StoaCalculator 0.1.1

A powerful stoa calculator

Stoa Calculator

Stoa Calculator is a powerdul calculator that have everything you need for calculating anything!

This calculator can do from basic aritmethic to advanced calculus, we will be releasing more updates and adding more features, our goal is to make this calculator the most powerful calculator ever to exist.

Installation

Windows:

python3 -m pip install stoacalculator

Usage example

We can use Stoa Calculator in many ways, one of the best ways is to use it for trigonometry and calculus.

import stoacalculator

# Basic Aritmethic
stoacalculator.add_numbers(1,2)
stoacalculator.substract_numbers(1,2)
stoacalculator.multiply_numbers(1,2)
stoacalculator.divide_numbers(1,2)
stoacalculator.pow_numbers(1,2)
stoacalculator.sqr_root(1,2)

# Trigonometry
stoacalculator.sin(4)
stoacalculator.cos(4)
stoacalculator.tan(4)
stoacalculator.asin(4)
stoacalculator.acos(4)
stoacalculator.atan(4)

# Basic Geometry
stoacalculator.areacircle(25)
stoacalculator.areatriangle(25,10,30)
stoacalculator.areasquare(50,10)
stoacalculator.arearectangle(25,10)

# Basic Statistics
stoacalculator.mean(list)
stoacalculator.mode(list)
stoacalculator.median(list)

# Plotting
import numpy as np
# We recommend to always use 100 linearly spaced numbers
x = np.linspace(-5, 5, 100)
# For trigonometry we recommend to use this configuration
x = np.linspace(-np.pi,np.pi,100)
# Example of formulas
linearformula = 2*x
quadraticformula = 1*x+x**2
cubicformula = 6*x+x**3
trigonometricformula = np.sin(x)
exponentialformula = np.exp(x)
# Usage of formulas
stoacalculator.linearplot(x, linearformula)
stoacalculator.quadraticplot(x, quadraticformula)
stoacalculator.cubicplot(x, cubicformula)
stoacalculator.trigonometricplot(x, trigonometricformula)
stoacalculator.exponentialplot(x, exponentialformula)
stoacalculator.biplot(x, trigonometricformula, exponentialformula)

#Derivatives & Integrals
from sympy import *
import numpy as np
# We have to make a constant a symbol
x = Symbol('x')
# Now the usage of this module
stoacalculator.derivatives(sin(x)+exp(x)*log(x))
stoacalculator.integrals(sin(x)+exp(x)*log(x))

For more examples and usage, please refer to the Wiki.

Development setup

You'll only need for now the matlibplot, numpy, sympy, math and statistic modules from python, this program already import all those modules. So you won't need to import them in your code.

pip install matplotlib
pip install numpy
pip install sympy

Release History

• 0.1.1 (13/08/21)
  • Eleventh Release Performance improvements & bug fixes
• 0.1.0 (13/08/21)
  • Tenth Release (Derivatives & Integrals)
• 0.0.9 (13/08/21)
  • Ninth Release (Plotting Calculator from Linear to Exponential Equations)
• 0.0.8 (13/08/21)
  • Eighth Release Performance improvements & bug fixes
• 0.0.7 (13/08/21)
  • Seventh Release Performance improvements & bug fixes
• 0.0.6 (13/08/21)
  • Sixth Release (Basic Statistics (Mean, Mode, Median))
• 0.0.5 (13/08/21)
  • Fifth Release (Basic Geometry (Area of basic shapes))
• 0.0.4 (13/08/21)
  • Fourth Release (Trigonometric Functions)
• 0.0.3 (12/08/21)
  • Third Release (Square Root)
• 0.0.2 (27/03/21)
  • Second Release (Powers/Exponents)
• 0.0.1 (27/03/21)
  • First Release (Addition, Substraction, Multiplication, Division)

Meta

Jorge Eldis ~ @jorgeeldis ~ [e-mail]

Distributed under the MIT license. See LICENSE for more information.

https://github.com/jorgeeldis/

Contributing

1. Fork it (https://github.com/jorgeeldis/StoaCalculator/fork)
2. Create your feature branch (git checkout -b feature/fooBar)
3. Commit your changes (git commit -am 'Add some fooBar')
4. Push to the branch (git push origin feature/fooBar)
5. Create a new Pull Request