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Technical articles with clear explanations and examples

Program to find maximum how many water bottles we can drink in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 769 Views

Suppose there are n number of full water bottles, and we can exchange m empty water bottles for one full water bottle. Drinking a full water bottle makes it an empty bottle. We have to find the maximum number of water bottles we can drink. So, if the input is like n = 9, m = 3, then the output will be 13 because initially we have 9 bottles. After drinking all bottles, we get 9/3 = 3 full bottles from the empty ones. After drinking those 3, we have 3 empty bottles which gives us 1 more full ...

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Program to reformat date in YYYY-MM-DD format using Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 2K+ Views

Converting date strings from human-readable format like "23rd Jan 2021" to standardized "YYYY-MM-DD" format is a common task in data processing. Python provides several approaches to handle this conversion efficiently. Understanding the Problem We need to parse a date string where: Day includes ordinal suffix (1st, 2nd, 3rd, 4th, etc.) Month is abbreviated (Jan, Feb, Mar, etc.) Year is a four-digit number (1900-2100) The target format is ISO 8601 standard: "YYYY-MM-DD". Method 1: Using String Manipulation This approach splits the date string and manually converts each component ? def solve(date): ...

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Program to check we can make arithmetic progression from sequence in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 2K+ Views

Suppose we have a list of numbers. We need to check whether these numbers can form an Arithmetic Progression (AP) when arranged in proper order. In an AP series, the common difference between any two consecutive elements is the same. So, if the input is like nums = [9, 1, 17, 5, 13], then the output will be True because if we sort them, it will be [1, 5, 9, 13, 17] and here common difference is 4 for each pair of elements. Algorithm To solve this, we will follow these steps: ...

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Program to find average salary excluding the minimum and maximum salary in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 2K+ Views

Suppose we have an array with distinct elements called salary where salary[i] is the salary of ith employee. We have to find the average salary of employees excluding the minimum and maximum salary. So, if the input is like salary = [8000, 6000, 2000, 8500, 2500, 4000], then the output will be 5125.0, as the minimum and maximum salary values are 2000 and 8500. Excluding them, the remaining salary values are [8000, 6000, 2500, 4000], so the average is (8000 + 6000 + 2500 + 4000)/4 = 5125. Algorithm To solve this problem, we will follow these ...

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Program to perform XOR operation in an array using Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 920 Views

Suppose we have an integer n and another integer start. We need to create an array called nums where nums[i] = start + 2*i (where i starts from 0) and n is the size of nums. Then find the bitwise XOR of all elements of nums. So, if the input is like n = 6, start = 2, then the output will be 14 because the array will be like [2+2*0, 2+2*1, ... 2+2*5] = [2, 4, 6, 8, 10, 12], then XOR of each element present in the array is 14. Understanding the Problem Let's first ...

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Program to find running sum of 1d array in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 4K+ Views

A running sum array calculates the cumulative sum at each position. For a given array, the running sum at index i equals the sum of all elements from index 0 to i. For example, if nums = [8, 3, 6, 2, 1, 4, 5], then the running sum will be [8, 11, 17, 19, 20, 24, 29] because: rs[0] = nums[0] = 8 rs[1] = sum of nums[0..1] = 8 + 3 = 11 rs[2] = sum of nums[0..2] = 8 + 3 + 6 = 17 and so on Method 1: Using ...

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Program to find Final Prices With a Special Discount in a Shop in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 1K+ Views

Given an array of prices, we need to find the final prices after applying a special discount. For each item at index i, we get a discount equal to the price of the first item at index j where j > i and prices[j] ≤ prices[i]. Problem Understanding The discount rule works as follows ? For item at index i, look for the first item at index j where j > i If prices[j] ≤ prices[i], then discount = prices[j] Final price = prices[i] − prices[j] If no such j exists, no discount is applied ...

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Program to delete n nodes after m nodes from a linked list in Python

Arnab Chakraborty
Arnab Chakraborty
Updated on 25-Mar-2026 367 Views

Suppose we are given a linked list that has the start node as "head", and two integer numbers m and n. We have to traverse the list and delete some nodes such that the first m nodes are kept in the list and the next n nodes after the first m nodes are deleted. We perform this until we encounter the end of the linked list. We start from the head node, and the modified linked list is to be returned. The linked list structure is given to us as ? Node value ...

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How to show multiple colorbars in Matplotlib?

Rishikesh Kumar Rishi
Rishikesh Kumar Rishi
Updated on 25-Mar-2026 2K+ Views

Creating multiple colorbars in Matplotlib allows you to visualize different datasets with their own color scales. This is particularly useful when displaying multiple subplots with different data ranges or when you want to compare datasets side by side. Steps to Create Multiple Colorbars To show multiple colorbars in matplotlib, we can take the following steps − Set the figure size and adjust the padding between and around the subplots. Create a figure and a set of subplots. Initialize a variable N for the number of sample data. Create random data1 using numpy. Display data as an ...

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How to show Matplotlib in Flask?

Rishikesh Kumar Rishi
Rishikesh Kumar Rishi
Updated on 25-Mar-2026 7K+ Views

Matplotlib plots can be displayed in Flask web applications by converting them to PNG images and serving them as HTTP responses. This approach uses BytesIO to handle the image data in memory without saving files to disk. Basic Flask Setup First, create a Flask application that serves a Matplotlib plot as a PNG image − import io from flask import Flask, Response from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas from matplotlib.figure import Figure import numpy as np app = Flask(__name__) @app.route('/print-plot') def plot_png(): fig = Figure(figsize=(7.5, 3.5)) ...

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