[toc] Company Tag: Google Problem Formulation We define the usage of capitals in a word to be right when one of the following cases holds: Rule 1: All letters in this word are capitals, like “USA”. Rule 2: All letters in this word are not capitals, like “welcome”. Rule 3: Only the first letter in … Read more
There are various ways to skip the first entry in Python loops. But, first, you will need to determine which example best meets your coding needs. Skip First Entry using Slicing Python offers a unique feature, slicing. This feature enables the coder to quickly access various data types, such as lists, tuples, and strings. This … Read more
[toc] Company Tags: Google, Adobe, Apple, Bloomberg, Microsoft Problem Description Given the array nums consisting of 2n elements in the form [x1, x2,…,xn, y1, y2,…, yn]. Return the array in the form [x1, y1, x2, y2,…, xn, yn]. Constraints: 1 <= n <= 500 nums.length == 2n 1 <= nums[i] <= 10^3 Examples Let’s have … Read more
One of the finest open-source browser automation tools recognized in today’s world is selenium and the “Select” class of selenium WebDriver enables us to handle the dropdown menu smoothly. Today, we will try to figure out all the intricacies of the “Select” class practically. Purpose of the Select Class The “Select” class in selenium allows … Read more
Modern web pages are fitted with so many functionalities. Buttons are one of the fundamental components of them. Selenium Python API bindings allow us to access the Selenium WebDrivers to click a button automatically. In this article, we will follow step by step approach to click on buttons. Setting Up the Environment We need to … Read more
[toc] Company tags: Google, Capital One Problem Formulation You are given a license key represented as a string s that consists of only alphanumeric characters and dashes. The string is separated into n + 1 groups by n dashes. You are also given an integer k. We want to reformat the string s such that … Read more
During your career as a Pythonista, you will most likely find yourself required to work with binary data. See the examples outlined below to efficiently read/write to a Binary file. Preparation Before any data manipulation can occur, one (1) new library will require installation. The NumPy library supports multi-dimensional arrays and matrices in addition to … Read more
In this article, you’ll deep dive into a powerful testing feature in Python called Pytest Fixtures. Feel free to dive into our background articles on Pytest in case you need a quick refresher (with video)! Pytest – A Complete Overview Pytest – How to Run Tests Efficiently You can watch this tutorial in video format … Read more
The Pandas DataFrame filter() Method In this tutorial, we will have a look at the Pandas filter() method. We will see what this function does and how we can apply it to our dataframes. As the name suggests, the filter() method filters our dataframe. To be more specific, the method subsets the rows or columns … Read more
[toc] Introduction Today we can see 2D arrays used everywhere. As simple examples – chessboard, eggs arranged in a rectangular egg-holder are 2D arrays. In the world of computers, we use 2D arrays everywhere. 2D arrays are used in Image processing, Surveys, Speech Processing, Geoscience, Tables, Databases, Graphs, etc. What is a Dimension in an … Read more
When searching for a list of dunder methods with explanations, i.e., a cheat sheet on Python magic methods, I only found a couple of resources all over the web—each covering only a fraction of dunder methods. So, here’s my collection of 127 dunder methods (also called “magic methods”) from those sources, sorted alphabetically. I provide … Read more