How do you handle the task of graphing and checking daily operational performance at work? In my workplace, we were doing it in a very analog and tedious way: manually copying data scattered across ...

Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows. Performance differences matter most, with Polars and DuckDB outperforming Pandas on large datasets. Modern ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

A pure-python interface to the Azure Data-lake Storage Gen 1 system, providing pythonic file-system and file objects, seamless transition between Windows and POSIX remote paths, high-performance up- ...

Your browser does not support the audio element. Pandas is a Python library used for data analysis and manipulation on labeled datasets. The core mission of the ...

UNICAMP entry for the 2025 Interspeech challenge on speech emotion recognition. In order to run training you must have at least one 30gb GPU, otherwise you should decrease batch size but it was not ...