Python Course Day 37 | NumPy Operations, Reshape, Statistics, Random Module & Broadcasting | Hindi

Published: 20 June 2026
on channel: HelloHarendra

🚀 Python Course Day 37 | NumPy Advanced Operations in Hindi

In this lecture, we dive deeper into NumPy and learn powerful features used in Data Science, Machine Learning, and Data Analysis.

📌 Topics Covered:

✅ Vectorized Operations
✅ Scalar Operations
✅ Element-wise Arithmetic Operations
✅ Comparison Operations
✅ Array Reshaping with reshape()
✅ 1D to 2D Array Conversion
✅ 3D Arrays in NumPy
✅ Flattening Arrays using flatten()
✅ Transpose using .T
✅ Statistical Functions
✅ Mean, Median, Standard Deviation
✅ Variance, Min, Max, Sum
✅ Percentile & Peak-to-Peak Range
✅ NumPy Math Functions
✅ Random Module in NumPy
✅ randint()
✅ random()
✅ normal()
✅ choice()
✅ Broadcasting in NumPy
✅ Min-Max Normalization
✅ Utility Functions
✅ sort()
✅ argsort()
✅ where()
✅ unique()

🎯 Perfect For:

Python Beginners
Data Science Students
Machine Learning Enthusiasts
Data Analysts
College Students
Interview Preparation

📚 Learn NumPy from Basics to Advanced with Practical Examples.

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