Install Python
Standard Python installation training on Windows
Last updated
Standard Python installation training on Windows
Last updated
Python is a versatile and powerful programming language widely used for its simplicity, readability, and extensive applications in various domains. Mastering Python opens doors to a world of possibilities, from web development and data analysis to machine learning and artificial intelligence. This comprehensive guide will walk you through the step-by-step process of installing and configuring Python on Windows in a principled and standard manner.
Currently, two major versions of Python are in use: Python 2 and Python 3. While Python 2 is no longer actively maintained and poses security risks, Python 3 is the supported and recommended version for new users. It offers improved performance, enhanced features, and backward compatibility with Python 2 code in most cases. Therefore, choosing Python 3 is crucial for a secure and modern development experience.
Visit the official Python website: https://www.python.org/downloads/.
Under "Downloads for Windows," select the latest stable release of Python 3.x.x.
Choose the installer appropriate for your system architecture, either 32-bit (x86) or 64-bit (x86-64).
Click the download link to save the installer file on your computer.
Locate the downloaded Python installer file and run it by double-clicking.
In the Python 3.x.x Setup window, follow the on-screen instructions carefully.
Accept the default installation location or choose a custom directory if desired.
Strongly recommended: Enable the "Add Python to path" option during installation. This allows you to access Python commands and scripts from anywhere within your system.
Review additional installation options like associating Python with specific file types and installing the launcher for all users. Click the "Install" button to begin the installation process.
The installer will download and install the necessary files on your system.
Upon successful installation, a completion message will be displayed.
Open the Command Prompt (cmd - terminal) or Windows PowerShell.
Type the following command and press Enter:
The output should display information about the Python version, confirming that Python is successfully installed.
You can customize your Python environment by modifying environment variables.
For example, you can add the installation path of Python libraries to the PYTHONPATH variable to make them accessible to Python scripts.
Refer to the official Windows documentation for detailed information on managing environment variables: https://www.computerhope.com/issues/ch000549.htm.
To write and execute Python code, you need a suitable code editor or IDE (Integrated Development Environment).
Popular options include Visual Studio Code, PyCharm, Sublime Text, and IDLE (the default Python editor).
Each editor offers different features and capabilities, so choose one that best suits your coding style and preferences.
Python comes with a standard library of modules for various tasks.
To extend Python's functionality, you can install additional packages using the pip package manager.
For example, to install the popular cryptofuzz library for scientific computing (cryptofuzz document), run the following command in the Command Prompt:
It is recommended to use virtual environments to manage different Python projects with specific dependencies.
Virtualenv is a popular tool for creating and managing virtual environments.
To learn more about virtual environments and how to use them, refer to the official Python documentation: https://docs.python.org/3/tutorial/venv.html.
By following the steps outlined in this guide, you can successfully install and configure Python on Windows, establishing a solid foundation for your journey into the world of Python programming. Remember to explore the vast resources available online, such as tutorials, documentation, and forums, to enhance your learning and development experience.
Tags: Python, Windows, installation, configuration, programming, development, environment variables, code editor, packages, virtualenv, pip, colorthon, blockthon, cryptofuzz, secp256k1 ,tutorial, documentation, resources
