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# Description
Update installation guide:
- If I'm installing the bundled app, I don't care about pre-requisites
for installing the Python package, so move that section under the
"Installing as a Pytho package" section
- Modify the header levels, so the second level now only has "Install as
Python package", "Install as bundled app", "Next steps". In particular,
two sections which are only relevant to the Python package route have
been moved down a level to simplify the top level contents.
Co-authored-by: Peter Sobolewski <[email protected]>
Copy file name to clipboardExpand all lines: docs/tutorials/fundamentals/installation.md
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@@ -25,11 +25,8 @@ This guide will teach you how to do a clean install of **napari** and launch the
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If you want to contribute code back into napari, you should follow the [development installation instructions in the contributing guide](https://napari.org/developers/contributing.html) instead.
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```
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## Prerequisites
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Prerequisites differ depending on how you want to install napari.
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## Install as Python package (recommended)
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### Prerequisites for installing napari as a Python package
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This installation method allows you to use napari from Python to programmatically
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interact with the app. It is the best way to install napari and make full use of
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all its features.
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- an environment manager like [conda](https://docs.conda.io/en/latest/miniconda.html) or
After installation you should be able to launch napari from the command line by
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simply running
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measures may further delay launches—even after the first launch.
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````
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## Choosing a different Qt backend
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###Choosing a different Qt backend
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napari needs a library called [Qt](https://www.qt.io/) to run its user interface
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(UI). In Python, there are two alternative libraries to run this, called
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you're not using.
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```
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## Using constraints files
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###Using constraints files
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Since napari 0.4.18, we store constraints files with information about each exact dependency version against which napari was tested.
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This could be useful if you need to install napari as a package from PyPI, and prevents creating environments where napari does not start or work properly.
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