#VSC

PYTHON CODING

import speedtest def check_speed(): st = speedtest.Speedtest() st.get_best_server() download_speed = st.download() / 1000000 upload_speed = st.upload() / 1000000 print(f"Download Speed: {download_speed: .2f} MBps") print(f"Upload Speed: {upload_speed: .2f} MBps") check_speed() [Running] python3 -u "/Users/name/test/test847.py" Download Speed: 138.91 MBps Upload Speed: 60.06 MBps [Done] exited with code=0 in 25.254 seconds #Python #PythonCoding #VSC Determine your spee

waclaw_koscielniak

8 hours ago1 min read

PYTHON CODING

from sklearn.preprocessing import MinMaxScaler import numpy as np scaler = MinMaxScaler() data = np.array([[2], [4]]) print(scaler.fit_transform(data)[0][0]) [Running] python3 -u "/Users/name/test/test947.py" 0.0 [Done] exited with code=0 in 1.531 seconds #Python #PythonCoding #VSC Try to verify it.

waclaw_koscielniak

13 hours ago1 min read

PYTHON CODING

import statsmodels.api as sm X = sm.add_constant([1,2,3,4]) Y = [2,4,6,8] model = sm.OLS(Y, X).fit() print(model.params.tolist()) [Running] python3 -u "/Users/name/test/test485.py" [0.0, 1.9999999999999996] [Done] exited with code=0 in 1.967 seconds #Python #PythonCoding #VSC Try to run it.

waclaw_koscielniak

2 days ago1 min read

PYTHON CODING

import turtle t = turtle.Turtle() screen = turtle.Screen() screen.bgcolor("black") colors = ["red", "blue", "orange", "DarkViolet", "green", "purple", "brown", "cyan", "DarkBlue"] for i in range(9): t.color(colors[i]) for _ in range(25): t.forward(100) t.right(64) t.right(100) turtle.done() #Python #PythonCoding #VSC Try your own version.

waclaw_koscielniak

4 days ago1 min read

PYTHON CODING

import time from datetime import datetime while True: now = datetime.now() current_time = now.strftime("%H:%M:%S") print("Digital Clock:", current_time) time.sleep(10) #Python #PythonCoding #VSC [Running] python3 -u "/Users/name/test/test935.py" Digital Clock: 15:56:31 Digital Clock: 15:56:41 [Done] exited with code=null in 11.946 seconds Try to run it.

waclaw_koscielniak

5 days ago1 min read

PYTHON CODING

import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 15, 1000) y1 = np.exp(-0.1*x) * np.sin(x) y2 = np.cos(x + np.pi/2) + 0.1 plt.fill_between(x, y1, y2, color='yellow', alpha=0.4) plt.plot(x, y1, color='blue') plt.plot(x, y2, color='red') plt.title("Filled Area") plt.xlabel("x") plt.ylabel("y1 & y2") plt.show () #Python #PythonCoding #VSC Try your own version.

waclaw_koscielniak

6 days ago1 min read

PYTHON CODING

import matplotlib.pyplot as plt import numpy as np theta = np.linspace(0, 12*np.pi, 500) r = theta**(np.cos(theta/4)) plt.polar(theta, r, color='red', linewidth=3) plt.title("Polar Plot") plt.show() #Python #PythonCoding #VSC Try to run it.

waclaw_koscielniak

Oct 151 min read

PYTHON CODING

import numpy as np import matplotlib.pyplot as plt import matplotlib.image as mpimg from sklearn.cluster import KMeans image = mpimg.imread('Baby_dinosaur.jpg') w, h, d = image.shape pixels = image.reshape(w * h, d) n_colors = 16 kmeans = KMeans(n_clusters=n_colors, random_state=42).fit(pixels) palette = np.uint8(kmeans.cluster_centers_) plt.imshow([palette]) plt.axis('off') plt.show() #Python #PythonCoding #VSC Baby_dinosaur.jpg Color strip.

waclaw_koscielniak

Oct 151 min read

PYTHON CODING

from sklearn.linear_model import LinearRegression import numpy as np X = np.array([[1], [2], [3]]) Y = np.array([2, 4, 6]) model = LinearRegression().fit(X, Y) print(model.predict([[4]])[0]) [Running] python3 -u "/Users/name/test/test638.py" 7.999999999999998 [Done] exited with code=0 in 1.378 seconds #Python #PytonCoding #VSC Try to verify it.

waclaw_koscielniak

Oct 141 min read