Capturing Your Python Code as a Reproducible, Deployable Project
Once you have something running on your laptop, can you share it with a colleague? Can you save a copy of it that you know you will be able to run later? Can you deploy it on a remote server, recreating the environment you used locally? We'll show you a simple way to do all these things using the anaconda-project tool that pairs a conda environment with a concise specification for commands to run in that environment, whether they be notebooks, dashboards, or REST API servers.
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