However, if you are on Mac, triggering the python command will use Python 2, whereas triggering the python3 command will use Python 3.9.7. Like me, if you have multiple versions of Python installed on your machine, you would need to use python3 for using Python 3.9.7. As of writing this blog, the latest stable version of Python was 3.9.7.įollow the below-mentioned steps to setup Selenium in Python: So before proceeding with the further steps, make sure to install Python on your machine. The prerequisite for Selenium Python installation is Python. In this part of the Selenium Python tutorial, we cover the steps involved in setting up the development environment for Selenium automation testing with Python.
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How to configure Python and Selenium for Web Automation Testing
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The bindings support local browser drivers (e.g., Chrome, Firefox, Internet Explorer, etc.) and provide a remote WebDriver that lets you connect to a remote cloud Selenium Grid. Like other Selenium language bindings, Selenium Python APIs can be leveraged to develop highly efficient tests that let you interact with the WebElements on the AUT (Application Under Test). Selenium Python bindings provide APIs using which you can write functional tests using the Selenium WebDriver. In case you do not have prior expertise with Selenium or want to know more about what is Selenium, make sure to check out our detailed Selenium WebDriver tutorial to gain insights into the Selenium automation framework. So how do you get started with Selenium and Python for Selenium automation testing? Well, this Selenium Python tutorial deep dives into the essential aspects of Selenium and Python, the learnings of which will be instrumental in your web automation journey. The prowess of Selenium and Python helps in automating interactions with the WebElements in the DOM (Document Object Model). On a different battleground, the combination of Selenium Python is widely preferred as far as website automation is concerned.Īs per Stack Overflow Developer Survey 2021, Python is the third-most-popular language after JavaScript & HTML/CSS. The package cannot be installed and it matches one of the typical package installation failure cases.Ĭheck the cases and apply related workarounds.įile an issue in the P圜harm issue tracker and provide explicit details about the case including all console output, error messages, and screenshots indicating that you tried to install the package on the same interpreter in the terminal and in the project settings or in the Python Packages tool window.Python is a programming language that needs no introduction! It is one of the most preferred languages when it comes to projects involving Machine Learning (ML), Artificial Intelligence(AI), and more. See how to add and modify a Python interpreter in Configure a Python interpreter. Try to configure another type of Python interpreter for your project and install the package on it. Example: you're trying to install a package that is not available in the Conda package manager repositories. The package cannot be installed because the package is not available in the repository that is supported by the selected package manager. Try to install the package using super-user privileges, for example, sudo pip install. The package cannot be installed because you don't have permissions to install it. Try to create another Python interpreter that is based on the Python version that meets the requirement. The package cannot be installed because the Python version doesn't satisfy the package requirement.
Open the terminal and run the following commands: Ĭopy or memorize the path of the virtual environment and close the dialogs. To check the path of the currently selected Python interpreter that you were trying to install a package on, press Ctrl+Alt+S and go to Project: | Python Interpreter.Įxpand the list of the project interpreters and scroll it down, then select the Show All item.
Install a package on a virtual environment If you get an identical error message, then the problem is not in the IDE and you should review the rationales and typical cases, or search for a solution on the Internet. The most viable troubleshooting action is to try installing the problematic package on the selected Python interpreter using the terminal. This article provides troubleshooting tips and covers some typical cases. Eventually, most of the issues are out of IDE control as P圜harm uses the pip package manager to perform the actual installation.
You might encounter a problem when installing a Python package in the project settings or in the Python Package tool window.