Why this course?

Description

                                                                NumPy Basic (Telugu)

 

Description:

 NumPy is a powerful Python library for numerical computing. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays. NumPy is widely used in scientific and engineering applications due to its efficiency and versatility. Key features include the ‘numpy.ndarray’ data type, which allows efficient manipulation of arrays, and a variety of mathematical functions for tasks such as linear algebra, statistical analysis, and Fourier analysis. NumPy is a foundational library for data manipulation and analysis in the Python ecosystem.

 

Key features:

Arrays:

The numpy.ndarray is at the core of NumPy. It is an efficient, homogeneous, and multidimensional array that allows for easy and fast mathematical operations.

Array Creation:

NumPy provides various methods to create arrays, including from Python lists, using ranges, and with zeros or ones. This flexibility makes it easy to generate arrays for different purposes.

Indexing and Slicing:

 NumPy supports advanced indexing and slicing, allowing you to access and manipulate specific elements or subarrays within an array.

Random Module:

 The numpy.random module provides functions for generating random numbers and random sampling, which is useful for simulations and statistical applications.

 

Modules of  NumPy Basic (Telugu):

Module: NumPy