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Fix line breaks in Conda installer blog post
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CAM-Gerlach committed Sep 26, 2023
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Expand Up @@ -18,16 +18,24 @@ However, these standalone applications precluded implementing desirable features
Additionally, these standalone applications were limited to Windows and macOS.

Our new installers provide a more consistent installation experience for all users across all platforms, including Linux, while maintaining the benefits of an isolated runtime environment for Spyder.
Additionally, they provide a runtime environment that is compatible with incremental updates and 3rd party plugin management. Look for future announcements about these and other features!
Additionally, they provide a runtime environment that is compatible with incremental updates and 3rd party plugin management.
Look for future announcements about these and other features!

So what will you see with these new installers?
If you are a Windows user, you will continue to have a GUI installer guiding you through the installation process; you will likely not notice any difference from the previous standalone application installer experience.

![Windows installer](windows.png)

If you are a macOS user, you will now have a pkg installer instead of a dmg compressed disk image. Rather than drag-and-drop the application to the Applications folder, the pkg installer provides a graphical user interface that will guide you through the installation process, just like any other pkg installer.

![macOS installer](macos.png)

If you are a Linux user, you will have an interactive shell script guiding you through the installation process.

![Linux installer](linux.png)

In all cases, you will not need to have Anaconda installed, nor do you need an existing Python environment; in fact, you don't even need a preexisting Python installation. These installers are completely self-contained.
In all cases, you will not need to have Anaconda installed, nor do you need an existing Python environment; in fact, you don't even need a preexisting Python installation.
These installers are completely self-contained.
Spyder will continue to include popular packages such as numpy, matplotlib, scipy, etc., so you can start coding out-of-the-box.
However, you will still be able to use Spyder with your existing conda and pip (or any other) Python environments, as before.

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