PEP 646 Accepted, Strict Function Parameters, Solving Wordle, and More

#509 – JANUARY 25, 2022

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PEP 646: Variadic Generics Was Accepted
This PEP introduces TypeVarTuple, enabling parameterisation with an arbitrary number of types. For example, it allows the type of array-like structures in numerical computing libraries such as NumPy and TensorFlow to be parameterised with the array shape, enabling static type checkers to catch shape-related bugs. The PEP was recently accepted by the Steering Council.
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PEP 679: Allow Parentheses in assert Statements
“It is a common user mistake when using the form of the assert statement that includes the error message to surround it with parentheses. Unfortunately, this mistake passes undetected as the assert will always pass, because it is interpreted as an assert statement where the expression is a two-tuple, which always has truth-y value.”
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Strict Python Function Parameters
Learn about keyword-only and positional-only parameters and see how using strict function signatures can help you write more resilient code.
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Tips on how to design and organize scientific Python code.
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Designing for Users and Building a Social Network With Django
Are you looking for a project to practice your Django skills? Designing the fundamental interactions of a social network is an instructive way to explore models and relationships while learning advanced Django skills. This week on the show, previous guest Martin Breuss talks about his new four-part tutorial series, “Build a Social Network With Django.”
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Solving Wordle With Python
“Wordle seems to be trending and it got me thinking of what would be the best algorithm to solve it. I decided to do a naive implementation in Deepnote with Python that only uses NLTK’s list of all english words and base letter frequencies in english texts. This way, I was able to solve the January 18 challenge, but I used up all available attempts.”
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Starting With Python IDLE
In this course, you’ll learn how to use the development environment included with your Python installation. Python IDLE is a small program that packs a big punch! You’ll learn how to use Python IDLE to interact with Python directly, work with Python files, and improve your development workflow.
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Modulo String Formatting in Python
You can use the % modulo operator for string formatting in Python. It’s a commonly used technique in older Python versions, especially in Python 2. Therefore, you might see it when digging into existing code bases, and it can be helpful to understand how it works.
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Static Typing for Python Decorators
Accurately static typing decorators in Python is tricky. The wrapper function obfuscates type information required to statically determine the types of the wrapped function parameters. Here’s how you can circumnavigate that.
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An introduction to the Python descriptor protocol, with some example use cases. The descriptor protocol allows you to implement custom logic when a variable is accessed, or assigned a new value.
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Dealing With YAML With Arbitrary Tags in Python
Using the PyYAML library to safely read and write YAML with any tags, in a way that’s as straightforward as interacting with built-in types.
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An Introduction to Mypy’s @overload
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How Vectorization Speeds Up Your Python Code
Vectorization allows you to speed up processing of homogeneous data in Python. Learn what it means, when it applies, and how to do it.
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A Trick to Have Arbitrary Infix Operators In Python
Discussing an interesting trick which adds support for infix operators in Python, e.g. 5 |add| 6
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pyccolo: Declarative Instrumentation for Python
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sonora: A gRPC-Web Implementation for Python
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EasyRPC: Sharing Python Functions Between Processes and Applications
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PEP 646 Accepted, Strict Function Parameters, Solving Wordle, and More

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