semvec/pypi-packages huggingface dataset:
pymeasurement 1.1.4
A Measurement Calculator with Fixed Point Precision, Uncertainties, and Units
Requires Python: >=3.6

# pymeasurement
A Measurement Calculator with Fixed Point Precision, Uncertainties, and Units.

View at [PyPi], [Github], and [Read the Docs].

## Installation
pymeasurement is distributed on [PyPI]. 

```
pip install pymeasurement
```

## Usage and Documentation
Access the [Read the Docs] to learn about usage and documentation for this package.

[pypi]: https://pypi.org/project/pymeasurement/
[github]: https://github.com/Saptak625/pymeasurement
[Read the Docs]: https://pymeasurement.readthedocs.io/en/latest/
render-engine-markdown 2023.12.1
Markdown Parser for Render Engine
Requires Python: >=3.10

# Markdown Parser

This is a parser for the Markdown markup language. This is the default parser for render_engine pages.

[Markdown](https://www.markdownguide.org) is a lightweight markup language with plain text formatting syntax. It is designed so that it can be converted to HTML and many other formats using a tool by the same name.

The underlying parser is [python-markdown2](https://pypi.org/project/markdown2/).

## Parser Options

These are the options that can be pulled from the page:

| Option | Description |
| --- | --- |
| `markdown_extras` | A list of extensions to use. See [python-markdown2](https://pypi.org/project/markdown2/) for a list of extensions. |

## Content Path Type

Provide a suggestion for the type of content that your parser expects.

\<CONTENTPARSER> expects a `path|url` in the content_path field of the Page object.

```python
class MyPage(Page):
    content_path = "~/.my_page.md"
    # or content_path = "https://example.com/my_page.md"
```
derivative-mode 0.5
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 derivative_mode

## Usage

To use the library, import the `Derivative` class from the library:

    from derivative_mode 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.
render-engine-parsers 2023.12.1
Parser System for Render Engine
Requires Python: >=3.10

# Render Engine Parsers

The page parser system used for making content for Render Engine

## Parsers

Parsers are used to parse the content of a page and convert it to HTML. The parser is specified in the page attributes as `Parser`.

The default parser is the `BasePageParser` which processes markdown and passes the content thru as plain text.
derivative-lib 0.2
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 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.