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Advanced NumPy Course

Master Advanced NumPy in Python with this comprehensive advanced NumPy course designed for data science learners. Learn techniques like advanced indexing, broadcasting, and efficient array manipulations to handle large datasets effectively. This tutorial strengthens your NumPy skills, enhances your Python programming capabilities, and prepares you to apply advanced array operations in machine learning and data science projects.
Take your Python skills to the next level with Advanced NumPy!
NumPy is the foundation of Data Science, Machine Learning, and Deep Learning — and mastering advanced concepts will make your code faster, smarter, and more efficient.
In this tutorial, you will learn:
✅ Advanced array operations & broadcasting
✅ Fancy indexing and slicing
✅ Boolean indexing concepts
✅ Structured & masked arrays
✅ Performance optimization with NumPy with Stacking and Splitting
✅ numpy where, copy and view concepts
By the end, you will be confident in applying Advanced NumPy techniques for high-performance computing and data manipulation. 🚀
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Github Link: https://github.com/edumentordeepti/Fo...
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Chapter/ Timestamp:
00:00 - intro
00:20 - how to use fancy indexing?
04:05 - how to use fancy indexing with 2d array?
07:08 - how to assigning Values using fancy indexing?
08:25 - what are boolean indexing?
11:16 - what are broadcasting?
16:09 - what are structured arrays?
20:46 - what are universal function?
22:32 - what are copy vs view?
25:31 - what are stacking?
28:55 - what are splitting?
31:01 - what is numpy.where?
35:03 - outro
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DISCLAIMER:
This video is created for educational purposes only. We do not own any copyrights, all code, resources shared are for learning only and all rights go to their respective owners. Please respect licenses and terms of use when implementing in your projects. The usage is non-commercial and we do not make any profit from it. The sole purpose of this vides is to " Learn & Grow... " together in the field of Artificial Intelligence and Machine Learning.