This project demonstrates how to use Azure Databricks and PySpark to explore and transform financial transaction data. The provided lab notebook (banking_lab.dbc) contained a series of prompts guiding ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

In this tutorial, we explore how we can seamlessly run MATLAB-style code inside Python by connecting Octave with the oct2py library. We set up the environment on Google Colab, exchange data between ...

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 ...

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

Databricks and Microsoft are sticking together for the long run. The two companies have announced an early extension of their partnership, doubling down on a shared goal. Both will help businesses get ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

AI is revolutionizing the way businesses operate, accelerating outcomes, and streamlining internal processes. Jones Lang LaSalle (JLL), a leader in commercial-real-estate (CRE) services, is at the ...