Skip to main content

BigNumber

BigNumber is an arbitrary precision number library which supports numbers with any values and many operations with them.

Installation

pip install BigNumber

Usage

To use this library, install it using the command shown in "Installation" section. Then, read the instructions below regarding how to use operations with BigNumber.

Addition

BigNumber can be added with any numbers using "+" operator.

Subtraction

BigNumber can be subtracted by any numbers using "-" operator.

Multiplication

BigNumber can be multiplied with any numbers using "*" operator.

Division

BigNumber can be divided by any numbers using "+" operator.

Modulo

The "%" sign can be used together with BigNumber for modulo operations.

Integer Division

The "//" sign can be used together with BigNumber for modulo operations.

Exponents

BigNumber can be raised to the power of any other numbers using "**" operator.

Conversion to int

int(BigNumber("5.3")) # 5

Conversion to float

float(BigNumber("5.3")) # 5.0

Conversion to mpf

to_mpf(BigNumber("5.0)) # 5.0

Trigonometric Functions

sin, cos, tan, cosec, sec, and cot are usable trigonometric functions. They are called using the code with the format {trigonometric function name}(a big number object). For example, sin(BigNumber("0.5")) to get the value of sin(0.5).

Hyperbolic Functions

sinh, cosh, tanh, cosech, sech, and coth are usable hyperbolic functions. They are called using the code with the format {hyperbolic function name}(a big number object). For example, sinh(BigNumber("0.5")) to get the value of sinh(0.5).

Factorial

The function factorial(big_num: BigNumber) will quickly get the factorial of any number.

Logarithms

The logarithm of any number using any base can be quickly achieved by using the function log_base(big_num: BigNumber, base: BigNumber or mpf or float or int) where big_num is a BigNumber object and base is the base used for the logarithm operation.

Square Root

sqrt(big_num: BigNumber) gets the square root of any number.

Cube Root

cbrt(big_num: BigNumber) gets the cube root of any number.

Square

BigNumber.squared() gets the value of a BigNumber squared.

Cube

BigNumber.cubed() gets the value of a BigNumber cubed.

Running Tests

The script "BigNumber_versus_mpf.py" (https://github.com/GlobalCreativeCommunityFounder/BigNumber/blob/main/BigNumber/BigNumber_versus_mpf.py) is used to run tests of the performance of BigNumber library against mpf library.

Sample Test Results

An example of test results for BigNumber versus mpf is in the file "BigNumber_versus_mpf.txt" (https://github.com/GlobalCreativeCommunityFounder/BigNumber/blob/main/BigNumber/BigNumber_versus_mpf.txt).

Metadata

Release files for BigNumber 1

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

Source distribution (sdist)

Source distribution for BigNumber 1
File Size Uploaded
BigNumber-1.tar.gz 4.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for BigNumber 1
File Interpreter ABI Platform
BigNumber-1-py3-none-any.whl Python 3 none any Details

Total release size: 9.6 kB

Release files / BigNumber-1.tar.gz

Download URL BigNumber-1.tar.gz
Size 4.7 kB
Tags Source
SHA-256 checksum
How to use checksums
6102bce1260255dc15e44f53a8744375c1420987c89768ff6627b7a889ffab23
BLAKE2b-256 checksum
How to use checksums
8ab7c5d1ca79cbeaac1b49ccd7b863f251045c7df33cf83c3902f7cbc8f3bb33
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.7

Release files / BigNumber-1-py3-none-any.whl

Download URL BigNumber-1-py3-none-any.whl
Size 5.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
33c016cda0f8189e1e115504b5d7c952cf3b8e13449614bef5c5aa7a60ca6b60
BLAKE2b-256 checksum
How to use checksums
a267605712b4650a4a295cbc2ca0aa697973a0bc30a40f28372e76934895e394
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.7

Release history Release notifications | RSS feed

This release

1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page