{"id":79296,"date":"2020-07-15T20:55:11","date_gmt":"2020-07-15T15:25:11","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=79296"},"modified":"2021-05-09T13:13:48","modified_gmt":"2021-05-09T07:43:48","slug":"install-numpy","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/install-numpy\/","title":{"rendered":"NumPy Installation &#8211; How to Install Numpy in Python"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:149,&quot;href&quot;:&quot;https:\\\/\\\/www.python.org&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251206090101\\\/https:\\\/\\\/www.python.org\\\/&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-06 12:20:59&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-09 12:44:48&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-12 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04:53:57&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-14 06:48:30&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-17 07:17:55&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-20 07:32:43&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-23 09:34:41&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-26 10:13:17&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-04-29 10:35:31&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-02 11:50:34&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-05 12:07:03&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-08 13:08:24&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-11 14:46:17&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-14 21:24:09&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-05-18 03:08:37&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-21 06:27:39&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-24 07:06:36&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-27 07:30:50&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-30 08:47:47&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-02 09:37:18&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-05 09:43:29&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-08 10:40:15&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-11 10:49:02&quot;,&quot;http_code&quot;:206}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-11 10:49:02&quot;,&quot;http_code&quot;:206},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<p>Python is an open-source object-oriented language. It has many features of which one is the wide range of external packages. There are a lot of packages for installation and use for expanding functionalities. These packages are a repository of functions in python script.<\/p>\n<p>NumPy is one such package to ease array computations. To install all these python packages we use the pip- package installer. Pip is automatically installed along with Python. We can then use pip in the command line to install packages from PyPI.<\/p>\n<h2><\/h2>\n<h2>Install Numpy in Mac OS<\/h2>\n<p>Python comes pre-installed on Mac OS. However, it has an old system version the newer versions can be downloaded alongside.<\/p>\n<p>1. Open the terminal in your MacBook.<\/p>\n<p>2<strong>.<\/strong> In the terminal, we use the pip command to install the package<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">pip install numpy<\/pre>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-79340\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img.png\" alt=\"\" width=\"1142\" height=\"319\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img.png 1142w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img-300x84.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img-1024x286.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img-150x42.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img-768x215.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img-520x145.png 520w\" sizes=\"auto, (max-width: 1142px) 100vw, 1142px\" \/><\/a><\/p>\n<p>3. If you use Python3, enter the pip3 command.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">pip3 install numpy<\/pre>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-79342\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3.png\" alt=\"\" width=\"1140\" height=\"465\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3.png 1140w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3-300x122.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3-1024x418.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3-150x61.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3-768x313.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img3-520x212.png 520w\" sizes=\"auto, (max-width: 1140px) 100vw, 1140px\" \/><\/a><\/p>\n<p>4. After the package is installed, we type the Python command to get into the Python prompt.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">Python-9<\/pre>\n<p>5<strong>.<\/strong> We then use the import command to use the installed package.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">import numpy as ny<\/pre>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-79341\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img2.png\" alt=\"numpy installation in mac\" width=\"512\" height=\"221\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img2.png 512w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img2-300x129.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img2-150x65.png 150w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<h2>Numpy Installation in Windows OS<\/h2>\n<p>Python is not pre-downloaded in windows. User can download the latest version from python.org. Anaconda is also a great choice to begin with as it has a lot of pre-installed packages.<br \/>\nAfter python installation is successful,<\/p>\n<p><strong>1.<\/strong> Open command prompt<\/p>\n<p><strong>2.<\/strong> Use the pip command<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">pip install numpy<\/pre>\n<p><strong>3.<\/strong> Use the import command<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">import numpy as np<\/pre>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-79343\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4.png\" alt=\"install numpy in windows\" width=\"1366\" height=\"279\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4.png 1366w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4-300x61.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4-1024x209.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4-150x31.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4-768x157.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img4-520x106.png 520w\" sizes=\"auto, (max-width: 1366px) 100vw, 1366px\" \/><\/a><\/p>\n<h2>Install Numpy in Ubuntu OS<\/h2>\n<p>Python is pre-installed in Ubuntu. The problem in installing packages is that pip is not installed along with. There are two ways for pip installation:<\/p>\n<p><strong>1.<\/strong> <a href=\"https:\/\/www.python.org\/\">Download python<\/a> package. Then we can use the apt install command to install pip.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">apt install python-pip python-pip3<\/pre>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-79344\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5.png\" alt=\"\" width=\"1456\" height=\"438\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5.png 1456w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5-300x90.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5-1024x308.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5-150x45.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5-768x231.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img5-520x156.png 520w\" sizes=\"auto, (max-width: 1456px) 100vw, 1456px\" \/><\/a><\/p>\n<p><strong>2.<\/strong> We can also install pip on Ubuntu and then further install numpy.<\/p>\n<p><strong>3.<\/strong> We can then use the install command for NumPy.<\/p>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"null\">pip install numpy<\/pre>\n<p>&nbsp;<\/p>\n<h2><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-79345\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6.png\" alt=\"install numpy\" width=\"1410\" height=\"252\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6.png 1410w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6-300x54.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6-1024x183.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6-150x27.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6-768x137.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img6-520x93.png 520w\" sizes=\"auto, (max-width: 1410px) 100vw, 1410px\" \/><\/a><\/h2>\n<h2><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-79346\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7.png\" alt=\"numpy installation in ubuntu\" width=\"1414\" height=\"250\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7.png 1414w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7-300x53.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7-1024x181.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7-150x27.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7-768x136.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2020\/07\/img7-520x92.png 520w\" sizes=\"auto, (max-width: 1414px) 100vw, 1414px\" \/><\/a><\/h2>\n<h2>Summary<\/h2>\n<p>In this article, we have learnt how to install numpy. The NumPy Package installation differs in different operating systems, because of the pre-installation system features. The installation of the NumPy package comes with a vast range of modules for performing operations on arrays.<\/p>\n<p>These modules have python scripts containing methods and functions. These methods and functions help overcome the lacking functionalities in Python. It also helps cut the execution time.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Python is an open-source object-oriented language. It has many features of which one is the wide range of external packages. There are a lot of packages for installation and use for expanding functionalities. These&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":79339,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22401],"tags":[22628,22630,22629],"class_list":["post-79296","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-numpy","tag-install-numpy","tag-installing-numpy","tag-numpy-installation"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NumPy Installation - How to Install Numpy in Python - DataFlair<\/title>\n<meta name=\"description\" content=\"Python installation - Learn how to install numpy in Mac OS, Ubuntu and Windows OS. 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