Numpy Python Library For Beginners (Part 1) | Machine Learning and Data Science Basics

Numpy Python Library is a widely used package for data analysis and machine learning tasks. It adds support for large, multi-dimensional arrays and matrices. Also, it offers a large collection of high-level mathematical functions to operate on these arrays. The key advantages of using Numpy include its speed, efficiency, flexibility, and ease of use. It is also used by developers as the base to build other libraries. In this video, we will cover: - What is Numpy (Python Library) - How to install Numpy'in Python IDE - How to import the Numpy library - How to create arrays in Python using Numpy - !D, 2D, 3D - Basic operations on arrays using Numpy - How to find the byte size of each element in array - How to find datatypes of elements in array - How to get the dimensions of the array - How to get the shape of the array - How to get/slice a value from an array #googlecolab #googlecolabpython #python #pythonfordatascience #colab #pythonforbeginners #datascience #dataanalytics #dataanalysis #dataai #machinelearningbasics #machinelearning #machinelearningtraining #artificialintelligence #artificialintelligenceanddatascience #datasets #pythontutorial #datascienceforbeginners #machinelearningforbeginners #tutorials #beginners #aiandml #uploaded #numpy #numpytutorial #numpypandas #pandasnumpy #arrays #numpyforbeginners