Multidimensional array Numpy (1D, 2D, 3D array )| how to create numpy array in python.(In Hindi)
Multidimensional Array (1D, 2D, 3D) in Numpy Python.
We will learn about:
Creation and Accessing elements of One-dimensional (1D) array in Numpy Python.
Creation and Accessing elements of Two-dimensional (2D) array in Numpy Python.
Creation and Accessing elements of Three-dimensional (3D) array in Numpy Python.
This is the third tutorial of Numpy Python tutorial for beginners in Hindi.
Complete Numpy Course Playlist:
• Numpy Python Tutorial for Beginners i...
Access complete code on GitHub:
https://github.com/sachinsaini4278/Numpy
This course is divided into some parts:
1. Numpy Python Tutorial for Beginners in Hindi- Introduction to Numpy.
• Introduction to Numpy (Numpy Python T...
2. Numpy PythonTutorial for Beginners in Hindi - Installation of Anaconda.
• Installation of Anaconda. (Numpy Inst...
3. Numpy Python Tutorial for Beginners in Hindi - Multidimensional Array.
• Multidimensional array Numpy (1D, 2D...
4. Numpy Python Tutorial for Beginners in Hindi - Numpy array vs simple List.
• Numpy array vs simple List | Why NumP...
5. Numpy Python Tutorial for Beginners in Hindi - Mathematical operations.
• Mathematical operations in NumPy | po...
6. Numpy Python Tutorial for Beginners in Hindi - Various Numpy functions.
• Numpy functions Minimum, maximum, Ver...
7. Numpy Python Tutorial for Beginners in Hindi - Indexing and Slicing.
• Indexing and Slicing in 1D, 2D, 3D ar...
8. Numpy Python tutorial for beginners in Hindi- Exercise on Numpy
• Numpy practical exercise questions an...
This is the full course of Numpy for beginners. Here in this course, you will learn all the things related to Numpy. Learn the basics of the NumPy library in this tutorial for beginners. It provides background information on how NumPy works and how it compares to Python's Built-in lists. This tutorial goes through how to write code with NumPy. It starts with the basics of creating arrays and then gets into the more advanced stuff. The video covers creating arrays, indexing, math, statistics, reshaping, and more.
We are using Jupyter Notebook in this course and which is very necessary for Machine learning.
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