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How (and why!) to build a Django based project with SQLAlchemy Core for data analysis

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How (and why!) to build a Django based project with SQLAlchemy Core for data analysis
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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I believe that Django ORM can fit almost 95% of the projects, however, it doesn’t perform well for some tasks. You can switch to raw SQL, but again: if you need an additional level of abstraction to build a flexible and better-maintained product, it won’t be enough. Here is when SQLAlchemy Core comes to fill the gap. In this talk, I’d like to cover the following topics: Django ORM, SQLAlchemy ORM, SQLAlchemy Core; when it’s time to consider adding SQLAlchemy Core to the Django application; to highlight integration steps; how to write tests with SQLAlchemy Core; some examples and observations from my personal experience.