{"id":181165,"date":"2024-04-24T08:43:00","date_gmt":"2024-04-24T07:43:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=181165"},"modified":"2024-03-01T21:27:06","modified_gmt":"2024-03-01T20:27:06","slug":"python-virtualenv-your-essential-guide-to-virtual-environments","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/python-virtualenv-your-essential-guide-to-virtual-environments","title":{"rendered":"Python Virtualenv: Your Essential Guide to Virtual Environments"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"181165\" class=\"elementor elementor-181165\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-fcbfdd0 e-flex e-con-boxed e-con\" data-id=\"fcbfdd0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ffaa493 elementor-widget elementor-widget-text-editor\" data-id=\"ffaa493\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h2>Find out all you need to know about Python&#8217;s virtual environments and the virtualenv library: definition, use cases, operation, tutorial, training&#8230;<\/h2>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80ba7cb elementor-widget elementor-widget-text-editor\" data-id=\"80ba7cb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>One of the main advantages of the Python language is its wide selection of third-party libraries and packages. These tools are very useful for data ingestion or transformation, or for high-speed mathematics or Machine Learning.<\/p><p>However, sometimes several packages are not compatible with each other. This is also the case between several versions of the same extension. To remedy this problem, we use virtual environments.<\/p><p>\u00a0<\/p><p>\ud83d\udca1Related articles:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"656\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Matplotlib: Master Data Visualization in Python &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\" target=\"_blank\" rel=\"noopener\">Matplotlib: Master Data Visualization in Python <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Crash Course: Get started &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/python-all-you-need-to-know\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/python-all-you-need-to-know\" target=\"_blank\" rel=\"noopener\">Python Crash Course: Get started <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mastering Machine Learning in Python: Data-Driven Success &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start\" target=\"_blank\" rel=\"noopener\">Mastering Machine Learning in Python: Data-Driven Success <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Programming for Beginners - Episode 3&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/python-programming-for-beginners-episode-3\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/python-programming-for-beginners-episode-3\" target=\"_blank\" rel=\"noopener\">Python Programming for Beginners &#8211; Episode 3<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Django: All about the Python web development framework&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/django-all-about-the-python-web-development-framework\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/django-all-about-the-python-web-development-framework\" target=\"_blank\" rel=\"noopener\">Django: All about the Python web development framework<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;NumPy : the most used Python library in Data Science&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/numpy-the-python-library-in-data-science\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/numpy-the-python-library-in-data-science\" target=\"_blank\" rel=\"noopener\">NumPy : the most used Python library in Data Science<\/a><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d183443 e-flex e-con-boxed e-con\" data-id=\"d183443\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-47c68a1 elementor-widget elementor-widget-heading\" data-id=\"47c68a1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What is a Python virtualenv?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5036a7a elementor-widget elementor-widget-text-editor\" data-id=\"5036a7a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>A <a href=\"https:\/\/datascientest.com\/en\/project-environment-preparation-essential-steps-for-smooth-workflow\">virtual environment<\/a>, or virtualenv, lets you run multiple parallel instances of the Python interpreter. Each of these instances has its own set of packages and configurations. Each virtual environment also contains a copy of the <strong>Python interpreter.<\/strong><\/p><p>The packages installed in each environment are seen only in that virtual environment and nowhere else. Even the largest and most complex packages can be unbundled within virtual environments.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ab92d1 elementor-widget elementor-widget-image\" data-id=\"9ab92d1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/07\/python-virtual-environment.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1acb518 e-flex e-con-boxed e-con\" data-id=\"1acb518\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-965f9f1 elementor-widget elementor-widget-heading\" data-id=\"965f9f1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is the purpose of a Python virtualenv?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-495a92d elementor-widget elementor-widget-text-editor\" data-id=\"495a92d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>A <strong>Python virtual environment<\/strong> can be useful in many situations. The most common use case is the development of multiple projects requiring different versions of the same packages, or a project needing to be isolated from certain packages due to a namespace collision.