This is partly due to its large and active community of developers who contribute to developing new libraries and tools and provide support through online forums and discussion groups. Python’s popularity has been steadily increasing over the years, and it is now one of the world’s most widely used programming languages. It is also widely used in scientific computing, data analysis, and visualization, thanks to the availability of powerful libraries such as NumPy, SciPy, and Matplotlib. Python is a general-purpose language used for various tasks, including scripting, automation, and system administration. One of the reasons for Python’s popularity is its versatility. It has become a favorite among developers, data scientists, and researchers and is used in various applications, from web development to machine learning and artificial intelligence. Created in the late 1980s by Guido van Rossum, Python is known for its simplicity, readability, and ease of use. That’s it! You have successfully installed Python 3.6 on your CentOS system and it should be easy to utilize Python programming language to develop a new application.Python is a high-level programming language that has gained tremendous popularity over the years. This means that if you create new programs in this environment, they will only utilize the settings and packages specific to this environment.īy now, the Python virtual environment is set and ready to use. $ (my_project_venv) prefix indicates that the Python virtual environment my_project_venv is currently active. Once the virtual environment is activated, your shell prompt should be prefixed with the title of the virtual environment. Now, run the command below from within the new Project root to fashion a new environment called my_project_venv: $ python -m venv my_project_venvĮxecute the command below to enable the new virtual environment: $source my_project_venv/bin/activate Next, run the command below to enable Python: $ scl enable rh-python36 bash It ensures that every project has its own dependencies and that it will not interfere with other projects.įirst, fashion a new project directory, then switch to the directory: $ mkdir ~/my_new_project

The environment offers unprecedented control over your system for Python projects. The Python virtual environment permits you to configure Python packages in a secure location.

Install python3 on rhel 7