Uploaded July 2024 | Updated September 2026, 2 weeks ago
#pythontutorial #python #pyqt5
# PyQt5 images
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel
from PyQt5.QtGui import QPixmap
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setGeometry(700, 300, 500, 500)
label = QLabel(self)
label.setGeometry(0, 0, 500, 500)
pixmap = QPixmap("profile_pic.jpg")
label.setPixmap(pixmap)
label.setScaledContents(True)
label.setGeometry((self.width() - label.width()) // 2,
(self.height() - label.height()) // 2,
label.width(),
label.height())
def main():
app = QApplication(sys.argv)
window = MainWindow()
window.show()
sys.exit(app.exec_())
if __name__ == "__main__":
main()
#pythontutorial #python #pyqt5
# PyQt5 images
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QLabel
from PyQt5.QtGui import QPixmap
class MainWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setGeometry(700, 300, 500, 500)
label = QLabel(self)
label.setGeometry(0, 0, 500, 500)
pixmap = QPixmap("profile_pic.jpg")
label.setPixmap(pixmap)
label.setScaledContents(True)
label.setGeometry((self.width() - label.width()) // 2,
(self.height() - label.height()) // 2,
label.width(),
label.height())
def main():
app = QApplication(sys.argv)
window = MainWindow()
window.show()
sys.exit(app.exec_())
if __name__ == "__main__":
main()


![NumPy aggregate functions are easy! 📊
#coding #python #numpy
import numpy as np
# Aggregate functions = summarize data and typically return a single value
array = np.array([[1, 2, 3, 4, 5],
[6, 7, 8, 9, 10]])
print(np.sum(array)) # Sum of all elements
print(np.mean(array)) # Average of all elements
print(np.std(array)) # Measure of spread
print(np.var(array)) # Square of standard deviation
print(np.min(array)) # Smallest value
print(np.max(array)) # Largest value
print(np.argmin(array)) # Position (flattened) of smallest
print(np.argmax(array)) # Position (flattened) of largest
print(np.sum(array, axis=0)) # sum column-wise (vertically)
print(np.sum(array, axis=1)) # sum row-wise (horizontally) NumPy aggregate functions are easy! 📊](https://i.ytimg.com/vi/8pUBr05OQfs/mqdefault.jpg)

![Learn Java arrays in 9 minutes! 🍎
#java #javatutorial #javacourse
import java.util.Arrays;
public class Main {
public static void main(String[] args){
// array = a collection of values of the same data type
// * think of it as a variable that can store more than 1 value *
String[] fruits = {apple, orange, banana, coconut};
//fruits[0] = pineapple;
//int numOfFruits = fruits.length;
//Arrays.sort(fruits);
//Arrays.fill(fruits, pineapple);
for(String fruit : fruits){
System.out.println(fruit);
}
}
} Learn Java arrays in 9 minutes! 🍎](https://i.ytimg.com/vi/9dr2mHYYoug/mqdefault.jpg)





