A Practical Guide to 2D Vectors in C++
A Practical Guide to 2D Vectors in C++ In the world of C++ programming, 2D vectors, also known as vectors of vectors, are a fundamental concept. They serve as the…
K-Nearest Neighbors (KNN) in Python – Tutorial
K-Nearest Neighbors (KNN) in Python – Tutorial K-nearest neighbors (kNN) is a supervised machine learning technique that may be used to handle both classification and regression tasks. I regard KNN…
Kotlin Sealed Class – Tutorial
Kotlin Sealed Class – Tutorial In this tutorial, we’ll be looking into Kotlin Sealed Class. What are they? What’s their use? We’ll be addressing all of these things below. Content1…
Norm of a Vector in Python – Steps for Calculation
Norm of a Vector in Python – Steps for Calculation The norm of a vector refers to the length or the magnitude of a vector. There are different ways to…
NumPy Matrix Multiplication
NumPy Matrix Multiplication This can be done by the following three methods. multiply(): element-wise matrix multiplication. matmul(): matrix product of two arrays. dot(): dot product of two arrays. Content1 1.…
NumPy Matrix transpose() in Python – Tutorial
NumPy Matrix transpose() in Python – Tutorial The transpose of a matrix is obtained by moving the rows data to the column and columns data to the rows. If we…
NumPy sqrt() in Python – Tutorial
NumPy sqrt() in Python – Tutorial Python NumPy module is used to work with multidimensional arrays and matrix manipulations. We can use NumPy sqrt() function to get the square root…
numpy.append() in Python – Tutorial
Python numpy.append() Function – Easy Array Concatenation The Python numpy.append() function allows for array concatenation and is especially useful when processing data efficiently. It returns a new array while keeping…
numpy.cumsum() in Python – Tutorial
numpy.cumsum() in Python – Tutorial Python numpy cumsum() function returns the cumulative sum of the elements along the given axis. Content1 Python numpy.cumsum() syntax2 Python numpy.cumsum() Examples Python numpy.cumsum() syntax…