Uploaded August 2024 | Updated September 2026, 2 weeks ago
#python #pythontutorial #pythoncourse
This is a quick introduction to the Python programming language.
If you would like to learn more, I have a FREE 12-hour course on my YouTube channel and a separate playlist with 90 videos.
*Python 12 Hour Full Course for free* ๐: youtube.com/watch?v=ix9cRaBkVe0
*My original Python 12 Hour course* ๐: youtube.com/watch?v=XKHEtdqhLK8
*Full Python playlist* ๐: youtube.com/watch?v=Sg4GMVMdOPo&list=PLZPZq0r_RZOOkUQbat8LyQii36cJf2SWT
#1 (00:00:00) introduction to python ๐
(00:00:19) python interpreter download
(00:01:00) pycharm download
(00:02:36) new project
(00:02:57) new python file
(00:03:26) print()
#2 (00:05:21) variables โ
#3 (00:09:51) arithmetic ๐งฎ
#4 (00:15:03) typecasting ๐ฑ
#5 (00:20:10) user input โจ
#6 (00:24:45) if statements ๐ค
#7 (00:32:55) logical operators ๐ฃ
#8 (00:40:24) while loops โพ
#9 (00:45:05) for loops ๐
#10 (00:48:28) countdown timer ๐
#11 (00:50:14) lists, tuples, sets ๐
Python Interpreter: python.org
PyCharm IDE: jetbrains.com/pycharm
#python #pythontutorial #pythoncourse
This is a quick introduction to the Python programming language.
If you would like to learn more, I have a FREE 12-hour course on my YouTube channel and a separate playlist with 90 videos.
*Python 12 Hour Full Course for free* ๐: youtube.com/watch?v=ix9cRaBkVe0
*My original Python 12 Hour course* ๐: youtube.com/watch?v=XKHEtdqhLK8
*Full Python playlist* ๐: youtube.com/watch?v=Sg4GMVMdOPo&list=PLZPZq0r_RZOOkUQbat8LyQii36cJf2SWT
#1 (00:00:00) introduction to python ๐
(00:00:19) python interpreter download
(00:01:00) pycharm download
(00:02:36) new project
(00:02:57) new python file
(00:03:26) print()
#2 (00:05:21) variables โ
#3 (00:09:51) arithmetic ๐งฎ
#4 (00:15:03) typecasting ๐ฑ
#5 (00:20:10) user input โจ
#6 (00:24:45) if statements ๐ค
#7 (00:32:55) logical operators ๐ฃ
#8 (00:40:24) while loops โพ
#9 (00:45:05) for loops ๐
#10 (00:48:28) countdown timer ๐
#11 (00:50:14) lists, tuples, sets ๐
Python Interpreter: python.org
PyCharm IDE: jetbrains.com/pycharm
![NumPy aggregate functions are easy! ๐
#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! ๐](https://i.ytimg.com/vi/8pUBr05OQfs/mqdefault.jpg)

![Learn Java arrays in 9 minutes! ๐
#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! ๐](https://i.ytimg.com/vi/9dr2mHYYoug/mqdefault.jpg)







