ExamplesConsider n = 20(00010100)Now return log2(20 & -20) => 2+1 => 3Approach to solve this problemStep 1 − Define a method, where n and is an argument, return type is int.Step 2 − Return log2(n & -n)+1.Examplepackage main import (    "fmt"    "math"    "strconv" ) func FindRightMostSetBit(n int) ... Read More

ExamplesConsider n = 16(00010000)Now find x = n-1 => 15(00001111) => x & n => 0Approach to solve this problemStep 1 − Define a method, where n and is an argument, returns type is int.Step 2 − Perform x = n & n-1.Step 3 − If x is 0, then ... Read More

ExamplesConsider n = 20(00010100), k = 3.After toggling the kth bit of the given number: 00010000 => 16.Approach to solve this problemStep 1 − Define a method, where n and k would be the arguments, returns type is int.Step 2 − Perform AND operation with n ^ (1

ExamplesConsider n = 20(00010100), k = 3So, the result after turning off the 3rd bit => 00010000 & (1

ExampleFor example consider n = 20(00010100), k = 4. So result after turning on 4th bit => 00010000 | (1

ExampleConsider n = 20(00010100), k = 3 The result after turning off the 3rd bit => 00010000 & ^(1 16sApproach to solve this problemStep 1 − Define a method, where n and k would be the arguments, return type is int.Step 2 − Perform AND operation with n & ^(1

Example − In the given tree, the root node is 1, the root of its left sub tree is 2, and the root of its right sub tree is 3, ... so on.Preorder Tree Traversal Output: 1, 2, 4, 5, 3, 6, 7.Approach to solve this problemStep 1 − First, ... Read More

Matplotlib can wrap text automatically, but if it's too long, the text will be displayed slightly outside of the boundaries of the axis anyways.StepsCreate a new figure, or activate an existing figure, using figure().Set the axis properties using plt.axis() method.Make a variable input_text to store the string.Add text to figure, ... Read More

First, we can calculate the mean and standard deviation of the input data using Pandas dataframe.Then, we could plot the data using Matplotlib.StepsCreate a list and store it in data.Using Pandas, create a data frame with data (step 1), mean, std.Plot using a dataframe.To show the figure, use plt.show() method.Exampleimport ... Read More

First, we can create a scatter for different data points using the scatter method, and then, we can plot the lines using the plot method.StepsCreate a new figure, or activate an existing figure with figure size(4, 3), using figure() method.Add an axis to the current figure and make it the ... Read More