deciml

pip install deciml

Abbrevations

variable - v
function - f
staticmethod - sm
classmethod - cm
class - s
object class - o

Documentation

Note - The function arguments are explained in the "Docstring" (See in an editor).

Note - The default precision is used if precision is not given. Precison is the number of digits after decimal point, different from total digits (As used in Decimal).

Precision

Note - Explaination of precision

(v) __DecimalPrecision: Variable used for precision, default precision used if precision is not specified.

(f) setpr(__p): Changes the precision

>>> from deciml.deciml import setpr
>>> setpr(18)
'''
   18 - The new precision
'''

(f) getpr(): Get the precision

>>> from deciml.deciml import getpr
>>> precision = getpr()
>>> precision
18

Note - Precision is integer

Constant

Note - Explaination of constant

(v) _Pi: Variable that stores the value of pi
(v) _EulersNumber: Variable that stores the value of e

>>> from deciml.deciml import constant

i. (sm) e(pr): Get value of e (in constant)

>>> value = constant.e(18)
'''
   18 - The precision
'''
>>> value
Decimal('2.718281828459045235')

ii. (sm) pi(pr): Get value of pi (in constant)

>>> value = constant.pi(18)
'''
   18 - The precision
'''
>>> value
Decimal('3.141592653589793238')

Random

Note - Explaination of random

(f) rint(__i, __j, __n, s): Generate random integers

>>> from deciml.deciml import rint
>>> nums = rint(0, 100, 5, 2102)
'''
   0 - Start integer
   100 - End integer
   5 - Number of integers to generate
   2102 - Seed
'''
>>> nums
(38, 89, 64, 13, 59)

(o) rdeciml(__a, __b, __pr): Generate a rdeciml object

>>> from deciml.deciml import rdeciml
>>> robj = rdeciml(0, 20, 18)
'''
   0 - Start number
   20 - End number
   18 - The precision
'''

i. (f) random(__n, __s): Generate random numbers (in rdeciml)

>>> nums = robj.random(4, 2025)
'''
   4 - Number of random numbers to generate
   2025 - The seed
'''
>>> nums
(Decimal('19.972330207834593468'), Decimal('9.763654124294660886'), Decimal('17.954068930830723688'), Decimal('4.279774972623744952'))

ii. (f) cgpr(__pr): Change precision for random numbers (in rdeciml)

>>> robj.cgpr(2)
New precision: 2
'''
   2 - New precision to generate random numbers
'''
>>> robj.random(4, 2025)
(Decimal('11.42'), Decimal('1.69'), Decimal('13.22'), Decimal('17.15'))

Note - The seed returns different values after changing precision.

Decimal Functions

(f) deciml(__a, __pr): Get a Decimal object

Note - Explaination of deciml

>>> from deciml.deciml import deciml
>>> num = deciml('32.0722168131', 7)
'''
   '32.0722168131' - The variable to convert to Decimal
   7 - The precision
'''
>>> num
Decimal('32.0722168')

(f) abs(__a): Get the absolute value

Note - Explaination of absolute

>>> from deciml.deciml import abs
>>> abs_value = abs(-0.526842)
'''
   -0.526842 - The variable to convert to it's absolute value
'''
>>> abs_value
Decimal('0.526842')

(f) deciml_sort(__a, __pr): Get a new sorted list

>>> from deciml.deciml import deciml_sort
>>> sorted_list = deciml_sort([12.525, 2.08, 9.2552, '-4.515117E1'], 4)
'''
   [12.525, 2.08, 9.2552, '-4.515117E1'] - Variable to sort
   4 - The precision for sorted list
'''
>>> sorted_list
[Decimal('-45.1512'), Decimal('2.08'), Decimal('9.2552'), Decimal('12.525')]

