No sooner than I posted my job availability on LinkedIn, than I got contacts from “recruiters” who wanted my resume:
Scammer 1
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Scammer 2
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Scammer 3
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No sooner than I posted my job availability on LinkedIn, than I got contacts from “recruiters” who wanted my resume:
I have been surveying Python class definition systems for awhile and yesterday I watched a webcast of Param and was very impressed. Param is the bottom floor of a very impressive data science / web application development stack that has 100% support from Anaconda. Param was developed for over 10 years in academia.
Pydantic is quite popular but lacks the reactive capabilities that Param, Atom, Traits and Traitlets have. It also is more about type conversion than validation (according to yesterday’s webinar). There is quite a bit of tooling around Pydantic in the form of Pydantic settings (for configuring apps), Pydantic-CLI (and Typer) for command-line interfaces, and Pydantic-SQLAlchemy to make using SQLAlchemy even easier. And FastAPI appears to use it under the hood. And FastAPI is the 3rd most popular web framework in Python behind Django and Flask.
CubicWeb is another object system that comes with a massive infrastructure around it. Even though you define classes similar to these other libraries, are you actually creating a UML relational structure which pumps out CRUD apps and has been doing so for over a decade!
My reddit post on learning Python by implementing computer games has over 300 upvotes! I do agree that programming should be fun and that learning from games is way more fun that a dry textbook. Of course, later you would want to learn from these legendary text:
the MIT book that replaced the legendary SICP (even though that has been re-implemented in Python). And the also Algorithms in Python will help you pass all those starchy, stiff job candidate tests.