I often need to use this alphabet when I’m trying to writing machine learning content and I want to use the the actual mathematical equation. Hopefully this post comes in handy to others that are looking to use the Greek Alphabet in a Jupyter Notebook. It evaluates a certain expression many times, with slightly different variables, and returns the sum of all those expressions. There are currently 1283 latex symbols that are usable in a Jupyter notebook, I don’t think I will ever get around to using them all but in the event I want find a specific one I now have a source of truth. The complete Greek alphabet can be seen here, along with a little history about it. ![]() This is pretty simple, and not only does it work in markdown cells but it also works within code cells as well. To use them you simply type \Alpha then hit tab and there you have an \alpha character. In case you didn’t know Jupyter notebooks have special tab completions for a whole lot of special characters. So, I decided today that I was going to write this down here so I could reference this next time, and hopefully it helps others as well. From the Python interpreter we can type: > print('Omega: \u03A9') Omega: > print('Delta: \u0394') Delta: > print('sigma: \u03C3') sigma: > print('mu: \u03BC') mu: > print('epsilon: \u03B5') epsilon. ![]() We can print these in python using unicode characters. To make it easy to display monetary values, e.g., '100.00', if a single dollar sign is present in the entire string, it will be displayed verbatim as a dollar sign. A couple commonly used symbols in engineers include Omega and Delta. But as I don’t use them too often at the moment I often forget how to.Īs a result, I will spend several minutes digging around on the internet for how a particular character is typed in a Jupyter notebook. Mathtext should be placed between a pair of dollar signs (). I often find myself wanting to use a Greek Alphabet character when I’m putting together an article or within a Jupyter notebook. You can see the following two code lines produce the same result: > reduce(lambda a, x: a 3.I often want to use characters from the Greek Alphabet in a Jupyter Notebook, and I’m hoping you do too if you’ve stumbled upon this post. You can change these however you need.įor example, if I wanted to solve: Σ π*i^2įor a sequence I, I could do the following: reduce(lambda a, x: a 3.14*x*x, ) The sequence we are summing is represented by the iterable. The formula to the right of the sigma is represented by the lambda. The current value in the iterable is set to x and added to the accumulator. The accumulator is a and is set to the first value ( 0), and then the current sum following that. Reduce() will take arguments of a callable and an iterable, and return one value as specified by the callable. ![]() Result = reduce(lambda a, x: a x, list(range(1,3 1))) You can use the following: from functools import reduce Sum(0.75 ** i for i, si in enumerate(parts))Īn efficient way to do this in Python is to use reduce(). Sum(0.75 ** i * si for i, si in enumerate(parts)) ![]() The head will thus always determine at least 25% of the speedįor example, suppose the shell has a Composite Head (speed modifierġ.6), a Solid Warhead Body (speed modifier 1.3), and a Supercavitationįrom the example we can see that i starts from 0 not the usual 1 and so we can do def speed_coefficient(parts): Weighted average of the speed modifiers s i of the (non-Ĭasing) parts, where each component i starting at the head has half the The names sigma and standard deviation symbol are used interchangeably for this character. In Python, sum will take the sum of a range, and you can write the expression as a comprehension:Ī factor in muzzle velocity is the speed coefficient, which is a The Sigma symbol ( Uppercase sigma, lowercase sigma) is the eighteenth letter of the Greek alphabet which is used to represent the symbol for standard deviation in math. Captial sigma (Σ) applies the expression after it to all members of a range and then sums the results.
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