semvec/pypi-packages huggingface dataset:
linkaudit 0.9.8
Checks broken URLs in markdown files.
Requires Python: >=3.11

# Link Audit

[![PythonCodeAudit Badge](https://img.shields.io/badge/Python%20Code%20Audit-Security%20Verified-FF0000?style=flat-square)](https://github.com/nocomplexity/codeaudit)

[![PyPI - Version](https://img.shields.io/pypi/v/linkaudit.svg)](https://pypi.org/project/linkaudit)
[![Documentation](https://img.shields.io/badge/Link%20Audit%20Handbook-Available-blue)](https://nocomplexity.com/documents/linkaudit)
[![License](https://img.shields.io/badge/License-GPLv3-FFD700)](https://github.com/nocomplexity/linkaudit/blob/main/LICENSE.md)

LinkAudit – Superfast, simple, and deadly accurate to find broken links in markdown.

This `linkaudit` tool has the following features:

* Shows all external links (aka URLs) for a Shpinx or JupyterBook. Output is saved.
* Validate status of all discoverd external links for a Sphinx or Jupyterbook document. Output is saved.


## Installation

```
pip install linkaudit

```


## Usage

Linkaudit is a CLI tool.

To get help just run `linkaudit` without arguments.
```shell 
Linkaudit

Command 	: showlinks
Shows all URLs from MyST Markdown files in a directory and generates an HTML report.

Command 	: checklinks
Print txt tables of URLs checks of JB Book

Command 	: version
Prints the module version. Use [-v] [--v] [-version] or [--version].

Use linkaudit [COMMAND] --help for detailed help per command.
```

To use it on a  documentation created for `Jupyterbook` or `Sphinx`:

To show links, do:
```
linkaudit showlinks [DIRECTORY_TO_SPHINX or JUPYERBOOK files]
```

To check links, do:
```
linkaudit checklinks [DIRECTORY_TO_SPHINX or JUPYERBOOK files]
```

## Documentation
Full documentation is available at [https://nocomplexity.com/documents/linkaudit](https://nocomplexity.com/documents/linkaudit)

## License

This tool is licensed  GPL-3.0-or-later.
pymathnn 0.2.9
Python module for mathematical operations, matrix manipulations and neural network utilities using NumPy
Requires Python: >=3.7
Keywords: math numpy matrix neural network ai deep learning algebra cuda cupy transformer machine

## Installation

```
pip install pymathnn
```

## Utilization

Simple examples of user:

```
from pymathnn import Matrix

m1 = Matrix((3, 3), init='random')
m2 = Matrix((3, 3), init='uniform')

# Sum matrix
m3 = m1.add(m2)

# Product With Scalar
m4 = m1.multiply(2.5)

# Matrix Traspose
mt = m1.transpose()

# Statistics
print(m1.mean())
print(m1.norm())
m1.summary()

# Activation
m1 = Matrix((4,4))
print(m1)
m1.activation('relu')
print(m1)
```
shimexpy 0.1.0
Spatial Harmonic Imaging and mesh-based X-ray multicontrast imaging in Python
Requires Python: >=3.7

# Shimexpy

Shimexpy is a Python package for **Spatial Harmonic Imaging (SHI)** and **mesh-based X-ray multicontrast imaging**. It provides tools for Fourier-domain harmonic analysis and the reconstruction of absorption, dark-field (scattering), and differential phase contrast from X-ray images.

---

## Installation

```bash
pip install shimexpy[all]
```

Individual components:

```bash
pip install shimexpy[core]
pip install shimexpy[gui]
pip install shimexpy[cli]
```

GPU support (optional):

```bash
pip install shimexpy-core[cuda12x]
pip install shimexpy-core[cuda11x]
```

---

## Usage

```python
import shimexpy
```

```bash
shimexpy
```

```bash
shi
```

---

## License

Apache License 2.0
packaging 26.0
Core utilities for Python packages
Requires Python: >=3.8

packaging
=========

.. start-intro

Reusable core utilities for various Python Packaging
`interoperability specifications <https://packaging.python.org/specifications/>`_.

