semvec/pypi-packages huggingface dataset:
deepfund-code-assistant 0.0.1
A simple python package for training your Code Assistant LLM.
Keywords: python,deepfund,code,assistant,llm


This package is developed by EnigmaAI for the Deepfund Platform. It provides a simple interface for training your Code Assistant LLM.
First it allows you to scrape GitHub repositories for code based on a search query and vaiours filters for code quality and license.
Second it allows you to train your LLM on the scraped code. This can be highly customized to your needs and the type of code you want to generate.
It allows for the choice of different models from the HuggingFace library and the choice of different Efficent fine-tuning strategies.
pyderivative 1.2
This module destined to calculation of derivatives using numerical methods.
Requires Python: >=3.6
Keywords: numerical derivative

# Derivative Library

This code is a library for calculating derived functions.

## Installation

To install the library, use pip:

    pip install pyderivative==1.2

## Usage

To use the library, import the `Derivative` class from the library:

    from pyderivative.Derivative import Derivative

Then you can create an instance of the `Derivative` class by passing the function you want to differentiate as an argument:

    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.