"brand": "Ford", "model": "Mustang", "year": 1964 } x = car.keys() print(x) #before the change car["color"] = "white" print(x) #after the change dict_keys(['brand', 'model', 'year']) dict_keys(['brand', 'model', 'year', 'color'])
format(critical_t)) print("Margin of Error: {:.3f}".format(margin_of_error)) print("Confidence Interval: [{:.3f},{:.3f}]".format(lower_bound,upper_bound)) print("The {:.1%} confidence interval for the population mean is:".format(confidence_level)) print("between {:.3f} and {...
# Calculate the lower and upper bound of the confidence interval lower_bound = point_estimate - margin_of_error upper_bound = point_estimate + margin_of_error # Print the results sprintf("Point Estimate: %0.3f", point_estimate) sprintf("Critical Z-value: %0.3f", critical_z) ...
// Create a structure variable and assign values to it structmyStructures1={13,'B',"Some text"}; // Create another structure variable structmyStructures2; // Copy s1 values to s2 s2=s1; // Print values printf("%d %c %s",s2.myNum,s2.myLetter,s2.myString); ...
import json # a Python object (dict): x = { "name": "John", "age": 30, "city": "New York" } # convert into JSON: y = json.dumps(x) # the result is a JSON string: print(y) {"name": "John", "age": 30, "city": "New York"} ...
#include <stdio.h> int main() { int x = 20; int y = 18; if (x > y) { printf("x is greater than y"); } return 0; } x #include <stdio.h> intmain() { intx=20; inty=18; if(x>y) { printf("x is greater than y"); ...
head('https://www.w3schools.com/python/demopage.php') #print the response headers (the HTTP headers of the requested file): print(x.headers) {'Content-Encoding': 'gzip', 'Cache-Control': 'public', 'Content-Type': 'text/html', 'Date': 'Sat May 17 2025 22:45:25 GMT+...
knn.fit(data, classes) new_x = 8 new_y = 21 new_point = [(new_x, new_y)] prediction = knn.predict(new_point) plt.scatter(x + [new_x], y + [new_y], c=classes + [prediction[0]]) plt.text(x=new_x-1.7, y=new_y-0.7, s=f"new point, class: {...
Run ❯Get yourown JavaserverResult Size:785 x 1445
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