Python NumPy Course From Scratch : Accelerate Your Data Analysis and Manipulation Technique♎
Throughout the video, we'll demonstrate practical examples and provide useful tips and tricks for effectively working with Numpy. Learn how to slice and reshape arrays, apply universal functions, and handle missing data with ease. We'll also delve into advanced techniques such as broadcasting, indexing, and advanced array manipulation.
By the end of this video, you'll have a solid understanding of Numpy's core concepts, enabling you to write efficient, high-performance code for a wide range of scientific and mathematical applications. Get ready to take your numerical computing skills to the next level with Numpy!
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Timestamps:
00:00:00 Introduction
00:00:45 Recap on List
00:02:08 Limitations of List
00:04:43 How to import Numpy library
00:05:18 Creating an ndarray
00:11:25 Classes and attributes: ndim
00:18:21 Classes and attributes: shape
00:20:50 Classes and attributes: size
00:23:11 Classes and attributes: dtype
00:25:05 Basic operations in Numpy
00:31:15 How to access array elements
00:42:38 Accessing array elements: slicing
00:50:43 How to iterate through ndarray
00:54:47 Indexing with Boolean Array
01:01:18 Copy and View
01:18:54 Universal function (ufunc)
01:26:24 Shape manipulation
01:39:08 Broadcasting
01:44:05 Broadcasting constraints
01:50:30 Transpose
01:52:51 Inverse and trace function
01:58:25 Thank you!