This one is a little tricky.

The math module is implemented in a C module, mathmodule.c. At the end of that file there is a specific Python library structure that defines exp as implemented by math_exp:

static PyMethodDef math_methods[] = {
    # ...
    {"exp",             math_exp,       METH_O,         math_exp_doc},

but math_exp itself is actually defined via the FUNC1 macro, using the math_1 wrapper function to call the C library exp function with some error handling and type conversion:

FUNC1(exp, exp, 1,
     "exp(x)\n\nReturn e raised to the power of x.")

However, the C function implementation itself is entirely platform dependent, and on modern hardware is usually taken care of in hardware. You would have to turn to a software version of the function to find a starting point to implement this in Python.

You could use the fdlibm implementation as such a starting point, perhaps, here is a link to the exp function implementation in C from that library:

  • http://www.netlib.org/fdlibm/e_exp.c

or you could refer to this implementation instead:

  • http://fossies.org/dox/glibc-2.17/sysdeps_2ieee754_2ldbl-128ibm_2e__expl_8c_source.html#l00135
Answer from Martijn Pieters on Stack Overflow
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Beautiful Soup
tedboy.github.io › python_stdlib › generated › generated › math.exp.html
math.exp() — Python Standard Library
Docs » · api » · math » · math.exp() · View page source · math · (x)¶ · Return e raised to the power of x · Next Previous
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GitHub
github.com › python › cpython › issues › 101594
Incorrect docstring of math.exp (math.e vs Euler's number) · Issue #101594 · python/cpython
January 1, 2023 - >>> import math >>> help(math.exp) Help on built-in function exp in module math: exp(x, /) Return e raised to the power of x. I would rephrase this as: "Return the exponentia...
Published   Feb 06, 2023
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GeeksforGeeks
geeksforgeeks.org › python › python-math-library-exp-method
Python math library | exp() method - GeeksforGeeks
February 7, 2023 - Python has math library and has many functions regarding it. One such function is exp(). This method is used to calculate the power of e i.e. e^y or we can say exponential of y.
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Python
docs.python.org › 3 › library › math.html
math — Mathematical functions
>>> from math import exp, expm1 >>> exp(1e-5) - 1 # gives result accurate to 11 places 1.0000050000069649e-05 >>> expm1(1e-5) # result accurate to full precision 1.0000050000166668e-05
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Tutorialspoint
tutorialspoint.com › home › python › python number exponential function
Python Number Exponential Function
February 21, 2009 - Master the number exponential function in Python with our comprehensive guide and examples.
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W3Schools
w3schools.com › python › ref_math_exp.asp
Python math.exp() Method
Python Examples Python Compiler Python Exercises Python Quiz Python Challenges Python Server Python Syllabus Python Study Plan Python Interview Q&A Python Bootcamp Python Certificate Python Training ... #Import math Library import math #find the exponential of the specified value print(math.exp(65)) print(math.exp(-6.89)) Try it Yourself »
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The Cloistered Monkey
necromuralist.github.io › Neurotic-Networking › posts › first-course › basic-numpy-for-neural-networks › index.html
Basic Numpy for Neural Networks | Neurotic Networking
February 18, 2021 - Build a function that returns the sigmoid of a real number x using math.exp(x) for the exponential function. One reason why we use "numpy" instead of "math" in Deep Learning · Implement the sigmoid function using numpy. ... Numpy is the main package for scientific computing in Python.
Find elsewhere
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Trymito
trymito.io › excel-to-python › functions › math › EXP
Excel to Python: EXP, POWER Function - A Complete Guide | Mito
GithubDownload · Functions · Math · EXP · Related FunctionsSQRT · Excel's EXP function calculates the exponential of a given number, using the constant 'e' as the base. This function plays a vital role in various fields such as finance, ...
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PyMC
pymc.io › projects › docs › en › stable › api › generated › pymc.math.exp.html
pymc.math.exp — PyMC 5.28.0 documentation
GitHub · Mastodon · Twitter · YouTube · Discourse · pymc.math.exp = Elemwise(scalar_op=exp,inplace_pattern=<frozendict {}>)[source]# e^`a` Computes the element-wise exponential of a tensor. Parameters: aTensorLike · Input tensor · Returns: TensorVariable ·
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Python Examples
pythonexamples.org › python-math-exp
Python math.exp() - Exponential Function
Learn how to use the math.exp() function in Python to calculate the exponential of a number. This tutorial covers the syntax, mathematical formula, and practical examples, including how to handle both positive and negative inputs.
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GitHub
github.com › doingmathwithpython
GitHub home for "Doing Math with Python" · GitHub
GitHub home for "Doing Math with Python" by Amit Saha, published by No Starch Press - GitHub home for "Doing Math with Python"
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Learn with Yasir
yasirbhutta.github.io › python › docs › math-module
Python math Module Tutorial – Functions, Examples, and Usage | Learn with Yasir
These functions are essential in algebra for handling exponents and square roots. Power (math.pow(x, y)): Returns x raised to the power of y.
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GitHub
github.com › pnavaro › math-python
GitHub - pnavaro/math-python: Python notebooks for mathematicians
Python notebooks for mathematicians. Contribute to pnavaro/math-python development by creating an account on GitHub.
Starred by 3 users
Forked by 4 users
Languages   Python 62.6% | Jupyter Notebook 36.8%
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Stack Overflow
stackoverflow.com › questions › 46765056 › python-math-exp-function-syntax
Python math.exp function Syntax - Stack Overflow
case = 1 Dref = [1,2,3,4] i = 2 j = 1 t = 1 m = 1 Temp = 320 import math D[case] = (Dref[case]*((50/ t)^ m )) * ( math.exp((20/6)*((1/295) - (1/Temp))): print (D[case])
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Linux Hint
linuxhint.com › python-math-exp
Python Math Exp - Linux Hint
Linux Hint LLC, [email protected] 1210 Kelly Park Circle, Morgan Hill, CA 95037 Privacy Policy and Terms of Use
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Note.nkmk.me
note.nkmk.me › home › python
Power and Logarithmic Functions in Python: exp, log, log10, log2 | note.nkmk.me
August 10, 2023 - In Python, you can calculate power and logarithmic functions with the math module. math - Power and logarithmic functions — Mathematical functions — Python 3.11.4 documentation Euler's number (Napie ...
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GitHub
github.com › numba › numba › issues › 765
math.exp is slower than np.exp · Issue #765 · numba/numba
February 8, 2014 - I expected them to compile to the same thing, so why is there a difference in speed? As seen in the script below, both compile in nopython mode, so that is not the problem... ... from timeit import repeat import math import numpy as np from numba import jit, njit, __version__ print "using numba", __version__ def timefunc(func, *args, **kwargs): # warm JIT func(*args, **kwargs) t = min(repeat(lambda: func(*args, **kwargs), number=5, repeat=2)) print('%s: %d ms' % (func.__name__, t * 1000)) @jit def loop_npexp1(a): length = len(a) result = np.empty(length, dtype=np.float64) for i in range(length
Published   Sep 15, 2014
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Python.org
discuss.python.org › ideas
`math.exp` and `math.log` delegate to `__exp__` and `__log__` methods? - Ideas - Discussions on Python.org
December 6, 2024 - SciPy 1.15 is slated to support basic mathematical operations on random variables. For instance, if X is an object representing a normal random variable, it will support operations like 3*abs(X)**2 + 1; the resulting ran…