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Useful Links and Documents

Useful Links and Documents

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TBM 248: Project-ish

Imagine a spectrum. On one side, you have a team basking in the warm glow of a sunny afternoon, free from constraints, shipping high-quality products at will, with instant access to customers and the best tools, and not a care in the world. On the other side, you have a team thrown into a Sisyphean quagmire—an endless dark maze filled with setbacks, RACI charts, and soul-draining meetings-about-meetings-about-meetings. No one has stayed long enough at the company to see anything ship.

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TBM 247: 15 Metaphors for Waste In Product Development

The drag is there, but you might not be able to see it

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Things I’ve learned about building CLI tools in Python

I build a lot of command-line tools in Python. It’s become my favorite way of quickly turning a piece of code into something I can use myself and package up …

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Python 3.12.0 from a supply chain security perspective

This critical role would not be possible without funding from the OpenSSF Alpha-Omega Project. Massive thank-you to Alpha-Omega for investing in the security of the Python ecosystem! Python ...

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Complexity Theory’s 50-Year Journey to the Limits of Knowledge | Quanta Magazine

How hard is it to prove that problems are hard to solve? Meta-complexity theorists have been asking questions like this for decades. A string of recent results has started to deliver answers.

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Evaluation & Hallucination Detection for Abstractive Summaries

Reference, context, and preference-based metrics, self-consistency, and catching hallucinations.

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Python 3.12 Preview: Static Typing Improvements – Real Python

In this tutorial, you'll preview the new static typing features in Python 3.12. You'll learn about the new syntax for type variables, making generics simpler to define. You'll also see how @override lets you model inheritance and how you use typed dictionaries to annotate variable keyword arguments.

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Learning About Code Metrics in Python with Radon - Mouse Vs Python

There are many different tools that you can install to help you be a better Python programmer. For example, you might install pytest so that you can do

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iximiuz Labs - Learning-by-Doing Platform to master Cloud Native craft

Learn Linux, Containers, Kubernetes, and Server-Side Programming by doing hands-on exercises and projects.

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Playing with genetic algorithms in python

A long long time ago I was young and going to school to attend a Computer Science program. It was so long ago that the data structures course was done in C++ and Java was shown to us as the new kid on the block.

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