Whenever we create a Next.js application, lots of files and folders get created automatically and it is very confusing for a beginner to get started without knowing what each of them is used for. In our previous tutorial of this Next.js series, we learned what is Next.js and how to install Next.js. In this, we […]
Next.js Folder Structure: Exploring Each File and Folder Read More »
Next.js is a powerful React framework that provides features like built-in TypeScript support, middleware, APIs, pre-rendering, server-side rendering, file-based routing, etc, which React lacks. It also lets us write backend code, making it ideal for both the client side and server side while React is limited to the client side. It can create web apps
Next.js Installation: Step-by-Step Instructions Read More »
Next.js is a new-age React framework used to create web apps more efficiently and effectively. It fills the gap that React cannot provide. Next.js extends the functionality of React by providing features such as built-in TypeScript support, middleware support, API support, enabling pre-rendering of pages at build time, server-side rendering, file-based routing, automatic code splitting,
Next.js Introduction: A React Framework Read More »
Have you ever needed to find the distance between two points in space? In this guide, we will solve this problem using the NumPy hypot() function. By using hypot, we can accurately measure the straight-line distance between two points in space, typically known as the hypotenuse. Let us look at this function in detail. What
Understanding numpy.hypot() in Python Read More »
The gcd function in NumPy is used to calculate the greatest common divisor of numbers in arrays (GCD). It is used to facilitate fractions and solve many mathematical problems. Without this function, discovering the GCD would take longer and be more error-prone, particularly when dealing with large datasets. After reading this article, you will know
numpy.gcd() in Python: Finding the GCD of Arrays Read More »
Suppose you are creating a website for selling air coolers in this hot summer and you want to somehow track the product details of other sellers such as cooler types, prices, discounts, etc so that based on that you can change the pricing on your website. Well, how do you extract data? Manually? No, is
Creating a Node.js Web Scraper for Amazon Product Data Read More »
Phase wraparound is the instantaneous transition in phase values. This is as a result of converting the phase to fit within -π and π. In this case, when it passes above or below these limits, the phase wraps around to remain within them. To restore precision in signal processing, these jumps must be resolved. One
numpy.unwrap() in Python: For Correcting Phase Wraparound Read More »
Hello Geeks! Welcome to another guide where we will explore an interesting mathematical concept: the logarithm of the sum of exponentials. Sounds new, right? You will be surprised to know that a separate function is dedicated to calculating it in NumPy, which is called logaddexp(). In this article, we will discuss everything from the basic
numpy.logaddexp() in Python: An Easy Guide Read More »
The numpy.gradient() function is a powerful tool for calculating the gradient of array inputs. The concept of the gradient is essential in fields like data analysis and scientific research, where it is used to create graphical representations of changes in large datasets. Let’s understand this concept before diving deep into the numpy.gradient function. Understanding the
numpy.gradient() in Python: An Easy Guide Read More »
Welcome back, readers! In our series on Python arithmetic operations, we bring you a new topic of remainder. The Numpy library provides us with a dedicated function to find the remainder in Python. We need to know this because the remainder helps us in tasks like checking divisibility, writing algorithms, distributing work equally among processors,
A Detailed Guide to numpy.remainder() Function in NumPy Read More »