Problem Statement The task is to write a function that validates whether a given postal code string meets certain conditions such as being a six-digit number with specific digits at specific positions and having a certain sum of digits. Link: HackerRank Complexity: Hard Solution: The solution to this problem involves the use of regular expressions. We define …
Problem Statement You are given a list of K lists, each of which contains N positive integers. You need to pick one number from each list such that the sum of the chosen numbers is less than or equal to a given integer M. Find the maximum possible value of the sum of the chosen …
Plotly is a powerful data visualization library that allows you to create interactive charts and graphs. With Plotly, you can create everything from simple line charts to complex 3D visualisations with ease. In this article, we’ll cover the basics of creating interactive visualizations using Plotly, and we’ll provide examples to help you get started. Getting …
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Visualizing data is an important part of data analysis, as it allows us to explore patterns and relationships in our data. One of the most popular libraries for data visualization in Python is Matplotlib. In this blog, we’ll take a look at how to use Matplotlib, as well as another popular data visualisation library, Seaborn, …
Exploratory Data Analysis (EDA) is an essential step in data science that helps to understand the dataset better and derive insights from it. Python is a popular language for data science and analysis, and it offers several libraries for EDA. In this article, we will explore how to perform EDA using Python and its libraries. …
Data analysis and data visualisation are two closely related activities in the field of data science. Getting insights from data using statistical and computational methods is part of data analysis. This process may involve cleaning and transforming the data, and then performing various statistical tests and modeling techniques to extract insights. Once the data analysis …
Data pipelines are a crucial component of many data-driven applications. They allow us to extract data from various sources, transform and process it, and load it into a destination storage or system. Python has emerged as one of the most popular languages for building data pipelines. In this article, we will explore the basics of …
Problem Statement Link: LeetCode Complexity: Easy Given an array of integers nums which is sorted in ascending order, and an integer target, write a function to search target in nums. If target exists, then return its index. Otherwise, return -1. You must write an algorithm with O(log n) runtime complexity. Example 1: Input: nums = [-1,0,3,5,9,12], target = 9 Output: 4 Explanation: 9 exists in nums and its …
Problem Statement Link: LeetCode Complexity: Hard Given two sorted arrays nums1 and nums2 of size m and n respectively, return the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)). Example 1: Input: nums1 = [1,3], nums2 = [2] Output: 2.00000 Explanation: merged array = [1,2,3] and median is 2. Example 2: Input: nums1 = [1,2], nums2 = [3,4] Output: …
Handling missing values is an essential aspect of any data analysis or data engineering project. The presence of missing values can have a significant impact on the outcome of your analysis and the accuracy of your results. Therefore, it is crucial to give proper attention to handling this. In data engineering problem statements, missing values …
