The pandas team has released pandas 3.0.0, a major update that changes core behaviors around string handling, memory semantics, and datetime resolution, while removing a substantial amount of ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.

How chunked arrays turned a frozen machine into a finished climate model ...

A while ago, I was asked by a former colleague about the best way to convert Parquet files into comma-separated values (CSV) format using Python. The honest answer? It depends. And so on and so on ...

Abstract: Modern computers enhance I/O performance through parallel I/O, yet due to the scalability issues of file systems, parallel I/O cannot achieve the desired performance improvement. In this ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

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