The Most Important Numpy Functions You Should Know When Learning Python

Data science in Python is mostly analytical, so learning it from scratch is a basic thing to start with. The beginner-friendly steps shown here are a kick-start for learning how to program from the basic codes. One of the main benefits is its extensive set of libraries, a collection of routines and functions that help data scientists perform complex tasks quite effortlessly without writing a single line of code. One such important function is numerical Python aka NumPy which is a fundamental library, well known for high-performance multi-dimensional array and can be used for different mathematical functions like linear algebra, Fourier Transformations, etc. as well as logical operations. This article takes a lowdown on understanding NumPy and its functions, including steps to create NumPy arrays, indexing, slicing, etc. Understanding NumPy And How It Works The easy way to install Python in your system is to download and install a package called Anaconda that contains pre-installed l