System Requirements

The System Requirements article provides important information on the necessary hardware and software requirements needed to seamlessly integrate Aspose.SVG for Python via .NET into development environments, ensuring optimal performance and compatibility across a variety of platforms and configurations.

To build and manipulate SVG documents, the machine that Aspose.SVG for Python via .NET runs on doesn’t need to have modeling and rendering software installed.

Supported Operating System

Aspose.SVG for Python via .NET supports any 64-bit or 32-bit operating system where Python 3.6 or later is installed. Support for Linux and macOS is planned for future versions.

Windows

• Microsoft Windows Server 2022 (x64)
• Microsoft Windows 2019 Server (x64)
• Microsoft Windows 2016 Server (x64)
• Microsoft Windows Server 2012 R2 (x64)
• Microsoft Windows Server 2012 (64-bit edition) (x64)
• Microsoft Windows Server 2008 R2 SP1 (x64)
• Microsoft Windows Server 2008 SP2 (x64, x86)
• Microsoft Windows 11 (x64)
• Microsoft Windows 10 (x64, x86)
• Microsoft Windows 8.1 (x64, x86)
• Microsoft Windows 8 (x64, x86)
• Microsoft Windows 7 SP1 (x64, x86)
• Microsoft Windows 8, 8.1 (x64, x86)
• Microsoft Windows 10 (x64, x86)
• Microsoft Azure

Development Environments

You can use Aspose.SVG for Python via .NET to develop applications in any development environment that targets Python programming:

1. VS Code (Visual Studio Code) is lightweight and fast, coupled with a rich ecosystem of extensions, giving developers powerful tools to write, debug, and efficiently manage Python code. Integrated terminal and debugging support streamline your development workflow, while version control integration ensures seamless collaboration. Additionally, VS Code’s cross-platform compatibility makes it accessible to Windows, macOS, and Linux developers, increasing its appeal as a versatile and user-friendly Python development environment.
2. PyCharm is a powerful Python IDE developed by JetBrains. It provides a comprehensive set of tools for Python development, including code completion, debugging, refactoring, and version control integration.
3. Spyder is an open-source Python IDE designed for scientific computing and data analysis. It provides a powerful environment for interactive development and exploration of Python code, especially in the field of data science.