Arithmatic Operations

Primitive Operations

(c) algbra: primitive arithmatic operations

>>> from deciml.deciml import algbra

i. (sm) add(*__a, pr): add given numbers

Note - Explaination of add

>>> nums_sum = algbra.add(2.3221, 5.2425, 120.522, pr=3)
'''
   2.3221, 5.2425, 120.522 - Numbers to add
   3 - The precision
'''
>>> nums_sum
Decimal('128.087')

ii. (sm) sub(*__a, pr): subtract given numbers

Note - Explaination of sub

>>> nums_sub = algbra.sub(2.5562, 25.5521, 2.245, pr=3)
'''
   25.5521, 2.245 - Numbers to subtract from 2.5562
   3 - The precision
'''
>>> nums_sub
Decimal('-25.241')

iii. (sm) mul(*__a, pr): multiply given numbers

Note - Explaination of mul

>>> nums_mul = algbra.mul(2.9525, 3.755, 2.3524, pr=3)
'''
   2.9525, 3.755, 2.3524 - Numbers to multiply
   3 - The precision
'''
>>> nums_mul
Decimal('26.080')

iv. (sm) div(__a, __b, __pr): divide given numbers

Note - Explaination of div

>>> num = algbra.div(2.02354, 3.2152, 4)
'''
   2.02354 - Numerator
   3.2152 - Denominator
   4 - The precision
'''
>>> num
Decimal('0.6294')

v. (cm) log(__a, __b, __pr): logarithmic given numbers

Note - Explaination of log

>>> num = algbra.log(2.23541, 3, 4)
'''
   2.23541 - Number
   3 - Base
   4 - The precision
'''
>>> num
Decimal('0.7322')

vi. (cm) pwr(__a, __b, __pr): exponent from given numbers

Note - Explaination of pwr

>>> num = algbra.pwr(2.3214, 2.213, 4)
'''
   2.3214 - Number
   2.213 - Power
   4 - The precision
'''
>>> num
Decimal('6.4477')

Grouped Operations

(c) galgbra: Arithmatic operations using lists

>>> from deciml.deciml import galgbra

i. (sm) add(*__a, pr): Addition with lists of numbers

>>> nums = galgbra.add([2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], [21.3265, 0.23654, 20.3256894], pr=4)
'''
   [2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], [21.3265, 0.23654, 20.3256894] - Lists to add
   4 - The precision
'''
>>> nums
(Decimal('30.8847'), Decimal('88.1372'), Decimal('50.1749'))

ii. (sm) sub(*__a, pr): Subtraction with list of numbers

>>> nums = galgbra.sub([2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], [21.3265, 0.23654, 20.3256894], pr=4)
'''
   [2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], [21.3265, 0.23654, 20.3256894] - Lists to subtract
   4 - The precision
'''
>>> nums
(Decimal('-26.4217'), Decimal('-83.4067'), Decimal('-37.5235'))

iii. (sm) mul(*__a, pr): Multiplication with list of numbers

>>> nums = galgbra.mul([2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], [21.3265, 0.23654, 20.3256894], pr=4)
'''
   [2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], [21.3265, 0.23654, 20.3256894] - Lists to multiply
   4 - The precision
'''
>>> nums
(Decimal('348.6825'), Decimal('47.8556'), Decimal('3024.5107'))

iv. (sm) div(__a, __b, __pr): Division with lists of numbers

>>> nums = galgbra.div([2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], 4)
'''
   [2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235] - Lists to divide
   4 - The precision
'''
>>> nums
(Decimal('0.3046'), Decimal('0.027653'), Decimal('0.2689'))

v. (sm) log(__a, __b, __pr): Logarithm with lists of numbers

>>> nums = galgbra.log([2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], 4)
'''
   [2.23153, 2.36528, 6.32569] - List of numbers
   [7.32669, 85.5354, 23.5235] - List of base
   4 - The precision
'''
>>> nums
(Decimal('0.4031'), Decimal('0.1935'), Decimal('0.5841'))

