Dive into a comprehensive 3.5-hour tutorial on Python Numpy, delivered entirely in Hindi. Learn everything from installation and basic array creation to advanced concepts like reshaping, slicing, and conditional selection. Explore various Numpy functions, practice with hands-on questions, and understand the advantages of Numpy over Python lists. Master techniques for searching elements in Numpy arrays and gain practical experience through guided exercises and detailed explanations.
Overview
Syllabus
Python Numpy Introduction - In Hindi.
How to Install NumPy (Anaconda) - In Hindi.
Writing Compiling Executing Programs in Numpy (Anaconda) - In Hindi.
Creating One Dimensional Array Using Numpy - In Hindi.
Creating Two Dimensional Array Using Numpy - In Hindi.
Numpy Functions in Python - In Hindi.
Indexing & Slicing of Numpy Array - In Hindi.
Reshaping of Array in Numpy - In Hindi.
Seed Function in Python Numpy - In Hindi.
Creating Two Dimensional Array | User Input | Numpy | In Hindi.
Slicing Two Dimensional Array In Numpy - In Hindi.
View Vs Copy | Python Numpy - In Hindi.
Conditional Selection In Python Numpy - In Hindi.
Various Operations on Numpy Array - In Hindi.
Numpy Array Functions - Part 1 - In Hindi.
Numpy Array Functions - Part 2 - In Hindi.
Numpy Array Functions - Part 3 - In Hindi.
Python Numpy Stacking - In Hindi.
Numpy Practice Questions.
Numpy Array Practice Question Answers - In Hindi.
Numpy Vs List - In Hindi.
Searching an Element in Numpy Array - In Hindi.
Taught by
codeitup
