(NEXSTAR) – In 2025, nearly 300,000 Americans used a new electronic system to file their taxes directly with the IRS for free. In 2026, that’s no longer an option. IRS Direct File launched as a pilot ...

Facepalm: Users have long criticized Windows 11 File Explorer as inferior to its Windows 10 predecessor. The essential tool suffers from slow launches, sluggish file searches, and delayed right-click ...

Preloading will help File Explorer launch more quickly on less powerful hardware. Preloading will help File Explorer launch more quickly on less powerful hardware. is a senior editor and author of ...

Every Android smartphone needs a file explorer, and for Pixel smartphones and many others, the default option is Files by Google. This free, lightweight app offers essential file management features, ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

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 ...

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 ...

The newly approved Python Enhancement Proposal 751 gives Python a standard lock file format for specifying the dependencies of projects. Here’s the what, why, and when. Python Enhancement Proposal ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...

Histograms are a powerful way to visualize the distribution of numerical data. By representing data in bar form, they allow for easy interpretation of frequencies and patterns within a dataset. In ...

def tail_dependence_approx(data, q, upper=True): Compute tail dependence for increasing quantile levels, approaching extreme tails. Parameters: data (pd.DataFrame or np.ndarray): Input data where each ...