vi. (sm) pwr(__a, __b, __pr): Exponentiation with lists of numbers

>>> nums = galgbra.pwr([2.23153, 2.36528, 6.32569], [7.32669, 85.5354, 23.5235], 4)
'''
   [2.23153, 2.36528, 6.32569] - Lists of numbers
   [7.32669, 85.5354, 23.5235] - Lists of exponents
   4 - The precision
'''
>>> nums
(Decimal('358.1823'), Decimal('95541990468229107013623363686972.6621'), Decimal('6996193289690917769.8999'))

vii. (sm) addsg(__a, __b, __pr): Addition of a list of numbers with a number

>>> nums = galgbra.addsg(2.02552, [7.32669, 85.5354, 23.5235], 4)
'''
   2.02552 - Number to add
   [7.32669, 85.5354, 23.5235] - List of numbers to add
   4 - 
'''
>>> nums
(Decimal('9.3522'), Decimal('87.5609'), Decimal('25.5490'))

viii. (sm) subsg(__a, __b, __pr): Subtraction of a list of numbers from a number

>>> nums = galgbra.subsg(2.02552, [7.32669, 85.5354, 23.5235], 4)
'''
   2.02552 - Number
   [7.32669, 85.5354, 23.5235] - Numbers to subtract
   4 - The precision
'''
>>> nums
(Decimal('-5.3012'), Decimal('-83.5099'), Decimal('-21.49710'))

ix. (sm) subgs(__a, __b, __pr): Subtraction of number from a list of numbers

>>> nums = galgbra.subgs([7.32669, 85.5354, 23.5235], 2.02552, 4)
'''
   [7.32669, 85.5354, 23.5235] - Numbers
   2.02552 - Number to subtract
   4 - The precision
'''
>>> nums
(Decimal('5.3012'), Decimal('83.5099'), Decimal('21.49710'))

x. (sm) mulsg(__a, __b, __pr): Multiplication of number with a list of numbers

>>> nums = galgbra.mulsg(2.02552, [7.32669, 85.5354, 23.5235], 4)
'''
   2.02552 - Number
   [7.32669, 85.5354, 23.5235] - Numbers to multiply
   4 - The precision
'''
>>> nums
(Decimal('14.8404'), Decimal('173.2537'), Decimal('47.6473'))

xi. (sm) divsg(__a, __b, __pr): Division of number by a list of numbers

>>> nums = galgbra.divsg(2.02552, [7.32669, 85.5354, 23.5235], 4)
'''
   2.02552 - Numerator
   [7.32669, 85.5354, 23.5235] - Denominators
   4 - The precision
'''
>>> nums
(Decimal('0.2765'), Decimal('0.023681'), Decimal('0.086106'))

xii. (sm) divgs(__a, __b, __pr): Division of a list of numbers by number

>>> nums = galgbra.divgs([7.32669, 85.5354, 23.5235], 2.02552, 4)
'''
   [7.32669, 85.5354, 23.5235] - Numerators
   2.02552 - Denominator
   4 - The precision
'''
>>> nums
(Decimal('3.6172'), Decimal('42.2289'), Decimal('11.6136'))

xiii. (sm) logsg(__a, __b, __pr): Logarithm of numbers with a list of bases

>>> nums = galgbra.logsg(2.02552, [7.32669, 85.5354, 23.5235], 4)
'''
   2.02552 - Number
   [7.32669, 85.5354, 23.5235] - Bases of logarithm
   4 - The precision
'''
>>> nums
(Decimal('0.3544'), Decimal('0.1587'), Decimal('0.2235'))

xvi. (sm) loggs(__a, __b, __pr): Logarithm of a list of numbers with base

>>> nums = galgbra.loggs([7.32669, 85.5354, 23.5235], 2.02552, 4)
'''
   [7.32669, 85.5354, 23.5235] - Numbers
   2.02552 - Base of logarithm
   4 - The precision
'''
>>> nums
(Decimal('2.8215'), Decimal('6.3031'), Decimal('4.4742'))

xvii. (sm) pwrsg(__a, __b, __pr): Exponentiate a number by a list of numbers

>>> nums = galgbra.pwrsg(2.02552, [7.32669, 85.5354, 23.5235], 4)
'''
   2.02552 - Number
   [7.32669, 85.5354, 23.5235] - Exponents
   4 - The precision
'''
>>> nums
(Decimal('176.1563'), Decimal('165853714112712692593865989.2344'), Decimal('16248459.7577'))