This library provides utilities that implement the interoperability
specifications which have clearly one correct behaviour (eg: :pep:`440`)
or benefit greatly from having a single shared implementation (eg: :pep:`425`).

.. end-intro

The ``packaging`` project includes the following: version handling, specifiers,
markers, requirements, tags, metadata, lockfiles, utilities.

Documentation
-------------

The `documentation`_ provides information and the API for the following:

- Version Handling
- Specifiers
- Markers
- Requirements
- Tags
- Metadata
- Lockfiles
- Utilities

Installation
------------

Use ``pip`` to install these utilities::

    pip install packaging

The ``packaging`` library uses calendar-based versioning (``YY.N``).

Discussion
----------

If you run into bugs, you can file them in our `issue tracker`_.

You can also join ``#pypa`` on Freenode to ask questions or get involved.


.. _`documentation`: https://packaging.pypa.io/
.. _`issue tracker`: https://github.com/pypa/packaging/issues


Code of Conduct
---------------

Everyone interacting in the packaging project's codebases, issue trackers, chat
rooms, and mailing lists is expected to follow the `PSF Code of Conduct`_.

.. _PSF Code of Conduct: https://github.com/pypa/.github/blob/main/CODE_OF_CONDUCT.md

Contributing
------------

The ``CONTRIBUTING.rst`` file outlines how to contribute to this project as
well as how to report a potential security issue. The documentation for this
project also covers information about `project development`_ and `security`_.

.. _`project development`: https://packaging.pypa.io/en/latest/development/
.. _`security`: https://packaging.pypa.io/en/latest/security/

Project History
---------------

Please review the ``CHANGELOG.rst`` file or the `Changelog documentation`_ for
recent changes and project history.

.. _`Changelog documentation`: https://packaging.pypa.io/en/latest/changelog/
wik 2.0.1
wik is used to get information about anything on the shell using Wikipedia
Requires Python: >=3.0

# WIK
WIK is a command-line tool to view Wikipedia pages from your terminal.
It also lets you search Wikipedia articles with a single query.

<div align="center">

  ### \[[Installation](#installation)] \[[Options](#options)] \[[Examples](#example)] \[[Contribution](#contribution)]

</div>

## Requirements
- Python3
- beautifulsoup4

## Installation

### Linux/macOS

#### From source
```bash
python3 -m pip install beautifulsoup4 flit_core
git clone https://github.com/yashsinghcodes/wik.git
cd wik
python3 -m pip install .
```

#### PyPI
```bash
python3 -m pip install wik
```

### Windows

#### From source
```bash
python -m pip install beautifulsoup4 flit_core
git clone https://github.com/yashsinghcodes/wik.git
cd wik
python -m pip install .
```
>Note: Windows users should add Python to their environment variables.

#### PyPI
```bash
python -m pip install wik
```
or
```bash
pip install wik
```

## Options
Using WIK is simple.

```
usage: wik [-h] [-s SEARCH] [-i INFO] [-q QUICK] [-l LANG] [-x] [--no-cache]
           [--clear-cache]

optional arguments:
  -h, --help            show this help message and exit
  -s SEARCH, --search SEARCH
                        Search any topic
  -i INFO, --info INFO  Get info on any topic
  -q QUICK, --quick QUICK
                        Get the summary on any topic
  -l LANG, --lang LANG  Get info in your native language (default english)
  -x, --rand            Get random Wikipedia article
  --no-cache            Disable on-disk cache for this run
  --clear-cache         Clear cached pages and exit
```

## Example

```bash
$ wik -i Linux
```
![example output](docs/img/carbon.png)

### Cache
WIK stores pages on disk so repeated queries are instant and can work offline. You can
disable caching per run or clear the cache:

```
wik --no-cache -i Linux
wik --clear-cache
```


## Contribution
You can contribute by opening an issue or making a pull request. If you have ideas or
feedback, you can [contact me](mailto:yash9vardhan@gmail.com).