## [EN]Calculate Regression with NumPy.

This article is to convert the implementation of the regression model from the article of ESP32-C3 to NumPy on Raspberry Pi and PC and use the display as Matplotlib, as shown in Figure 1, which can be found from the previous article. The temperature and humidity from the 1-day data were obtained from parameters a and b of the regression equation and the resulting equation or model was used to determine the possible temperature values over the 1 day.

## [EN] Unity3D The great game maker

This article introduces Unity3D, a very popular game creation program. Because there are so many facilities needed to make a game. Called quite complete, such as the manipulation of three-dimensional objects, gravity, system movement of objects, can create games on multiple platforms for example. Controlling objects requires knowledge of a programming language which can be practiced.

## [EN] How to make the stopwatch?

From the article Create a clock that displays an analog display through a color display, this time, it has been modified to make it work as a timer or stopwatch by using the ESP32-CAM board connected to the TFT display and using a switch from pin GPIO0 used as a mode switch or program chip when booting the system or supply power to board ESP32-CAM as shown in Figure 1 and programming still uses Python language with MicroPython as always

## [EN] Binary Search Tree data structure programming with Python.

In the previous article, programming to implement queue-based data structures was introduced. In this article, we introduce programming to manage another type of data structure which has different storage and management methods called BST tree or Binary Search Tree, as shown in Figure 1, which is a structure that can be applied to data collection with attributes in which the data in the left branch is less than itself and the right branch is greater than itself or the opposite, i.e. the left branch has a greater value and the right branch is less. It enables searching for data in cases where the tree is balanced on the left and right in the BST structure, saving half the time or number of search times per round of available data, e.g. 100 data sets in the first round if it is not the information you are looking for will be left with a choice to find from the left or right branches which the selection causes the information of the other side is not considered or cut off approximately half. However, if the Binary Search Tree is out of balance, the search speed is not much different from the sequential search.

In this article, we use Python that works on either a Python 3 or MicroPython interpreter to store the data, adding information ,searching for information as an example of further development.

## [EN] The MaixPy’s image class Part 1. draw and find something.

This article discusses how to use image class with TFT-LCD display module of Sipeed M1W dock suit board via lcd class (MaixPy’s lcd class) as shown in Figure 1 provided with MaixPy to study the list of commands provided by image class and an example program using commands about creating a buffer object, clearing the value in the buffer, deleting the buffer, drawing straight lines, circles, squares, character display, saving data from the buffer to memory card (microSD Card), searching for straight lines in buffer (find_lines), finding circles in the buffer, find_circles and find squares (find_rects) in buffers with built-in functionality. It uses the Hough Transform principle to find the position and parameters of the searched object.

## [EN] The MaixPy’s lcd class.

This article discusses the use of the Sipeed M1W dock suit’s TFT-LCD module via the lcd class (MaixPy’s lcd class) built into the MaixPy, a module that allows programmers to use it with the efficiency of that class is high.

## [EN] Maix Class

This article compiles a list of the classes that fall under the Maix class MaixPy, the MicroPython of the Sipeed M1W dock suit board (Figure 1) previously mentioned.

## [TH]Calculate Regression with NumPy.

บทความนี้เป็นการแปลงการใช้งานโมเดลรีเกรสชันจากบทความของ ESP32-C3 มาเป็น NumPy บน Raspberry Pi และ PC พร้อมทั้งใช้การแสดงผลเป็น Matplotlib ดังภาพที่ 1 ซึ่งจะพบว่า จากบทความก่อนหน้านี้ได้นำค่าอุณหภูมิและความชื้นจากข้อมูล 1 วันมาหาพารามิเตอร์ a และ b ของสมการถดถอยหรือรีเกรสชัน (regression) และนำสมการหรือโมเดลที่ได้นี้มาหาค่าของอุณหภูมิที่เป็นไปได้ในช่วงเวลา 1 วัน