Server Side Programming Articles - Page 1496 of 2650

We are provided two numbers START and END to define a range of numbers. And also an array of positive numbers Arr[]. The goal is to find all the numbers that are divisible by all elements of Arr[] and are in the range [START, END] .Method 1 ( Naive Approach )We will do this by traversing numbers from START to END and for each number we will check if the number is divisible by all elements of the array. If yes increment count.Method 2 ( check divisibility by LCM of array elements )We will find the LCM of all array ... Read More

We are provided a number N. The goal is to find the numbers that have 0 as digit and are in the range [1, N].We will do this by traversing numbers from 10 to N ( no need to check from 1 to 9 ) and for each number we will check each digit using a while loop. If any digit is found as zero increment count and move to next number otherwise reduce the number by 10 to check digits until number is >0.Let’s understand with examples.Input N=11Output Numbers from 1 to N with 0 as digit: 1Explanation Starting from i=10 to ... Read More

We are provided two numbers START and END to define a range of numbers. The goal is to find the numbers that have only 2 and 3 as their prime factors and are in the range [START, END].We will do this by traversing numbers from START to END and for each number we will check if the number is divisible by 2 and 3 only. If divisible, divide it and reduce it. If not, break the loop. In the end if the number is reduced to 1 then it has only 2 and 3 as its factors.Let’s understand with examples.Input START=20 ... Read More

We are given an array Arr[] of integers with length n and a number M. The array is only containing positive integers. The goal is to count the triplets of elements of Arr[] which have product equal to M.We will do this by using three for loops. Increment count if arr[x]*arr[y]*arr[z]=M and x!=y!=z. (0

In this post, we will go through the options handling large CSV files with Pandas.CSV files are common containers of data, If you have a large CSV file that you want to process with pandas effectively, you have a few options.Pandas is an in−memory toolYou need to be able to fit your data in memory to use pandas with it. If you can process portions of it at a time, you can read it into chunks and process each chunk. Alternatively, if you know that you should have enough memory to load the file, there are a few hints to ... Read More

Suppose we have a list of numbers called nums, we have to check whether every number can be grouped using one of the following rules: 1. Contiguous pairs (a, a) 2. Contiguous triplets (a, a, a) 3. Contiguous triplets (a, a + 1, a + 2)So, if the input is like nums = [7, 7, 3, 4, 5], then the output will be True, as We can group [7, 7] together and [3, 4, 5] together.To solve this, we will follow these steps −n := size of numsdp := a list of size n+1, first value is True, others are ... Read More

Suppose we have a value n. We have to find all upside down numbers of length n. As we knot the upside down number is one that appears the same when flipped 180 degrees.So, if the input is like n = 2, then the output will be ['11', '69', '88', '96'].To solve this, we will follow these steps −Define a function middle() . This will take xif x is 0, thenreturn list of a blank stringif x is same as 1, thenreturn a new list of elements 0, 1, 8ret := a new listmid := middle(x − 2)for each m ... Read More

Suppose we have a binary tree, we have to check whether all nodes in the tree have the same values or not.So, if the input is likethen the output will be TrueTo solve this, we will follow these steps −Define a function solve() . This will take root, and valif root is null, thenreturn Trueif val is not defined, thenval := value of rootreturn true when value of root is same as val and solve(left of root, val) and solve(right of root, val) are also trueLet us see the following implementation to get better understanding −Example Live Democlass TreeNode:    def ... Read More

Suppose we have a list of numbers nums (positive or negative), we have to check whether the number of occurrences of every value in the array is unique or not.So, if the input is like nums = [6, 4, 2, 9, 4, 2, 2, 9, 9, 9], then the output will be True, as there is 1 occurrence of 6, 2 occurrences of 4, 3 occurrences of 2, and 4 occurrences of 9. So all number of occurrences are unique.To solve this, we will follow these steps −num_counts := a new map where all values and number of occurrences of ... Read More

Suppose we have a matrix called requested_trips where each row containing [start_x, end_x, num_passengers], and we also have a capacity value. Now each requested trip asks to pick up num_passengers passenger at start_x and drop them off at end_x. We also have a car with the capacity that is given, and start at position x = 0. We want to to pick up every passenger and can only move right side, we have to check whether we can pick up and drop off everyone.So, if the input is like trips = [[1, 25, 2], [3, 4, 3], [5, 12, 3]] ... Read More