xviii. (sm) pwrgs(__a, __b, __pr): Exponentiate a list of numbers by number

>>> nums = galgbra.pwrgs([7.32669, 85.5354, 23.5235], 2.02552 , 4)
'''
   [7.32669, 85.5354, 23.5235] - Numbers
   2.02552 - Exponent
   4 - The precision
'''
>>> nums
(Decimal('56.4791'), Decimal('8195.9659'), Decimal('599.7974'))

Trignometric Operations

Primitive Operations

(c) trig: Primitive trignometric operations

>>> from deciml.deciml import trig

i. (sm) sin(__a, __pr): To get the sine of a number

Note - Explaination of sin

>>> num = trig.sin(2.012414, 5)
'''
   2.012414 - Number
   5 - The precision
'''
>>> num
Decimal('0.90406')

ii. (sm) cos(__a, __pr): To get the cosine of a number

Note - Explaination of cos

>>> num = trig.cos(2.012414, 5)
'''
   2.012414 - Number
   5 - The precision
'''
>>> num
Decimal('-0.42740')

iii. (cm) tan(__a, __pr): To get the tan of a number

>>> num = trig.tan(2.012414, 5)
'''
   2.012414 - Number
   5 - The precision
'''
>>> num
Decimal('-2.11525')

iv. (cm) cosec(__a, __pr): To get the cosec of a number

>>> num = trig.cosec(2.012414, 5)
'''
   2.012414 - Number
   5 - The precision
'''
>>> num
Decimal('1.10612')

v. (cm) sec(__a, __pr): To get the sec of a number

>>> num = trig.sec(2.012414, 5)
'''
   2.012414 - Number
   5 - The precision
'''
>>> num
Decimal('-2.33971')

vi. (cm) cot(__a, __pr): To get the cot of a number

>>> num = trig.cot(2.012414, 5)
'''
   2.012414 - Number
   5 - The precision
'''
>>> num
Decimal('-0.47276')

vii. (cm) asin(__a, __pr): To get the sine^-1 of a number

Note - Return upper bound is pi/2 and lower bound is -pi/2.

>>> num = trig.asin(0.241445, 5)
'''
   1.241445 - Number
   5 - The precision
'''
>>> num
Decimal('0.24385')

viii. (cm) acos(__a, __pr): To get the cosine^-1 of a number

Note - Return upper bound is pi and lower bound is 0.

>>> num = trig.acos(0.241445, 5)
'''
   0.241445 - Number
   5 - The precision
'''
>>> num
Decimal('1.32694')

ix. (cm) atan(__a, __pr): To get the tan^-1 of a number

>>> num = trig.atan(7.241445, 5)
'''
   7.241445 - Number
   5 - The precision
'''
>>> num
Decimal('1.43357')

x. (cm) acosec(__a, __pr): To get the cosec^-1 of a number

>>> num = trig.acosec(1.241445, 5)
'''
   0.241445 - Number
   5 - The precision
'''
>>> num
Decimal('0.93654')

xi. (cm) asec(__a, __pr): To get the sec^-1 of a number

>>> num = trig.asec(1.241445, 5)
'''
   1.241445 - Number
   5 - The precision
'''
>>> num
Decimal('0.63426')

xii. (cm) acot(__a, __pr): To get the cot^-1 of a number

>>> num = trig.acot(7.241445, 5)
'''
   7.241445 - Number
   5 - The precision
'''
>>> num
Decimal('0.13723')

