# Working with Numpy array in Python Part-1

Python is the most popular general purpose programming language used in machine learning, data science, web application etc. Python has so many packages for machine learning, data-science and data analysis like, Matplotlib, Pandas, SciPy, Tensor-Flow, Keras etc. One of the basic package is Numpy.

Numpy is the basic package to manipulate data in Python. Numpy provides support for large, multi-dimensional arrays, various derived objects(such as masked arrays and matrices), for scientific calculation in linear algebra and matrices.Numpy is largely used in all machine-learning packages like Matplotlib, Pandas, SciPy, Tensor-Flow, Keras etc.

Numpy is not preinstalled with Python. You have to install Numpy addtionally. In this article, we will discuss about installation and how to use Numpy.

**Installation**

Linux and Mac users can directly install Numpy with pip command. You can also check this article how to work with pip.

`pip install numpy`

To Install Numpy in Windows system, download Anaconda which is open-source distribution of the Python and R programming languages including Numpy and many popular packages.

You can check if Numpy is installed correctly by running bellow command. It will display all your pip installed packages.

`pip list`

**How to Use?**

Whenever you want to use Numpy in your script, first import Numpy module in above the script.

`import numpy as np`

Now you can use all Numpy functions. Lets first create simple Numpy array. For that first create file

file and put bellow code which will print array variable.**index.py**

```
import numpy as np
# create numpy array
x = np.array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
# print array
print(x)
```

Now go to Terminal in the file location and run script with bellow command.

`python index.py`

**Conclusion**

This way, you can run Python script from your Terminal. In the next part, we will discuss on Basic functions to create and manipulate Numpy array.

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