How to install scikit image Windows Python 3 4

Published: 16 November 2023
on channel: CodeWrite
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Sure, I'd be happy to help you with that! Before we start, please note that as of my last knowledge update in January 2022, Python 3.4 is quite old, and it's highly recommended to use a more recent version of Python for security and compatibility reasons. However, if you must use Python 3.4, the steps below should guide you through the process of installing scikit-image on a Windows machine.
If you haven't installed Python 3.4 yet, you can download it from the official Python website: Python 3.4.4. Make sure to select the option to add Python to your system PATH during the installation.
scikit-image depends on NumPy, so you'll need to install it first. Open a command prompt and run the following command:
Please note that you may need to install a specific version of NumPy that is compatible with Python 3.4 and scikit-image.
Now, you can install scikit-image using the following command:
As with NumPy, you may need to install a specific version of scikit-image that is compatible with Python 3.4.
To verify that scikit-image is installed correctly, you can open a Python shell or create a simple script. Here's an example script that imports scikit-image and prints its version:
Save this script with a .py extension (e.g., check_skimage_installation.py) and run it using the command:
If everything is set up correctly, you should see the version of scikit-image printed to the console.
Please check for the latest versions of NumPy and scikit-image that are compatible with Python 3.4, as these libraries may have had updates or changes since my last knowledge update.
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