A Python package for composable LaTeX mathematical expressions
Project description
latexsymb
A Python package for composable LaTeX mathematical expressions.
Overview
latexsymb transforms the way mathematical LaTeX expressions are written in Python by providing a programmatic, composable approach. Instead of writing error-prone LaTeX syntax with backslashes and braces, you can build complex mathematical expressions using intuitive Python functions and operators.
Installation
pip install -e .
Quick Start
from latexsymb import lsymb, pths, Sum, sin, cos, alpha, beta
# Create basic symbols
x = lsymb("x")
y = lsymb("y")
# Use operators to build expressions
fraction = x / y # → \frac{x}{y}
power = x ** "2" # → x^{2}
# Use mathematical functions
sine_expr = sin(x) # → \sin\left(x\right)
# Build complex expressions
summation = Sum(sin(alpha * x), "i=1", "n")
# → \sum_{i=1}^{n} \sin\left(\alpha x\right)
print(summation)
Key Features
1. Operator Overloading
Mathematical operators work intuitively:
from latexsymb import lsymb
x = lsymb("x")
y = lsymb("y")
# Basic operations
x + y # → x+y
x - y # → x-y
x * y # → x y (space-separated)
x / y # → \frac{x}{y}
x ** "2" # → x^{2}
2. Delimiter Functions
Auto-sizing delimiters for clean expressions:
from latexsymb import pths, sqbr, br, ang
pths("x + y") # → \left(x + y\right)
sqbr("x + y") # → \left[x + y\right]
br("x + y") # → \left\{x + y\right\}
ang("x, y") # → \left\langle x, y\right\rangle
3. Mathematical Functions
Standard mathematical notation:
from latexsymb import Sum, Prod, Int, lim, dd, pp
Sum("x_i", "i=1", "n") # → \sum_{i=1}^{n} x_i
Prod("a_i", "i=1", "n") # → \prod_{i=1}^{n} a_i
Int("x^2", "dx", "0", "1") # → \int_{0}^{1} x^2 \, dx
lim("f(x)", "x", "0") # → \lim_{x\rightarrow0} f(x)
dd("f(x)", "x") # → \frac{d}{dx} f(x)
pp("f(x,y)", "x") # → \frac{\partial}{\partial x} f(x,y)
4. Common Mathematical Functions
Callable functions that produce proper LaTeX:
from latexsymb import sin, cos, log, ln, exp, sqrt
sin("x") # → \sin\left(x\right)
cos("\\theta") # → \cos\left(\theta\right)
log("x", "2") # → \log_{2}\left(x\right)
ln("x") # → \ln\left(x\right)
exp("x") # → \exp\left(x\right)
sqrt("x") # → \sqrt{x}
5. Pre-defined Symbols
Common symbols and Greek letters:
from latexsymb import alpha, beta, gamma, pi, infty, R, C
# Greek letters
alpha # → \alpha
beta # → \beta
pi # → \pi
# Mathematical constants
infty # → \infty
# Number sets
R # → \mathbb{R}
C # → \mathbb{C}
6. LaTeX Environments
Create multi-line equations and inline math:
from latexsymb import lenv, il
# Inline math
il("x + y") # → $x + y$
# Multi-line environments
equations = ["x &= y", "y &= z"]
lenv("align*", equations)
# → \begin{align*}x &= yy &= z\end{align*}
Complex Examples
Quadratic Formula
from latexsymb import lsymb, sqrt
a, b, c = lsymb("a"), lsymb("b"), lsymb("c")
# x = (-b ± √(b² - 4ac)) / (2a)
discriminant = sqrt(b**"2" - lsymb("4")*a*c)
formula = (-b + lsymb("\\pm") + discriminant) / (lsymb("2")*a)
print(formula)
# → \frac{-b+\pm+\sqrt{b^{2}-4 a c}}{2 a}
Taylor Series
from latexsymb import Sum, under, lsymb, dd
x, a, n = lsymb("x"), lsymb("a"), lsymb("n")
f = lsymb("f")
# f(x) = Σ(n=0 to ∞) [f⁽ⁿ⁾(a)/n!] (x-a)ⁿ
term = (dd(f, under(x, n)) / lsymb("n!")) * (x - a)**n
taylor = Sum(term, "n=0", "\\infty")
print(taylor)
Running Tests
pytest tests/
License
MIT License
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