<\/p><p>Another common use case is working in a<strong> Python environment<\/strong> where it is impossible to modify the site-packages directory. This may be a highly controlled environment, such as managed hosting, or a server where the choice of interpreter and packages cannot be changed due to production constraints.<\/p><p>In addition, a virtualenv is useful for experimenting with a specific combination of packages in highly controlled circumstances. The aim may be to test compatibility between these packages.<\/p><p>Finally, a<strong> virtual environment<\/strong> allows you to run a basic version of the Python interpreter without third-party packages on a system, and to install packages only to meet the individual needs of each project.<\/p><p>As an alternative, it is also possible to unpack a <strong>Python library<\/strong> into a project&#8217;s subfolder, or download a separate copy of the Python interpreter and unpack it into a folder to run the required scripts and packages.<\/p><p>However, managing such projects with packages with binary components and third-party dependencies can quickly prove difficult. It&#8217;s also complicated to reproduce such a configuration on another machine. So the best long-term solution is to use Python&#8217;s virtual environments.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8f7f481 e-flex e-con-boxed e-con\" data-id=\"8f7f481\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5111ddd elementor-widget elementor-widget-heading\" data-id=\"5111ddd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do you create a virtual environment?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2dccc2 elementor-widget elementor-widget-text-editor\" data-id=\"d2dccc2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To create a <strong>virtual Python environment in a folder,<\/strong> simply type &#8220;python -m venv \/path\/to\/directory&#8221;, specifying the folder name instead of &#8220;directory&#8221;.<\/p><p>If your system recognizes a version of Python 2 as the default Python interpreter, type &#8220;python3&#8221; instead of &#8220;python&#8221;. On Windows, you can use &#8220;py&#8221; instead of &#8220;python&#8221; to access an installed version of Python.<\/p><p>The process of creating a virtual environment takes between one and two minutes. When it&#8217;s finished, you&#8217;ll be presented with a folder containing several subfolders.<\/p><p>The most important sub-folder is &#8220;bin&#8221; on Unix or &#8220;Scripts&#8221; on Windows. This is where you&#8217;ll find a copy of the Python interpreter for the virtual environment and its utilities.<\/p><p>Each virtual <strong>environment<\/strong> contains its own copy of the Python interpreter, and can therefore be unwieldy. A Python 3.9 virtualenv consumes between 15 MB and 25 MB of disk space, depending on the operating system.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-515989a elementor-widget elementor-widget-image\" data-id=\"515989a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"32\" height=\"32\" src=\"https:\/\/datascientest.com\/en\/files\/2023\/07\/image8.png\" class=\"attachment-large size-large wp-image-169556\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d624549 e-flex e-con-boxed e-con\" data-id=\"d624549\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fd23653 elementor-widget elementor-widget-heading\" data-id=\"fd23653\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do I activate virtualenv?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63e62e7 elementor-widget elementor-widget-text-editor\" data-id=\"63e62e7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Once the <strong>virtual environment<\/strong> has been created, it must be activated before it can be used. Once activated, this virtualenv will remain the default <strong>Python interpreter<\/strong> for the duration of the shell session.<\/p><p>Depending on the operating system and command shell used, different syntaxes are required to activate the environment.<\/p><p>On Unix or macOS, use the command &#8220;source \/path\/to\/venv\/bin\/activate&#8221; with the bash shell. Add &#8220;.csh&#8221; if using the csh shell, and &#8220;.fish&#8221; if using the fish shell.<\/p><p>On Windows, use the code &#8220;path\\to\\venv\\Scripts\\activate.bat&#8221; with the command prompt and &#8220;path\\to\\venv\\Scripts\\activate.bat&#8221; with PowerShell.<\/p><p>Note that the activated environment works only in the context in which it was activated. For example, if you run two instances of PowerShell and activate virtualenv in only one of them, it will only apply to that instance.<\/p><p>Many IDEs (integrated development environments) automatically detect and activate a virtual environment if it is located in the current project folder. This is the case, for example, of <strong>Microsoft Visual Studio<\/strong> Code with the Python extension. Simply open a terminal in Visual Studio Code to automatically activate the selected virtual environment.<\/p><p>\u00a0<\/p><p>\ud83d\udca1Related articles:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"656\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;PyCharm: all about the most popular Python IDE&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/pycharm-all-about-the-most-popular-python-ide\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/pycharm-all-about-the-most-popular-python-ide\" target=\"_blank\" rel=\"noopener\">PyCharm: all about the most popular Python IDE<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Pandas : the Python library dedicated to Data Science&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/pandas-the-python-library\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/pandas-the-python-library\" target=\"_blank\" rel=\"noopener\">Pandas : the Python library dedicated to Data Science<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Seaborn : all about the Data Visualization tool in Python&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/seaborn_and_data_visualization\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/seaborn_and_data_visualization\" target=\"_blank\" rel=\"noopener\">Seaborn : all about the Data Visualization tool in Python<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;PyWin32: Unveiling the Python Extension Exclusively for Windows Systems&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/pywin32-unveiling-the-python-extension-exclusively-for-windows-systems\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/pywin32-unveiling-the-python-extension-exclusively-for-windows-systems\" target=\"_blank\" rel=\"noopener\">PyWin32: Unveiling the Python Extension Exclusively for Windows Systems<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;SymPy: everything you need to know about the Python symbolic computation library &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/sympy-everything-you-need-to-know-about-the-python-symbolic-computation-library\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/sympy-everything-you-need-to-know-about-the-python-symbolic-computation-library\" target=\"_blank\" rel=\"noopener\">SymPy: everything you need to know about the Python symbolic computation library <\/a><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-63c88c6 e-flex e-con-boxed e-con\" data-id=\"63c88c6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d40c2fb elementor-widget elementor-widget-heading\" data-id=\"d40c2fb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How to set up and use the virtual environment?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86071a6 elementor-widget elementor-widget-text-editor\" data-id=\"86071a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Once you&#8217;ve activated the new virtual environment, you can use the pip package manager to add and modify its packages. You&#8217;ll find pip in the &#8220;Scripts&#8221; subfolder on Windows, and in the &#8220;bin&#8221; subfolder on Unix.<\/p><p>Make sure you use the pip instance managing packages for the virtual environment in the context in which it has been activated. This could be a bash or Windows CLI\/PowerShell session, for example.<\/p><p>To check that you&#8217;re using the right pip and the right virtual environment, type &#8220;pip -V&#8221; and check that the path displayed leads to the subfolder of your virtual environment.<\/p><p>To use the virtual environment you&#8217;ve created to run Python scripts, simply invoke Python from the command line in the context in which you&#8217;ve enabled it.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-52de35f e-flex e-con-boxed e-con\" data-id=\"52de35f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb54a4b elementor-widget elementor-widget-heading\" data-id=\"cb54a4b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do you manage packages in virtual environments?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed9fb32 elementor-widget elementor-widget-text-editor\" data-id=\"ed9fb32\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>When you create a new <strong>virtual environment<\/strong>, the pip and setuptools packages are installed. However, it is necessary to install all the other packages you wish to use in the environment.<\/p><p>For projects with complex requirements, keep a list of the required elements in the form of a &#8220;requirements.txt&#8221; file in the project root. If you need to recreate the virtual environment, you can reinstall all the required packages with the &#8220;pip install -r requirements.txt&#8221; command.<\/p><p><strong>Copies of pip<\/strong> and setuptools are local to the virtual environment. Each virtualenv has its own copies, which need to be updated and maintained independently. As a result, you may receive alerts indicating that pip needs to be updated in some environments.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-445dc2c elementor-widget elementor-widget-image\" data-id=\"445dc2c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/07\/gestion-environnement-virtuel-python.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-19e403e e-flex e-con-boxed e-con\" data-id=\"19e403e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-55e3f62 elementor-widget elementor-widget-heading\" data-id=\"55e3f62\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do I disable the virtual environment?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bafc9aa elementor-widget elementor-widget-text-editor\" data-id=\"bafc9aa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Once you&#8217;ve finished using the virtual environment, you can terminate the session you were using it in. If you wish to continue working in the same session with the <strong>default Python interpreter<\/strong>, type the command &#8220;desactivate&#8221; at the prompt.<\/p><p>Windows command prompt users should run &#8220;deactivate.bat&#8221; from the Scripts subfolder. With PowerShell on Windows or OS Unix, simply type &#8220;deactivate&#8221; in any folder.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9689032 e-flex e-con-boxed e-con\" data-id=\"9689032\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-99ae4ea elementor-widget elementor-widget-heading\" data-id=\"99ae4ea\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do I update virtual environments?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cc190e2 elementor-widget elementor-widget-text-editor\" data-id=\"cc190e2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>If you update the <strong>Python runtime on your system,<\/strong> virtual environments are not updated automatically. This is because a change in Python version can interfere with the operation of packages.