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A Python utility library for math, algebra, data structures, and everyday tools

Project description

eapy

A Python utility library that extends the standard library with math, algebra, data structures, and everyday tools.

Features

Math & Algebra

  • VectorVector2D, Vector3D, and N-dimensional Vector with arithmetic, dot product, magnitude, coordinate conversions
  • Matrix — 2D matrix operations (add, subtract, multiply, divide, power) with N×N determinant
  • Tensor — 3D tensor with arithmetic, slicing, transpose
  • Polynomial — polynomial arithmetic, evaluation (Horner's method), derivative, integral
  • Complex — complex number arithmetic, conjugate, phase, polar conversion
  • Symbolic AlgebraVar for building symbolic expressions with simplify & evaluate
  • InfiniteSet / Interval — set operations on numeric intervals

Trigonometry

  • Full set: sin, cos, tan, sec, csc, cot
  • Inverse: asin, acos, atan, atan2, asec, acsc, acot
  • Hyperbolic: sinh, cosh, tanh, asinh, acosh, atanh
  • Versed: versine, vercosine, coversine, covercosine

Combinatorics & Number Theory

  • permutation, combination, catalan, stirling2
  • gcd, lcm, isPrime, fibonacci, digitsSum
  • eulerTotient, primeFactors, modPow

Statistics

  • mean, median, variance, std, mode

String Utilities

  • Name conversion: toCamelCase, toSnakeCase, toPascalCase
  • levenshtein — edit distance between two strings

Functional Programming

  • pipe(value, f, g, h) — pipeline: h(g(f(value)))
  • compose(f, g, h)(x) — composition: f(g(h(x)))
  • curry(func)(a)(b)(c) — currying

Data Structures

  • Stack — LIFO stack (push/pop/peek)
  • Queue — FIFO queue (enqueue/dequeue)
  • Trie — prefix tree (insert/search/words_with_prefix)
  • LinkedList — singly linked list (append/prepend/remove/find)
  • CircularBuffer — fixed-size circular buffer
  • PriorityQueue — min-heap priority queue

Base Conversion

  • baseConvert(n, from_base, to_base) — arbitrary base conversion (2-36)
  • toBinary, toOctal, toHex — quick conversions

Color Utilities

  • rgbToHsl / hslToRgb — RGB ↔ HSL conversion
  • rgbToHex / hexToRgb — RGB ↔ HEX conversion

Numerical Methods

  • bisect(f, a, b) — bisection root finding
  • newtonMethod(f, f', x0) — Newton's method
  • numericalIntegral(f, a, b) — Simpson's rule integration

Utility & Decorators

  • Timer — simple stopwatch timer
  • clamp, lerp, mapRange — numeric helpers
  • flatten, chunk, deepGet, uniqueId — data helpers
  • @retry, @memoize, @deprecated, @singleton — decorators
  • printTable — formatted console table output
  • getPath — interactive file/directory picker
  • repeatUntilSecond, repeatUntilSecondOrBool, repeatUntilValueChange — loop helpers

Broadcast / Messaging

  • whenGetMessage, broadcast, broadcastWithData — simple event system

Threads

  • newThread, startThreads, deleteThread — simple thread management

Validation

  • isEmail, isURL, isIP — common format validators

Date Utilities

  • daysBetween, isLeapYear, weekday — date helpers

Progress Bar

  • ProgressBar — simple terminal progress bar

Hash Utilities

  • md5, sha256, hashFile — quick hashing

Random Utilities

  • randomChoice, shuffle, randomString, randomInt, randomFloat — enhanced random helpers

File I/O

  • readJson, writeJson — JSON file helpers
  • readCsv, writeCsv — CSV file helpers

Encoding

  • base64Encode, base64Decode — Base64 encoding
  • urlEncode, urlDecode — URL encoding

Math Extensions

  • factorial — factorial
  • matrixInverse — matrix inverse (Gauss-Jordan)
  • interpolate — linear interpolation

Regex Utilities

  • extractEmails, extractURLs — extract from text
  • replaceMultiple — multi-pattern replacement

Installation

pip install eapyTool

Quick Start

from eapy.core import Var, Polynomial, Vector3D, mean

# Symbolic algebra
x = Var('x')
expr = (x + 2) * (x + 3)
print(expr.evaluate(x=5))  # 56.0

# Polynomial
p = Polynomial([1, -3, 2])  # 1 - 3x + 2x^2
print(p.derivative())        # -3 + 4*x
print(p(10))                 # 171.0

# Vector
v = Vector3D(1, 2, 3)
print(v.abs())               # 3.7416...

# Statistics
print(mean([4, 8, 15, 16, 23, 42]))  # 18.0

Development

# install with dev dependencies
pip install -e ".[dev]"

# run tests
pytest

# lint
ruff check src tests
ruff format --check src tests

License

MPL-2.0

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