The reasons might blow your mind.

Despite linear algebra is known for many use cases (especially in statistics), programmers might not know the reasons to learn linear algebra. Here, we’ll outline for reasons to learn linear algebra for programming.

1-Games are designed by the principle of linear and matrix transformations

You might say as a programmer “I don’t need to know linear algebra to create a cracking game. Calculations are being done by the computers anyway”. There’s truth to this statement even though it undermines the knowledge needed to create complex games. Especially when your game characters rotate, move from point A to point B, and all the features of the whole game itself.

2-Needed for a statistical programming

Even though computers do all the calculations for us. Still, they can’t interpret the results of our calculations whether they’re statistical or mathematical. So that’s why we need to know linear algebra if we want to do statistical programming. Especially in regression analysis, some topics of probability, operations research, mathematical statistics, and stochastics. When considered the use in a vast environment in statistics, interpreting the output and using it to make decisions.

3-Needed for mathematical programming

Linear algebra is known for being a fundamental topic in mathematics that’s being used in every field of mathematics after calculus is learned. And nearly all the analysis in mathematics requires some sort of linear algebra when it comes to transformations, orthogonality, orthonormality, applied mathematics, and all sorts of analysis known and proven by scientific means.

4-Needed for advanced mathematical and statistical calculations

We simply have linear algebra mixed into our lives, calculations, and much other stuff that requires advanced calculations. I don’t even mention the fields in physics, biology, chemistry, engineering, economics, mathematics, and statistics. Especially when we consider the real-life applications of all these disciplines, linear algebra itself helps a lot when clearing the data and allowed R to be formed according to the logic of linear algebra.

What do you think about the relationship between linear algebra and programming? Share your thoughts in the comments section below.

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