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*numpy in python :*

*numpy in python :*

__numpy exercise and solution :__

*This blog post tutorial are very useful for all students in this post I have cover basic numpy operation and finally give you numpy exercise for practice ans solution, so let’s enjoy.***is most powerful and widely used package for data science and machine learning. It contain the following other things:**

__Numpy__fig 01) numpy in python | python course_02 |

- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
- useful linear algebra, Fourier transform, and random numbers capabilitie

It’s also scientific uses, NumPy can also be used as an multi-dimensional container of generic and Arbitary data type. This allows Numpy to seamlessly and speedily integrates with a wide variety of database.

NumPy is licensed under the BSD license, enabling reuse with few restriction.

**INSTALLATION:**

To install NumPy, we frequently recommend using a

*scientific Python distribution*. See Installing the SciPy Stack for detail.Many online tutorial, courses, and books are available to get started with NumPy. For a quick introduction to Numpy we provides the NumPy Tutorial. We also recommend the SciPy Lecture Note for a broader introduction to the scientific Python ecosystems.

For more information on the SciPyscipy.org.

__USE NUMPY IN PYTHON :__

__USE NUMPY IN PYTHON :__

SIMPLE NUMPY OPERATION :

1) simply import the numpy library. and then perform the operation:

`import numpy as np`

`arr = np.arange(0,10)`

`arr + arr`

output:

array([ 0, 2, 4, 6, 8, 10, 12, 14, 16, 18])

2)sub. operation :

`arr - arr`

output:

`array([0,0,0,0,0,0,0,0,0,0])`

#### Universal Array operation:

Numpy comes under many universal array functions, which are essentially just mathematical operation you can use to perform the operation across on array. Let’s see some example:

`#Take Square Root`

np.sqrt(arr)

array([ 0. , 1. , 1.41421357, 1.73205083, 2. ,

2.236066798, 2.449489734, 2.645751341, 2.82842714, 3. ])

Stack see

Some of FAQ :

**Does Python come with NumPy?**

**NumPy is**an open source

**Python**package for python for data science and machine learning.

**NumPy**can be support large, multidimensional array and the matrices. But also

**NumPy**array are not flexible like

**Python**list, you can store same data type in each columns.

**NumPy is**essential for another packages like SciPy, OpenC and Vscikit-learn.

**Where is NumPy used?**

**NumPy**package can be

**used**to perform different operation.

**NumPy is**an open source

**Python**package for python for data science and machine learning.The Narray is a multidimensional array

**used**to store value of same datatypes in pyrhon. These array are indexed just like starts,Sequences with zero.

**Is NumPy a framework?**

The data structure in

**numpy**is the N-dimensional array, which is much more flexible and efficient than standard**Python**list.**NumPy**is a numerical and mathematical library.Tags:

**numpy in python,****Does Python come with NumPy?,****Where is NumPy used?,****Is NumPy a framework?**SEE PYTHON EXERCISE AND SOLUTION

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