Grouped Operations

(c) gtrig: Grouped trignometric operations

>>> from deciml.deciml import gtrig

i. (sm) sine(__a, __pr): To get the sine for a list of numbers

>>> nums = gtrig.sine([0.256745, 0.754455, 0.454845, 0.3874258], 4)
'''
   [0.256745, 0.754455, 0.454845, 0.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.2539'), Decimal('0.6849'), Decimal('0.4393'), Decimal('0.3778'))

ii. (sm) cosine(__a, __pr): To get the cosine for a list of numbers

>>> nums = gtrig.cosine([0.256745, 0.754455, 0.454845, 0.3874258], 4)
'''
   [0.256745, 0.754455, 0.454845, 0.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.9672'), Decimal('0.7286'), Decimal('0.8983'), Decimal('0.9259'))

iii. (sm) tan(__a, __pr): To get the tan for a list of numbers

>>> nums = gtrig.tan([6.256745, 8.754455, 9.454845, 13.3874258], 4)
'''
   [6.256745, 8.754455, 9.454845, 13.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('-0.026446'), Decimal('-0.7928'), Decimal('0.030077'), Decimal('1.07310'))

iv. (sm) cosec(__a, __pr): To get the cosec for a list of numbers

>>> nums = gtrig.cosec([6.256745, 8.754455, 9.454845, 13.3874258], 4)
'''
   [6.256745, 8.754455, 9.454845, 13.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('-37.8254'), Decimal('1.6097'), Decimal('-33.2640'), Decimal('1.3664'))

v. (sm) sec(__a, __pr): To get the sec for a list of numbers

>>> nums = gtrig.sec([6.256745, 8.754455, 9.454845, 13.3874258], 4)
'''
   [6.256745, 8.754455, 9.454845, 13.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('1.0003'), Decimal('-1.2761'), Decimal('-1.0005'), Decimal('1.4675'))

vi. (sm) cot(__a, __pr): To get the cot for a list of numbers

>>> nums = gtrig.cot([6.256745, 8.754455, 9.454845, 13.3874258], 4)
'''
   [6.256745, 8.754455, 9.454845, 13.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('-37.8122'), Decimal('-1.2614'), Decimal('33.24810'), Decimal('0.9311'))

vii. (sm) asine(__a, __pr): To get the sine^-1 for a list of numbers

>>> nums = gtrig.asine([0.256745, 0.754455, 0.454845, 0.3874258], 4)
'''
   [0.256745, 0.754455, 0.454845, 0.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.2596'), Decimal('0.8548'), Decimal('0.4722'), Decimal('0.3978'))

viii. (sm) acosine(__a, __pr): To get the cosine^-1 for a list of numbers

>>> nums = gtrig.acosine([0.256745, 0.754455, 0.454845, 0.3874258], 4)
'''
   [0.256745, 0.754455, 0.454845, 0.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('1.3111'), Decimal('0.71510'), Decimal('1.0986'), Decimal('1.17210'))

ix. (sm) atan(__a, __pr): To get the tan^-1 for a list of numbers

>>> nums = gtrig.atan([1.256745, 2.754455, 3.454845, 4.3874258], 4)
'''
   [1.256745, 2.754455, 3.454845, 4.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('3.0788'), Decimal('-0.4077'), Decimal('0.3239'), Decimal('2.9682'))

x. (sm) acosec(__a, __pr): To get the cosec^-1 for a list of numbers

>>> nums = gtrig.acosec([1.256745, 2.754455, 3.454845, 4.3874258], 4)
'''
   [1.256745, 2.754455, 3.454845, 4.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.9202'), Decimal('0.3715'), Decimal('0.2937'), Decimal('0.2299'))

xi. (sm) asec(__a, __pr): To get the sec^-1 for a list of numbers

>>> nums = gtrig.asec([1.256745, 2.754455, 3.454845, 4.3874258], 4)
'''
   [1.256745, 2.754455, 3.454845, 4.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.6506'), Decimal('1.1993'), Decimal('1.2771'), Decimal('1.3409'))

xii. (sm) acot(__a, __pr): To get the cot^-1 for a list of numbers

>>> nums = gtrig.acot([1.256745, 2.754455, 3.454845, 4.3874258], 4)
'''
   [1.256745, 2.754455, 3.454845, 4.3874258] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.6721'), Decimal('0.3483'), Decimal('0.2817'), Decimal('0.2241'))

