Computer Science

Computer Science refers to the study of computers and computing and is one of the two pillars of Data Science.

This section will discuss content related to operating systems, computational theory, programming language design, algorithmic design, computational complexity, data structures, parallel and distributed computing, operating systems, and more.

Programming is an essential tool for innovation in the digital age, with businesses and organizations across all industries relying…
As our world becomes more complex, programming has also grown in complexity; developing a deeper technical understanding to tackle…
Data science has its roots in statistics, computer science, and data analysis in the 1960s. It has since evolved…
Rust is a compiled, multi-paradigm, low-level, statically-typed, general-purpose programming language emphasizing performance, type safety, and concurrency. It was originally…
Over the past decade, programming has emerged as an indispensable tool, enabling us to tackle challenges previously thought impossible….
In our previous article, What Is Julia, and Why It Matters?, we discussed why Julia is so relevant today and…
Julia is a reasonably new, open-source, high-level, dynamically-typed programming language. It’s a multi-platform language supported on Linux, macOS, Windows and FreeBSD….
Writing code can be as simple as importing the required libraries, declaring our variables, functions, and classes as required,…

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