math is a built in library for python. You don't need to install it. Just remove it from requirements.txt.
If you are having a similar problem importing other Python modules in a Docker image using the requirements.txt file, make sure it is not one of Python's many, many other built-in functions. The complete list is here:
https://docs.python.org/3.8/py-modindex.html
(Select the appropriate version from the dropdown menu at the top of the page.)
Answer from Code-Apprentice on Stack OverflowDoes anyone have problem installing math module on python 3.5.2 & 3.6?
Python Math Library made in 3 Days as a 14 year-old - libmaths
Python math module - Stack Overflow
python - Where are math.py and sys.py? - Stack Overflow
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math is a built in library for python. You don't need to install it. Just remove it from requirements.txt.
If you are having a similar problem importing other Python modules in a Docker image using the requirements.txt file, make sure it is not one of Python's many, many other built-in functions. The complete list is here:
https://docs.python.org/3.8/py-modindex.html
(Select the appropriate version from the dropdown menu at the top of the page.)
math, along with Python's many, many other built-in modules, should not be included in the requirements.txt file. Delete that line from the file.
The complete list of built-in modules (i.e. modules which shouldn't be in requirements.txt) is here:
https://docs.python.org/3.8/py-modindex.html
(Be sure to select your Python version from the dropdown menu at the top of the page.)
This post applies when creating a Docker image, such as with Binder from a GitHub repository. It does not apply when importing modules in a Python script.
» pip install python-math
Hey r/Python! Today, I wanted to make a post about a recent project I took upon myself (This is my first "major" project). This project is both a mixture of math, and computer science and I thought it was worth sharing here.
Install libmaths on PyPi or from my GitHub: PyPi | GitHub Repo
If you have GitHub account, please star the repository. I'd greatly appreciate it.
Three days ago, I decided to create my own Python library as a 14-year old high school student, libmaths. I've always used them but something I never understood was how they were made or where they were coming from. I did the research on how to design my library and publish it and immediately started. I plan on maintaining the library and dealing with any issues or concerns everyday.
An issue I thought mathematicians faced in programming was the incapability to draw graphs and models in a short period of time within their code. With some research, I gathered a list of functions I wanted to implement to begin with. I have no calculus experience but I was determined to add a couple calculus functions. I needed a lot of help to understand the math and google came pretty clutch.
libmaths is an extremely efficient library allowing the user a smooth experience in graphing and modeling functions. From linear functions all the way to sextic functions and much more, libmaths has it all.
In the GitHub repository, examples for every single function are provided as well as the file itself if you would like to play around with the values or change code yourself.
If there's one thing I learned from this experience, it's that math and computer science put together can be an amazing tool and there's no limit to how much you can learn with the internet.
To anyone trying to pursue coding, there's plenty of resources on the internet and considering we are already in the r/Python subreddit, you can also put math to use in your code!
Example showing one of the many functions available in libmaths!The math and sys modules are builtins -- for purposes of speed, they're written in C and are directly incorporated into the Python interpreter.
To get a full list of all builtins, you can run:
Copy>>> import sys
>>> sys.builtin_module_names
On my machine, that results in the following list:
Copy__builtin__
__main__
_ast
_bisect
_codecs
_codecs_cn
_codecs_hk
_codecs_iso2022
_codecs_jp
_codecs_kr
_codecs_tw
_collections
_csv
_functools
_heapq
_hotshot
_io
_json
_locale
_lsprof
_md5
_multibytecodec
_random
_sha
_sha256
_sha512
_sre
_struct
_subprocess
_symtable
_warnings
_weakref
_winreg
array
audioop
binascii
cPickle
cStringIO
cmath
datetime
errno
exceptions
future_builtins
gc
imageop
imp
itertools
marshal
math
mmap
msvcrt
nt
operator
parser
signal
strop
sys
thread
time
xxsubtype
zipimport
zlib
These modules are not written in Python but in C.
You can find them (at least on linux) in a subfolder of the lib-folder called lib-dynload.
The math module is then in a file math.cpython-33m.so (on windows probably with .dll instead of .so). The cpython-33m part is my python version (3.3).