Numpy - Full Tutorial
numpy stands for numerical python, featuring powerful capabilities in dealing with large arrays it can fast multiply matrices and comprehensively access their elements. It is mainly used in linear algebra, matrix operations, and AI...
This Tutorial will cover everything about Numpy library even introducing Matplotlib and Seaborn that work with it. It is broken down and made easy with a presentation at the beginning and then multiple practice demonstrations so as to make Numpy easy, crystal clear and straightforward even for those who have a slight understanding of programming in general, however i would recommend watching the Python Tutorial as a prerequisite for this training (link below).
Python Complete Training: • Python - Complete Tutorial
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TIMESTAMPS:
00:00:00 Explanatory Presentation
00:12:24 Numpy Array Declaration
00:13:58 Declaring a Multidimensional Array
00:16:22 Array Indexing
00:17:03 Multi-Dimensional Array Indexing
00:20:48 Array Slicing
00:22:46 Negative Indexing
00:23:36 Multi-Dimensional Negative Indexing
00:24:43 Multi-Dimensional Array Slicing
00:26:39 Creating Array with a Specific Datatype
00:29:24 Array View Vs Array Copy
00:31:52 Array Reshaping
00:33:56 Looping Through an Array
00:36:47 Joining Arrays
00:42:27 Array Search
00:46:23 Array Soring
00:52:06 Distribution of Random Values inside Arrays
00:53:36 Array Shuffling
00:54:39 Plotting Values using Matplotlib & Seaborn
00:57:55 Random Exponential
01:02:57 Rounding and Truncating Array Values
01:04:22 Trigonometry Functions Arrays
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