With great "data" there must also come great responsibility
An in-depth analysis can take days or even months. However, with a single Python command, we can analyze to get a global view of our data.
Docker allows us to easily set up an isolated Django service and share our project avoiding dependencies.
I'll show you the simplest docker container example. If you hate dependencies it will be your best ally.
When we are transforming millions of rows, it is necessary to optimize our code to minimize the processing time. For small datasets, it's just seconds, but in the world of Big Data, it can be hours or days.
Anaconda is a tool that every AI Engineer, Data Scientist, Data Analyst or Data Architect should try sometime in their life.
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