So if race is disproportionately (but not explicitly) represented in the data fed to a data-mining algorithm, the algorithm can infer race and use race indirectly to make an ultimate decision.

Win for Python. This is not a big issue in Data Science, but it does come up in some contexts. Classical computer science data structures, e.g. binary trees, are easy to implement in Python. This can ...

Get an overview of data structures and algorithms and how they work together ... (so that it’s is easy to ... "Fearless concurrency" in future versions of free-threaded Python. Jun 26, 2025 5 ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.

Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms ...

Facebook makes it relatively easy for users to find out how the site’s algorithm has categorized their interests via a “Your ad preferences” page. 1 Overall, however, 74% of Facebook users say they ...

AI is thought to be only data-driven these days. Let's take a balanced look at AI over time and consider algorithms and process.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...