# NumPy

## NumPy Linear Algebraic functions to know!

Hello, readers! In this article, we will be focusing on NumPy Linear Algebraic functions in Python. So, let us get started! 🙂 The NumPy module offers us various functions to deal with and manipulate data. It enables us to create and store data in an array data structure. Moving ahead, it offers us various functions …

## 4 Ways to Perform Random Sampling in NumPy

Hello, readers! In this article, we will be focusing on 4 Easy Ways to Perform Random Sampling in Python NumPy. So, let us get started! 🙂 Random Sampling, to give an overview, is actually selecting random values from the defined type of data and present them to be in further use. In the course of …

## 5 NumPy Data Distributions to know

Hello, readers! In this article, we will be focusing on 5 NumPy Data Distributions in Python. So, let us get started!! 🙂 To begin with, Data Distribution enables us to have an idea about the distribution of the data. That is, it represents a list of all the possible values in the term of the …

## Universal NumPy Trigonometric functions to know

Hello, readers! In this article, we will learn the universal NumPy trigonometric functions to know! So, let us get started! 🙂 To being with, the mathematical functions in NumPy are framed as Universal functions. These Universal (mathematical NumPy functions) operate on the NumPy Array class and perform element-wise operations on the data values. The universal …

## NumPy Set Operations to know!

Hello, readers! In this article, we will learn the universal NumPy Set Operations in Python. So, let us get started! 🙂 Useful Numpy set operations We’re going over 5 useful numpy set operations in this article. numpy.unique(array) numpy.union1d(array,array) numpy.intersect1d(array,array,assume_unique) np.setdiff1d(arr1, arr2, assume_unique=True) np.setxor1d(arr1, arr2, assume_unique=True) Let’s check these operations individually. 1. Unique values from a …

## Numpy Vectorization

In this article, we’ll learn Numpy Vectorization in Python. Numpy is a C implementation of arrays in Python that is comparatively faster while having the same Python interpreter. In this article, we explore how we can apply a function element-wise to a sequence using numpy.vectorize(). Why for loop isn’t best for Numpy Vectorization? To apply …

## Numpy broadcasting: A beginner’s guide

In this guide, we’ll talk about Numpy broadcasting from a beginner’s perspective. This guide assumes no prior knowledge of the topic so we’ll go right from the basics to help you get started. What is Numpy broadcasting? “The term broadcasting describes how numpy treats arrays with different shapes during arithmetic operations. Subject to certain constraints, …

## Numba: Make your python code 100x faster

Numba is a compiler for Python array and numerical functions that gives you the power to speed up your applications with high-performance functions written directly in Python. What makes python slow? Python has been used for scientific computing for a long period of time. Though Python is a great language for prototyping, the barebone python …

## NumPy Universal functions to know!

Hello, readers! In this article, we will be focusing on NumPy Universal functions in Python programming. So, let us get started! 🙂 What do we mean by NumPy Universal Functions? NumPy Universal functions are in actual the mathematical functions. The NumPy mathematical functions in NumPy are framed as Universal functions. These Universal (mathematical NumPy functions) …

## How to Save in .npy Format?

Ever come across a .npy file? In this article, we’ll go over the steps to save in npy format. NPY is Numpy’s binary data storage format. Numpy is an essential module for carrying out data science operations efficiently. Importing, saving and processing of data takes up a major portion of the time in the field …