one module, making it ideal for accurate orientation tracking.
In this article, we are going to integrate into our ESP32 or esp8266 an external flash memory in addition to the internal one.
Whoever has started to peek into the wonderful world of small electronics will undoubtedly have read about Raspberry Pi or Arduino boards. This is where I personally started to ask myself, what is the right board for which project?
The sensor GY-273 QMC5883L clone HMC5883L magnetometer for Arduino, esp8266, and esp32 is cheap and reasonably precise but needs some check for the clone version.
The ADXL345 is a small, thin, ultralow power, 3-axis accelerometer with high resolution (13-bit) measurement at up to ±16 g. This device works with i2c and SPI protocol and Is suitable with Arduino, esp8266, stm32, and esp32.
I must fill a tank 1.5 km away, so I create a 2-part controller.
A server with a relay to manage the pump and a client solar/battery-powered to check the tank’s status and notify the server’s status.
Here, we are going to look at the Server software.