Mathematical knowledge certainly helps with many programming problems.
Logic helps simplify problems.
Then there are mathematical applications in: Games (vectors), financial software (all sorts of algorithms, functions), machine learning (networks, graphs, matrices), Social networks (graph theory), cryptography (number theory) and so I can very long Continue.
For this reason, a university study of computer science consists of a considerable amount of mathematics.
Without mathematics, simplifying and solving many problems is more difficult.
You can program fine Web applications without too much mathematical knowledge, but mathematical knowledge does help in many branches within software development.
No, math doesn’t help with programming.
Wèl helps meticulous precision when drawing up programs.Computers cannot ‘ look through our mistakes ‘ yet!
Math doesn’t have much to do with programming, so if you’re not good at math that’s not a reason not to go trying to program, what you do have to do is be very very good at precision, our computers are reasonably “stupid” things that read what your Pro Gram more language they told and that will perform, if there is an error in the Codo state IE will do it wrong (which is often burdened with viruses) or even not out at all.
This is because the computer is not yet smart enough to improve the programming language itself:)
In general, if you are good at programming then mathematics is also fairly easy to follow.That may sound weird but that’s because in both cases you have to think logically. You often have to puzzle to get a good answer.
So if you already have problems to understand fractions and percentages then programming will also become a challenge.But things like trigonometry and differential arithmetic are not things you generally need with programming.
However, you may have to deal with programming projects with mathematics.If you are working on software to calculate a mortgage, you can quickly see all sorts of formulas that you have to implement and test.
Where you indirectly also get a lot to do with programming is the set theory.This is because data in a database is simply a collection and every search query you give is a subset. In addition, probability theory and statistics are also part of programming work, although this is still best in terms of complexity. The most complex I’ve been dealing with was a Monte-Carlo simulation to predict if someone would be able to repay a certain debt over the course of years.
It may also be that you are dealing with game theory.Then you come soon in the field of artificial intelligence.
But for most programmers, knowledge of Financial mathematics is more than enough…
Good answers, so purely a supplement:
(Real/Pure) Logical reasoning is very fine, as well as actual (!) consistency.
Two characteristics certainly present in mathematics, but not limited to that.
I know myself a linguistically really genius, dramatic in mathematics, but with the master 10 + for the language logic and philosophical logic-forms.
I ask myself to the day today how good that would be in programming, probably very good [but that I will never know:-)