Data Analysis in Python: Getting Started with Numpy Library - A Complete Tutorial
Welcome to our video on Python Numpy Tutorial! To know more about AlmaBetter, please visit our website https://link.almabetter.com/gf4S
In this video, we'll be diving into the world of Python for data science, specifically, the Numpy library. Numpy is a numerical Python library that is essential for data analysis and scientific computing. This video is designed to give you a solid foundation for using Numpy, so you can start working with arrays and easily analyse data.
We'll cover the basics of Numpy arrays and how to perform mathematical operations, and by the end of this video, you'll have a good understanding of how to use Numpy for data science. So join us and learn how to master the Numpy library for data analysis!
Chapters:
00:03 - Introduction
00:35 - About Python Modules and Packages
06:10 - Overview of Python Modules
09:28 - About Numpy Library
17:07 - Importing of Numpy Library
20:28 - All about N-dimensional arrays
37:48 - Array Inspection
55:22 - Why Numpy?
55:58 - Memory
58:30 - Performance
1:00:10 - Functionality
1:01:47 - Different ways of creating a ndarray
1:17:38 - Creating ndarray with existing data
1:21:35 - Indexing and Slicing Arrays
1:34:58 - Array Manipulation
1:47:38 - Difference between copy and view
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