Broadcasting & Vectorization in NumPy Explained | NumPy Tutorial for Beginners скачать в хорошем качестве

Broadcasting & Vectorization in NumPy Explained | NumPy Tutorial for Beginners

Hello Friends Welcome to my IT Channel **SPT999 – Intelligent AI**, where we cover **Python, Data Science, Machine Learning, and Full Stack Technologies**. In this video, you will learn about the *NumPy Library in Python* – the most powerful and fastest library for **mathematical and scientific operations**. We will also explore **Arrays in NumPy**, their data types, and two of the most important concepts: *Vectorization* → Perform parallel operations on arrays at the same time. *Broadcasting* → Apply operations on arrays of different shapes in a smart way. These features make *NumPy much faster than pure Python functions* and the backbone of **Data Science and Machine Learning**. Example: Check NumPy speed vs Python: %timeit sum(arr) %timeit np.sum(arr) Related Playlists & Videos: Core Python in 3 Hours →    • Python for Beginners – Full Course in Hind...   Core Python Playlist →    • Python Tutorial For Beginners in Hindi   Data Science Playlist →    • Плейлист   100 Python Practice Programs →    • 100 Python Practice Programs Series | Part...   Keywords Covered: what is numpy library in python, numpy arrays explained, numpy vectorization, numpy broadcasting tutorial, numpy in hindi, numpy tutorial for beginners, python numpy tutorial, numpy in data science Don’t forget to **Like , Share and Subscribe ** for more tutorials on Python & Data Science!    / @avredtechservices   #NumPy #NumPyTutorial #Python #Vectorization #Broadcasting #PythonForBeginners #DataScience What is numpy library in python What is array in numpy numpy in hindi