Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

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 ...

Get the latest federal technology news delivered to your inbox. The IRS is recommitting to its decades-old partnership with tax prep companies as the main option for Americans to file their taxes ...

CAN Data Analyzer This Python script (analyze_can_data.py) decodes CAN bus data from a CSV file using a DBC file and outputs the decoded signals to a new CSV file. It processes CAN messages, handles ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

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 ...

ASP.NET Core offers a simplified hosting model, called minimal APIs, that allows us to build lightweight APIs with minimal dependencies. We’ve discussed minimal APIs in several earlier posts here.

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

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, ...

WASHINGTON, DC - SEPTEMBER 15: A sign marks the entrance to the U.S. Internal Revenue Service (IRS) headquarters building on September 15, 2024, in Washington, DC. (Photo by J. David Ake/Getty Images) ...

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 ...