This article is to help you learn about how to install Python on Ubuntu 22.04 and Setting up the Python 3 development environment on your Ubuntu Linux server. The output from your terminal should look like this thanks to the hello.py program you wrote:Įnter the command deactivate to exit the environment, and your current directory will be where you start. In the terminal window, we’ll type our program once the text file is opened:īy hitting CTRL + X, Y, and then ENTER, you can save the file and exit nano.Īfter exiting the editor and return to your shell, you can run the following program: We’ll start a command-line text editor like nano and make a new file to complete this: This will allow us to test our environment and, if we haven’t already, provide us a chance to learn more about Python. The installation is completed now ready, so let’s make a classic “Hello, World!” program. Your virtual environment is ready for usage once you’ve completed these procedures. You must only use the python3 and pip3 commands if you use Python 3 on a system that is not part of an environment. Note: You can choose to use the commands pip or python instead of pip3 inside the virtual environment. (my_env) prefix informs us that the environment my_env is now active, which means that any programs we write here will only make use of the parameters and components specific to this environment. Your prefix may alter somewhat depending on the Debian Linux version you are using, but the name of your environment in parentheses should be the first item you see on your line: You’re environment’s name, in this case my_env, will now appear before your command prompt. You must activate this environment before using it, which you can do by entering the command that invokes the activate script as follows: The python on Ubuntu 22.04 sharing directory will contain Python Wheels, a built-package format for Python that can speed up software development by reducing the number of compilations required. You can create an environment by executing the following command after you are in the directory where you want the environments to live:īasically, pyvenv creates a new directory containing the following few contents, which we can see with the ls command: Next, go to the directory where you’ll keep your development environments: Let’s either select the directory where we want to store our Python development environments or make a new directory using the mkdir command, like in: Now that this is set up, we can create environments. While there are several ways to create a programming environment in Python on Ubuntu, we’ll use the venv module, which is a component of the standard Python 3 library. Each environment on your server is essentially a folder or directory with a few scripts inside of it that causes it to function as an environment. There is no limit to the number of Python programming environments you can set up. Particularly when working with third-party software, this is crucial. Virtual environments, you may create a separate area on your server for your Python projects, allowing each of them to have a unique set of requirements without interfering with any of the others.Ī programming environment can be set up to give users more control over Python on Ubuntu projects and the handling of various package versions. You can also read how to install PHP 8.2 on Ubuntu 22.04 Setting up a Virtual Environment The latest Python has been installed on your system and is ready to be used by executing python3.11. We’re using altinstall instead of install since the later command would replace the system’s default python3 binary. Once the build is finished, install the Python binaries by typing: By entering nproc, you may find the number of cores in your system.Ħ. To reduce build time, change the -j to the number of cores in your processor. The -enable-optimizations option allows the Python binary to be optimized by running multiple tests. This script runs a series of tests to ensure that all dependencies are present on your system: Open the Python on Ubuntu source directory and execute the configure command. Once the download is complete, extract the archive as follows:Ĥ. Using the wget command, below to get the necessary Python package:ģ. Sudo apt install build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libreadline-dev libffi-dev libsqlite3-dev wget libbz2-devĢ. First, install the libraries and dependencies required to build Python on Ubuntu:
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