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+ ## Lessons Learned
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+ - A uv virtual environment cannot simply be copied from one Mac to another, due to the Mac security setup. A new venv has to be created on the new machine.
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+ - When creating shareable software, a local copy of the Python runtime also needs to be shared. This prevents issues that will arise if the user does not have the required Python version available on their machine.
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+ - When JupyterLab autosaves your work, its stores your data in a hidden file named .ipynb_checkpoints. Other software with an autosave feature probably does something similar. This saved hidden personal data needs to be considered when building secure, privacy-first applications.
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+ - To display all hidden files on a Mac press three keys: Shift Cmd . [Shift Command Full-stop]
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+ - Mac has a tmp folder that's cleaned each time the system reboots. When storing things there keep in mind that the large datasets used in data science work often result in the local machine freezing, and then needing to be restarted.
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+ - It's takes a little bit of thinking and downloading but its entirely possible to create an offline, shareable data science envoronment where all dependencies are stored locally.
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