An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

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In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

I tried a custom ranking objective function for LGBMRanker but LGBMRanker does not call the custom loss function with the group argument, which is mandatory for learning to rank. import lightgbm as ...

A defining objective of the Trump administration for America is to reclaim our ability to maximize our resources, to grow, and to build. In contrast, the federal bureaucratic state has come to view ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

A clearly defined purpose helps attract the right clients, leading to stronger, more productive relationships and minimizing issues like miscommunication and scope creep. A defined and clear “why” not ...

After inventing calculus, actuarial tables, and the mechanical calculator and coining the phrase “best of all possible worlds,” Gottfried Leibniz still felt his life’s work was incomplete. Since ...

Industrial organizations are racing to implement AI, yet many struggle to demonstrate concrete value from their investments. The missing element isn't better algorithms or more data; it's clarity ...