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20 results for “bbelderbos”
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Function and class decorators!
#function #decorator #FunctionDecorator #ClassDecorator #class
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I recently talked with @bbelderbos about #eventSourcing, #dataStar, and other thoughts that have transformed how I write code today.
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I recently talked with @bbelderbos about #eventSourcing, #dataStar, and other thoughts that have transformed how I write code today.
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I recently talked with @bbelderbos about #eventSourcing, #dataStar, and other thoughts that have transformed how I write code today.
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I recently talked with @bbelderbos about #eventSourcing, #dataStar, and other thoughts that have transformed how I write code today.
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I recently talked with @bbelderbos about #eventSourcing, #dataStar, and other thoughts that have transformed how I write code today.
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Don't get me wrong, the learning curve is real!
However Python devs have a head start — you already think in types, you already care about elegance + clean code.
Which tip would've helped you most? Or any other ones?
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Don't get me wrong, the learning curve is real!
However Python devs have a head start — you already think in types, you already care about elegance + clean code.
Which tip would've helped you most? Or any other ones?
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Don't get me wrong, the learning curve is real!
However Python devs have a head start — you already think in types, you already care about elegance + clean code.
Which tip would've helped you most? Or any other ones?
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Don't get me wrong, the learning curve is real!
However Python devs have a head start — you already think in types, you already care about elegance + clean code.
Which tip would've helped you most? Or any other ones?
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Don't get me wrong, the learning curve is real!
However Python devs have a head start — you already think in types, you already care about elegance + clean code.
Which tip would've helped you most? Or any other ones?
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Tomorrow's free LIVE session covers how to structure real Python projects using these patterns.
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Tomorrow's free LIVE session covers how to structure real Python projects using these patterns.
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Tomorrow's free LIVE session covers how to structure real Python projects using these patterns.
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Tomorrow's free LIVE session covers how to structure real Python projects using these patterns.
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You can also model the repository interface with `typing.Protocol`, so any implementation (SQL, CSV, API, in-memory) just has to “duck type” to that contract:
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This week on our @pybites podcast: Code Smells 🎉
I talk about 15 things to look out for in your (and others) code to make it cleaner and more maintainable over time. 🐍 😍
I hope this is helpful for you:
https://pybit.es/articles/write-more-maintainable-python-code-avoid-these-15-code-smells/Happy to hear your thoughts on this ... 💡
#python #cleancode #codequality #codesmells #maintainability #softwaredevelopment #softwaredesign #codingbestpractices #refactoring
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So now I am a bit puzzled. Just use request.Session for the majority of smaller cases, and for many requests use concurrent.futures?
What is your experience? Are there particular reasons you would use httpx over requests or concurrent.futures? E.g. scaling, asyncio, HTTP/2 support, other?
Curious to hear ...
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People newer to Python often get confused by the statement:
if __name__ == "__main__":
That's many underscores ("dunders"), right?
In essence it lets you put code in your module that ONLY should execute when the module is called directly. So not when you import from it.
I explain this further with a practical example in this 3 minute video:
https://www.youtube.com/watch?v=ubpFY7_dAW4 -
New Pybites video is up:
Database migrations matter! Get up and running with Alembic + sqlmodel
https://youtu.be/gekC1ESLxPs