Numpy | Applied Python #7

In this video, we begin our journey into NumPy, one of the most important Python libraries for Data Science and Machine Learning. Data Science Trainer Mohit Pyasi explains what NumPy is, why it is important, how to install and import it, and how to create and work with NumPy arrays. You’ll learn how to create 1D, 2D, and 3D arrays, check their dimensions, size, shape, and data types, perform indexing, reshape arrays, flatten multidimensional arrays, and perform basic mathematical operations. What We Will Learn Today: What is NumPy and why is it used? Installing and importing NumPy Creating 1D, 2D, and 3D arrays Understanding ndim, size, shape, and dtype NumPy array indexing Reshaping arrays with reshape() Flattening arrays with flatten() Performing mathematical operations Element-wise operations between arrays Video Chapters / Timestamps: 00:00 - Introduction to NumPy 00:29 - What Is NumPy & Why Use It? 01:23 - Installing NumPy 02:54 - Importing NumPy 03:11 - Creating NumPy Arrays 04:27 - Creating a 2D Array 05:38 - Creating a 3D Array 06:50 - Checking Data Types 07:21 - NumPy Array Indexing 08:55 - Reshaping Arrays 10:52 - Flattening Arrays 11:21 - Mathematical Operations 12:50 - Operations Between Arrays 14:19 - NumPy Basics Recap Who Is This Video For? This tutorial is ideal for beginners learning Python, NumPy, Data Science, Data Analytics, and Machine Learning. Understanding NumPy is an important step toward working with libraries such as Pandas, TensorFlow, PyTorch, and Scikit-learn. Next Video In the next class, we’ll continue with more useful NumPy functions and operations. If you found this tutorial helpful, LIKE the video, share your questions in the COMMENTS, and SUBSCRIBE to Recruired for more practical tutorials on Python, Data Science, Machine Learning, AI, and emerging technologies. #numpy #python #datascience #machinelearning #pythonprogramming #dataanalysis #numpytutorial For More info You can Visit : https://ricr.in/ Explore our Other Course: https://ricr.in/courses Book For Demo Class: https://ricr.in/demo