Data science has become one of the most rewarding and future-driven careers in the US, offering an average annual salary ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

The Federal Government has commenced a comprehensive personnel audit and skills gap analysis across Ministries, Departments and Agencies (MDAs) as part of efforts to strengthen data integrity, improve ...

Global data center power demand is averaging a 17% annual growth rate, a new McKinsey study found. In the US, data centers could account for 14% of total power demand by 2050. Fossil fuels are likely ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Lisa Stiffler on Oct 9, 2025 at 6:00 ...

Learning Python can feel like a big task, but with the freeCodeCamp Python curriculum, it gets a lot easier. I remember when I first tried to learn Python, I bounced between tutorials, books, and ...

You hop into the bathroom, ready for a quick shower or a long soak, and suddenly notice soap scum, hard water marks, or stubborn stains clinging to your tub. Keeping it clean isn’t just about ...

Abstract: Data cleaning, also known as data cleansing or data scrubbing, is the process of identifying and correcting errors, inconsistencies, and inaccuracies in datasets. It is a crucial step in ...

The world runs on data. A hallmark of successful businesses is their ability to use quality facts and figures to their advantage. Unfortunately, data rarely arrives ready to use. Instead, businesses ...

There are not many desirable options for accommodating the electricity needs of data centers. And some of the possibilities are especially bad—bad for consumers, bad for the environment and even bad ...