Numpy Python Tutorial | Numpy Indexing and Slicing | Numpy Broadcasting

Numpy Python Tutorial | Numpy Indexing and Slicing | Numpy Broadcasting {Celebrity |Famous |}%title%{ Net Worth| Wealth| Profile}
Web Reference: NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. The only prerequisite for installing NumPy is Python itself. If you don’t have Python yet and want the simplest way to get started, we recommend you use the Anaconda Distribution - it includes Python, NumPy, and many other commonly used packages for scientific computing and data science. NumPy documentation # Version: 2.4 Download documentation: Historical versions of documentation Useful links: Home | Installation | Source Repository | Issue Tracker | Q&A Support | Mailing List NumPy is the fundamental package for scientific computing in Python.
YouTube Excerpt: In this video, you’ll learn about how to perform indexing, slicing and broadcasting using the Numpy Python Library. This library is essential to Machine Learning as it allows you to efficiently work with data through arrays and matrices! You’ll learn how to perform selection of an array through square brackets, how to utilize Slicing to obtain specific values of your array, how to perform indexing and selection on both 1D arrays and 2D arrays, how to broadcast a value to the entire array as well as specific portions, how to create a copy of an array, and how to relate Booleans and arrays to filter your array based on specific conditions. After watching this video and learning the basics of indexing using Numpy, there’s an activity right below this description for you to try out on your own using the skills you learned here. Enjoy! NUMPY ACTIVITY: Create a random 2 dimensional Numpy array and change the upper right corner to display ‘hi’, while keeping the rest of the matrix the same. TIMESTAMP: 00:00 Introduction & Recap of Last Video 00:18 Lesson Structure for Numpy Indexing Video 00:32 Indexing, Selection, and Slicing 03:13 Broadcasting 04:39 Relating Booleans and Arrays 05:18 Recap of All Content in Video 06:00 Call-to-action: Numpy Indexing Subscribe to Acadaimy: https://www.acadaimy.com/youtube About Acadaimy Acadaimy empowers individuals to rapidly learn and master the fascinating field of Artificial Intelligence through easy-to-consume bite-sized videos delivered on a weekly basis. Topics include artificial intelligence, machine learning, ai applications, supervised learning, unsupervised learning, pattern recognition, artificial general intelligence, deep learning, data science, big data and more. While most immediately suitable for beginners, Acadaimy's AI training and accompanying examples and projects aims to deliver value to anyone ultimately seeking expertise in artificial intelligence.

In this video, you’ll learn about how to perform indexing, slicing and broadcasting using the Numpy Python Library. This library is essential to...

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