<\/p><p>In the case of a <strong>minor Python update,<\/strong> you can update the virtual environment by typing the command &#8220;python -m venv \/path\/to\/venv &#8211;upgrade&#8221; in the project folder command prompt. Be sure not to activate the virtual environment beforehand, as the update may not work.<\/p><p>If you have installed a <strong>major Python update<\/strong>, you will need to create a new virtual environment using this version of the language. Do not attempt to update the virtual environment in this case.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd24ad3 elementor-widget elementor-widget-image\" data-id=\"cd24ad3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/07\/mise-a-jour-environnement-virtuel-python.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-dcfaa1f e-flex e-con-boxed e-con\" data-id=\"dcfaa1f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-62a94eb elementor-widget elementor-widget-heading\" data-id=\"62a94eb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Virtual environments on Python 2<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-47f40d5 elementor-widget elementor-widget-text-editor\" data-id=\"47f40d5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Under Python 2, <strong>virtual environments are not a native feature.<\/strong> Third-party libraries must be installed to create and manage them.<\/p><p>The most popular and widely used library is virtualenv, which allows you to create a folder structure and copy the required files <strong>into a virtual environment.<\/strong><\/p><p>To install this library, simply use the &#8220;pip install virtualenv&#8221; command. To create a virtual environment folder, type &#8220;virtualenv \/ path\/to\/directory&#8221;.<\/p><p>Activating and deactivating virtual environments works in the same way as for modern virtual environments in Python 3.<\/p><p>Keep in mind, however, that it is not advisable to use<strong> Python<\/strong> 2 for new development projects. This older version of the language should only be used to maintain older projects, until they can be migrated to Python 3.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-082d881 e-flex e-con-boxed e-con\" data-id=\"082d881\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-50d4dbd elementor-widget elementor-widget-heading\" data-id=\"50d4dbd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Python virtualenv and Jupyter notebooks<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56913d9 elementor-widget elementor-widget-text-editor\" data-id=\"56913d9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>If you&#8217;re using <a href=\"https:\/\/datascientest.com\/en\/jupyter-notebook-an-indispensable-code-sharing-tool\">Jupyter<\/a> or IPython notebooks, create and activate your virtual environment, then type the command &#8220;pip install ipykernel&#8221; to add the components required for IPython.<\/p><p>Finally, type the command &#8220;ipython kernel install -user -name=&#8221;. Replace &#8220;projet_name&#8221; with the project name. You can now launch Jupyter and switch to the <strong>IPython kernel installed in the virtual environment.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-796d9d1 e-flex e-con-boxed e-con\" data-id=\"796d9d1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c3f189d elementor-widget elementor-widget-heading\" data-id=\"c3f189d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do I learn to program in Python?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2322ce3 elementor-widget elementor-widget-text-editor\" data-id=\"2322ce3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Mastering Python<\/strong> is a highly sought-after business skill. However, there are many subtleties to this language, such as virtual environments.<\/p><p>To acquire this expertise, you can choose DataScientest. All our training courses include a module dedicated to <strong>Python programming.<\/strong><\/p><p>You&#8217;ll learn the fundamentals of the Python language, as well as Data Science libraries such as Pandas and NumPy. Other modules cover data analysis, <strong>DataViz, Machine Learning and Business Intelligence.<\/strong><\/p><p>By the end of your chosen course, you&#8217;ll have all the skills you need to work as a Data Scientist, Data Analyst, Data Engineer or Data Manager.<\/p><p>All our courses are distance learning, using a Blended Learning approach combining coached learning on our online platform and Masterclasses. You can choose between an intensive BootCamp mode or Continuing Education.<\/p><p>For financing, our organization is eligible for funding options. Don&#8217;t wait any longer and discover DataScientest!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5353c6 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"d5353c6\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover DataScientest's training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6f6b403 e-flex e-con-boxed e-con\" data-id=\"6f6b403\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a779234 elementor-widget elementor-widget-html\" data-id=\"a779234\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is a Python virtualenv?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"A virtual environment or virtualenv allows you to run multiple parallel instances of the Python interpreter. 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These tools are very useful for data ingestion or transformation, or for high-speed mathematics or Machine [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":181166,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python Virtualenv: Your Essential Guide to Virtual Environments<\/title>\n<meta name=\"description\" content=\"Dive into the ultimate guide to virtual environments and supercharge your coding journey today. 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