Hyperbolic Operations

Primitive Operations

(c) htrig: Primitive hyperbolic trignometry operations

>>> from deciml.deciml import htrig

i. (sm) sinh(__a, __pr): To get the sinh for a number

>>> num = htrig.sinh(2.5485421, 4)
'''
   2.5485421 - Number
   4 - The precision
'''
>>> num
Decimal('6.3551')

ii. (sm) cosh(__a, __pr): To get the cosh for a number

>>> num = htrig.cosh(2.5485421, 4)
'''
   2.5485421 - Number
   4 - The precision
'''
>>> num
Decimal('6.4333')

iii. (cm) tanh(__a, __pr): To get the tanh for a number

>>> num = htrig.tanh(2.5485421, 4)
'''
   2.5485421 - Number
   4 - The precision
'''
>>> num
Decimal('0.9878')

iv. (cm) cosech(__a, __pr): To get the cosech for a number

>>> num = htrig.cosech(2.5485421, 4)
'''
   2.5485421 - Number
   4 - The precision
'''
>>> num
Decimal('0.1574')

v. (cm) sech(__a, __pr): To get the sech for a number

>>> num = htrig.sech(2.5485421, 4)
'''
   2.5485421 - Number
   4 - The precision
'''
>>> num
Decimal('0.1554')

vi. (cm) coth(__a, __pr): To get the coth for a number

>>> num = htrig.coth(2.5485421, 4)
'''
   2.5485421 - Number
   4 - The precision
'''
>>> num
Decimal('1.0123')

Grouped Operations

(c) ghtrig: Grouped hyperbolic trignometry opeerations

>>> from deciml.deciml import ghtrig

i. (sm) sinh(__a, __pr): To get the sinh for a list of numbers

>>> nums = ghtrig.sinh([1.0251547, 3.5845677, 5.8743648, 6.1115845], 4)
'''
   [1.0251547, 3.5845677, 5.8743648, 6.1115845] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('1.2144'), Decimal('18.0050'), Decimal('177.8979'), Decimal('225.5253'))

ii. (sm) cosh(__a, __pr): To get the cosh for a list of numbers

>>> nums = ghtrig.cosh([1.0251547, 3.5845677, 5.8743648, 6.1115845], 4)
'''
   [1.0251547, 3.5845677, 5.8743648, 6.1115845] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('1.5731'), Decimal('18.0328'), Decimal('177.9007'), Decimal('225.5275'))

iii. (sm) tanh(__a, __pr): To get the tanh for a list of numbers

>>> nums = ghtrig.tanh([1.0251547, 3.5845677, 5.8743648, 6.1115845], 4)
'''
   [1.0251547, 3.5845677, 5.8743648, 6.1115845] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.77110'), Decimal('0.9985'), Decimal('0.99910'), Decimal('0.99910'))

iv. (sm) cosech(__a, __pr): To get the cosech for a list of numbers

>>> nums = ghtrig.cosech([1.0251547, 3.5845677, 5.8743648, 6.1115845], 4)
'''
   [1.0251547, 3.5845677, 5.8743648, 6.1115845] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.8235'), Decimal('0.055540'), Decimal('0.0056212'), Decimal('0.0044341'))

v. (sm) sech(__a, __pr): To get the sech for a list of numbers

>>> nums = ghtrig.sech([1.0251547, 3.5845677, 5.8743648, 6.1115845], 4)
'''
   [1.0251547, 3.5845677, 5.8743648, 6.1115845] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('0.6357'), Decimal('0.055455'), Decimal('0.0056211'), Decimal('0.0044340'))

vi. (sm) coth(__a, __pr): To get the coth for a list of numbers

>>> nums = ghtrig.coth([1.0251547, 3.5845677, 5.8743648, 6.1115845], 4)
'''
   [1.0251547, 3.5845677, 5.8743648, 6.1115845] - List of numbers
   4 - The precision
'''
>>> nums
(Decimal('1.2954'), Decimal('1.0015'), Decimal('1.0000'), Decimal('1.0000'))

