adpkg 0.1.4

A beginner-friendly package for advanced mathematical calculations including finance, number theory, strings, matrices, statistics, and geometry.

Advanced Math Utilities (adpkg)

Welcome! 👋 This package gives you a bunch of handy tools for math, finance, and geometry in Python. You don’t need to be a math expert—just import and use!

It includes modules for:

• Finance: Calculate compound interest easily
• Number Theory: Check primes, factorials, permutations, combinations
• Strings: Reverse words or phrases
• Matrices: Add, multiply, transpose, and find determinants
• Statistics: Mean, median, mode
• Geometry: Triangle area with Heron’s formula

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📦 Installation

Install from PyPI (make sure you have Python installed):

pip install adpkg

Check if it worked:

python -m pip show adpkg

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🚀 Quick Start

Here are simple examples to get you started. More detailed examples are below.

from adpkg import finance, adcustom, triangle

# Calculate compound interest
print(finance.interest(1000, "1y", 12, 5))

# Factorial
print(adcustom.factorial(5))

# Reverse a string
print(adcustom.string_reverse("hello"))

# Area of a triangle
print(triangle.areaoftriangle(3, 4, 5))

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💰 Finance Module

interest(prime_amount, time_duration_str, n, rate)

• Calculates compound interest based on years/months.
• Duration formats: "2y", "6m", or "1y6m".

from adpkg import finance
print(finance.interest(1000, "1y", 12, 5))   # 51.161
print(finance.interest(2000, "5y", 4, 7))   # 816.622

# Edge case: invalid input
print(finance.interest(1000, "abc", 12, 5))  # None

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🔢 AdCustom Module

Number Theory

check_prime(n) → 1 if prime, 0 if not, None if invalid.

print(adcustom.check_prime(17))  # 1
print(adcustom.check_prime(10))  # 0

factorial(n)

print(adcustom.factorial(5))   # 120
print(adcustom.factorial(-2))  # None

permutation(n, r)

print(adcustom.permutation(5, 2))  # 20

combination(n, r)

print(adcustom.combination(5, 2))  # 10

Strings

string_reverse(s)

print(adcustom.string_reverse("hello"))  # "olleh"

Matrices

matrix_addition(a, b)

print(adcustom.matrix_addition([[1,2],[3,4]], [[5,6],[7,8]]))
# [[6,8],[10,12]]

matrix_multiplication(a, b)

print(adcustom.matrix_multiplication([[1,2],[3,4]], [[5,6],[7,8]]))
# [[19,22],[43,50]]

matrix_transpose(a)

print(adcustom.matrix_transpose([[1,2,3],[4,5,6]]))
# [[1,4],[2,5],[3,6]]

determinant_value(a)

print(adcustom.determinant_value([[1,2],[3,4]]))  # -2

Statistics

mean(data)

print(adcustom.mean([1,2,3,4,5]))  # 3.0

median(data)

print(adcustom.median([1,3,2,5,4]))  # 3

mode(data)

print(adcustom.mode([1,2,2,3,4,4,4,5]))  # ([4], 3)

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🔺 Triangle Module

areaoftriangle(a, b, c, unit='')

• Uses Heron’s formula.

print(triangle.areaoftriangle(3, 4, 5))           # 6.0
print(triangle.areaoftriangle(3, 4, 5, "sq cm")) # "6.0 sq cm"

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🧪 Running Tests

We included some test files (test1.py – test5.py).

Run one test:

python test1.py

Run all tests at once:

python -m unittest discover -s . -p "test*.py"

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🛠️ Contributing

Want to help? Awesome! Here’s how:

1. Fork this repo → Make your own copy on GitHub.
2. Create a branch → Work on your changes in a separate branch.
3. Add your code and tests → Make sure it works!
4. Open a Pull Request → Propose your changes.

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🗺️ Roadmap

• ✅ Current: Finance, number theory, strings, matrices, stats, triangles
• 🔜 Next: Probability, calculus, polynomials, advanced linear algebra
• 📊 Future: Machine learning helpers, symbolic algebra, optimization

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📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

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📬 Contact