💡 Problem Formulation: In Python programming, there might be instances where we need to fetch a function’s name (e.g., for debugging or logging purposes). For example, given a function def my_function(): pass, we want to retrieve the string “my_function”. Method 1: Using the function.__name__ Attribute This method utilizes the built-in attribute __name__ available on every … Read more
💡 Problem Formulation: Log files often contain a mix of text and numerical data organized chronologically or in a manner not suitable for data analysis. The requirement is to reorder this data to make the logs more readable or structured for easier processing. For instance, we might have an input log like [‘error 404’, ‘warn: … Read more
💡 Problem Formulation: Handling holidays can be complex when developing applications that rely on date calculations. The Python Holidays library simplifies this task by providing an easy way to generate lists of holidays for a given country, region, or state. For example, you may need to verify if a specific date is a public holiday … Read more
💡 Problem Formulation: Counting words in a sentence is a common problem tackled in text analysis and processing. It involves determining the number of individual words present in a string of text. For example, the input “Python is awesome!” should yield an output indicating that there are 3 words. Method 1: Using String’s split() Method … Read more
💡 Problem Formulation: When working with lists in Python, a common task is to determine the largest number within a collection. Imagine we have a list such as [15, 30, 56, 9, 18]; our aim is to identify the greatest value, which, in this case, is 56. Method 1: Using Python’s max() function The most … Read more
💡 Problem Formulation: Managing and tracing recent function calls is a common requirement when debugging or profiling applications. This article aims to explore how developers can monitor the number of times a function has been recently called within a Python program. For instance, if a function named load_data() is called 5 times during a program’s … Read more
💡 Problem Formulation: Given an integer array nums, we need to find the smallest range that includes at least one number from each of the k sorted lists. We aim to determine a range [a,b] (where a <= b) such that the size of the range is the difference b – a, and this size … Read more
💡 Problem Formulation: We often encounter situations where we need to group strings based on certain equivalence criteria. A ‘special equivalent’ scenario might be when we consider two strings equivalent if they have the same character counts for even and odd indexed characters separately. For instance, given an array of words, we want to group … Read more
💡 Problem Formulation: Calculating the surface area of 3D shapes is a fundamental problem in computational geometry and various scientific computations. For example, given a 3D shape like a cube with side length ‘a’, the desired output is the surface area which for a cube is ‘6 * a * a’. This article will guide … Read more
💡 Problem Formulation: Simulating a walking robot in Python involves creating a virtual model that can mimic the gait and balance of a real-world bipedal or quadrupedal robot. This simulation is key for developing algorithms for robotic movement without the hardware costs. The goal is to input parameters for the robot’s design and gait, and … Read more
💡 Problem Formulation: A binary gap within a positive integer ‘N’ is any maximal sequence of consecutive zeros that is surrounded by ones at both ends in the binary representation of ‘N’. For example, the number 9 has a binary representation of 1001 and contains a binary gap of length 2. The challenge is to … Read more
💡 Problem Formulation: Imagine you’re running a lemonade stand where each lemonade costs $5. Customers pay with either $5, $10, or $20 bills. You must provide change with the least number of bills. The challenge is to write a Python function that determines if you can provide all customers with correct change. For example, if … Read more