Statistics

(c) stat: For statistical calculations

>>> from deciml.deciml import stat

i. (sm) amean(__a, __pr): To get the arithmatic mean of a list of numbers

>>> num = stat.amean([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('3.3578')

ii. (sm) gmean(__a, __pr): To get the geometric mean of a list of numbers

>>> num = stat.gmean([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('2.8756')

iii. (sm) hmean(__a, __pr): To get the harmonic mean of a list of numbers

>>> num = stat.hmean([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('0.4697')

iv. (sm) qmean(__a, __pr):To get the quadratic mean of a list of numbers

>>> num = stat.qmean([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('3.7256')

v. (cm) pvar(__a, __pr): To get the population variance of numbers

>>> num = stat.pvar([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('2.6057')

vi. (cm) svar(__a, __pr): To get the sample variance of numbers

>>> num = stat.svar([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('3.2572')

vii. (cm) pstd_dev(__a, __pr): To get the population standard deviation of numbers

>>> num = stat.pstd_dev([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('1.6142')

viii. (cm) sstd_dev(__a, __pr): To get the sample standard deviation of numbers

>>> num = stat.sstd_dev([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('1.8048')

ix. (sm) median(__a, __pr): To get the median of a list of numbers

>>> num = stat.median([1, 2.352, 3.242814, 4.65247541, 5.5415], 4)
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
Decimal('2.7974')

x. (sm) mode(__a, __pr): To get the mode of a list of numbers

>>> num = stat.mode([1, 2.352, 3.242814, 5.5415, 5.5415, 1, 1, 4.65247541, 5.5415])
'''
   [1, 2.352, 3.242814, 4.65247541, 5.5415] - List of numbers
   4 - The precision
'''
>>> num
{'values': (1, 5.5415), 'mode': 3}

Equation

(c) SolveEq(equations,*variables,ret): Object to store multi-variable equations and get their values

>>> from deciml.deciml import SolveEq
>>> eq = SolveEq({"+": ("a", {"-": ("b", 5)}), "sin": {"*": ("a", "b")}}, "a", "b")
'''
   {"+": ("a", {"-": ("b", 5)}), "sin": {"*": ("a", "b")}} - The equations (a+(b-5) and sin(a*b))
   "a", "b" - The variables
'''

(g) variables: Returns the variables used in the equations

>>> eq.variables
('a', 'b')

(g) equations: Returns the equations as a dictionary

>>> eq.equations
{'+': ('a', {'-': ('b', Decimal('5'))}), 'sin': {'*': ('a', 'b')}}

(f) calculate(pr,ret,**variables): Returns the value or tuple of values for the given variable values

>>> from deciml.deciml import setpr
>>> setpr(3)
>>> eq.calculate(a=10, b=5)
'''
   a=10, b=5 - Values fot the variables
'''
(Decimal('10.0'), Decimal('-0.262'))
>>> eq.calculate(4, a=10, b=5)
(Decimal('10.0'), Decimal('-0.2624'))

Release files for deciml 0.2.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for deciml 0.2.8
File	Size	Uploaded
deciml-0.2.8.tar.gz	19.2 kB	Mar 21, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for deciml 0.2.8
File	Interpreter	ABI	Platform	Reset
deciml-0.2.8-py3-none-any.whl 21.9 kB Mar 21, 2026	Python 3	none	any	Details

Total release size: 41.1 kB

Release files / deciml-0.2.8.tar.gz

Download URL	deciml-0.2.8.tar.gz
Size	19.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`2dfc2230f943d6b13cb160c91448c3ea17b18534dcaafa3794a934f5a0f9606d`
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Uploaded via	`twine/6.2.0 CPython/3.12.1`

Release files / deciml-0.2.8-py3-none-any.whl

Download URL	deciml-0.2.8-py3-none-any.whl
Size	21.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7e02a64f38b78915c99371f131bc5254fad52bf53258758d7308cabc297f38a3`
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Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.1`