This article is an example of using the Arduino framework’s NTP and TimeLib libraries with either the ESP-01s (Figure 1) or esp8266 to report the current time via the web served by the esp8266, which in this example is called NTPClient and TimeLib libraries. An Internet connection is required to read the date and time from an NTP provider such as time.nist.gov.
This article is an example program for cases where you want to display the temperature and humidity bar as shown in Figure 1 with MicroPython and esp32 board with OLED. How to write? The equipment in this experiment used DHT22 as a humidity and temperature measurement device. The board is connected to the I2C bus to communicate with the OLED via pins GPIO4 and GPIO5 for SCL and SDA respectively. At the same time, the signal pin of DHT22 is connected to pin GPIO15 for communication between the sensor and the microcontroller.
This article is an application of Python’s list data structure to store the frequency count of random numbers which is useful for further statistical use. This article relies on knowledge of random numbers and using list type variables tested with Micropython on esp8266 and esp32 microcontrollers.
This article is an application of Python programming for Micropython used with esp8266 or esp32 attached to DHT11 for temperature and humidity storage. The last 10 temperature results collected every 5 seconds are reported as shown in Figure 1.
This article introduces the use of the list class in Micropython as a queue data structure with a limited number of members. It works according to the FIFO (First-In-First-Out) principle, which can be applied in a variety of applications, such as being used as a storage, and when the data is full but we need to insert new data, the old data must be pop out. The example in this article uses the dCore-miniML board (Figure 1) to read the temperature of the chip and store it in a Queue structure and display it in a bar graph and Micropython implemented firmware version 1.16 (2021-06-23) for the ESP Module (SPIRAM).
This article discusses Python multi-threaded programming. Compiled from the website tutorialspoint.com (Make this article a memo). Running multiple threads is like running several different programs at the same time, but it’s useful:
This article discusses using a Ticker with an ESP8266 microcontroller to generate clock interrupts instead of delaying with delay(), the amount of time spent by looping with delay() is used to do other things and create efficiency for the developed software.
pyglet is a Python library to create windows and cross-platform multimedia on Windows (Windows), MacOS (macOS) and Linux (Linux) for developing games or visualization applications. The library itself supports creating windows, integration with users through an event-based system, support OpenGL graphics, image/video loading support, and playing music. This article discusses installing and using pyglet on Raspberry Pi 3 B+ and Raspberry Pi 4 as a test device.
From the article on using the ESP8266 with an OLED graphical display written in Python, you’ll find that it’s fast and easy but when used with other microcontrollers that cannot use Micropython or CircuitPython, what must be done? One of the many options is the u8glib or u8g2 (Universal 8 bit Graphics Library) libraries, designed to work with monochromatic 8-bit graphics over either I2C or SPI communication. In this article, we are using I2C OLED as shown in Figure 1.
From the previous ulab article, it was found that Micropython can implement the same dataset processing instructions as used in Numpy through the previous ulab library v.0.54.0 which is the older version of ulab (currently v.3.0.1) brought up this article. This article describes how to create a Micropython that integrates the ulab library and uses it with SPIRAM versions of esp32.
ulab3
From Figure 1, it can be seen that the structure of the ulab library has changed from the original. This causes the programming from the previous example to have to be modified. Under ulab there are libraries of numpy and scipy. The details of numpy that are supported are as follows.
