Skip to main content

This module destined to calculation of derivatives using numerical methods

Project description

Derivative Library

This code is a library for calculating derived functions.

Installation

To install the library, use pip:

pip install derivative_lib

Usage

To use the library, import the Derivative class from the library:

from derivative_lib import Derivative

Then you can create an instance of the Derivative class by passing the function you want to differentiate as an argument:

python def func(x):
return x**2
derivative = Derivative(func)

Methods

tailor_app

Calculates the derivative of the function at the point x0 using the Taylor method.

Usage example:

result = derivative.tailor_app(2)

polinom_app

Calculates the derivative of the function at the point x0 using the polynomial method.

Usage example:

result = derivative.polinom_app(2)

second_derivative

Calculates the second derivative of the function at the point x0.

Usage example:

result = derivative.second_derivative(2)

threepoint_pattern(x0, second_deriv=False)

Calculates the first or second derivative of a function at the point x0 using the three-point method.

Usage example:

result = derivative.threepoint_pattern(2, second_deriv=True)

Exception handling

If the function was set using a grid, the methods tailor_app, polinom_app and threepoint_pattern will throw an exception. If an error occurred while using the function, the methods will also throw an exception.

License

This library is available under the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

derivative_lib-0.2.tar.gz (2.4 kB view details)

Uploaded Source

Built Distribution

derivative_lib-0.2-py3-none-any.whl (2.7 kB view details)

Uploaded Python 3

File details

Details for the file derivative_lib-0.2.tar.gz.

File metadata

  • Download URL: derivative_lib-0.2.tar.gz
  • Upload date:
  • Size: 2.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.2

File hashes

Hashes for derivative_lib-0.2.tar.gz
Algorithm Hash digest
SHA256 4ffb2aa2f0190e86dabe35d1fbfcc1c36d1e035aa69102c2383ff63f244bf1fe
MD5 5840cbbd78f9b38390cfe2a766390bba
BLAKE2b-256 0814aadc80ff9f8b764ea77c30ffb2d21f9988bafb7a32ae78b823cc556b7110

See more details on using hashes here.

File details

Details for the file derivative_lib-0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for derivative_lib-0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 47a43052efe3a92559da1a6321c5186b1ff66897620bdc10c4c5ea7e6e55be3d
MD5 f38b6ebaee36133eabbcec0f5ec9eaef
BLAKE2b-256 96d18dce9926721527f32e9400239f478b886b1522d305a939a5df95d8b26eeb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page