semvec/pypi-packages huggingface dataset:
fancyfont 1.0
A package for converting ASCII text into fancy fonts
License: MIT
Requires Python: >=3.5

#Usage
The Python-package FancyFont allows you to convert ASCII symbols into ASCII fonts.
You can also import your own fonts. (Look at 'Use own fonts' below)

#Install From pip
```sh
pip install fancyfont
```
or
```sh
python3 -m pip install fancyfont
```

#Download from PyPi
1. Go to https://pypi.org/project/fancyfont/#files and the file you prefer. (*.tar.gz or *.whl)
2. After your download has finished, extract the archive.

#Import in Python
If you have installed FancyFont sucessfully, you can import it in Python:
```python
from fancyfont import fancyfont
fancyfont(text='FancyFont', font='regular')
```
Ouput:
```
#####                            ####                                                             
#       ##   #    #  ### #     # #      ####  #    # #######                              
#      #  #  ##   # #     #   #  #     #    # ##   #    #                         
##### #    # # #  # #      # #   ####  #    # # #  #    #                            
#     ###### #  # # #       #    #     #    # #  # #    #                        
#     #    # #   ## #       #    #     #    # #   ##    #                         
#     #    # #    #  ###    #    #      ####  #    #    #                            
```

# Working at...
...More fonts
...Auto fill spaces in fonts
...More tools
...And more!
FancyFont 1.0
A package for converting ASCII text into fancy fonts
License: MIT
Requires Python: >=3.5

#Usage
The Python-package FancyFont allows you to convert ASCII symbols into ASCII fonts.
You can also import your own fonts. (Look at 'Use own fonts' below)

#Install From pip
```sh
pip install fancyfont
```
or
```sh
python3 -m pip install fancyfont
```

#Download from PyPi
1. Go to https://pypi.org/project/fancyfont/#files and the file you prefer. (*.tar.gz or *.whl)
2. After your download has finished, extract the archive.

#Import in Python
If you have installed FancyFont sucessfully, you can import it in Python:
```python
from fancyfont import fancyfont
fancyfont(text='FancyFont', font='regular')
```
Ouput:
```
#####                            ####                                                             
#       ##   #    #  ### #     # #      ####  #    # #######                              
#      #  #  ##   # #     #   #  #     #    # ##   #    #                         
##### #    # # #  # #      # #   ####  #    # # #  #    #                            
#     ###### #  # # #       #    #     #    # #  # #    #                        
#     #    # #   ## #       #    #     #    # #   ##    #                         
#     #    # #    #  ###    #    #      ####  #    #    #                            
```

# Working at...
...More fonts
...Auto fill spaces in fonts
...More tools
...And more!
yolox 0.0.0
yolox object detector
License: MIT
Requires Python: >=3.7
Keywords: machine-learning,deep-learning,ml,pytorch,YOLO,object-detection,vision,YOLOv3,YOLOv4,YOLOv5,YOLOX

<div align="center">
<h1>
  yolox
</h1>

<h4>
  pip installable version of yolox object detector
</h4>
  
Coming soon..
  
</div>
xontrib-linuxbrew 0.1.1
Add Homebrew's shell environment to xonsh on Linux
License: MIT
Requires Python: >=3.6

<p align="center">
Add Homebrew's shell environment to <a href="https://xon.sh">xonsh shell</a> on Linux
<br/>
(alternative to <a href="https://docs.brew.sh/Homebrew-on-Linux">shellenv</a>).
</p>

<p align="center">  
If you like the idea click ⭐ on the repo to accelerate adding <a href="https://github.com/Homebrew/brew/pull/10757#issuecomment-791381047">xonsh support to Homebrew</a>.
</p>


## Introduction

__Homebrew__ has a `shellenv` command to add __its environment__ to your shell: it adds a few
environment variables (`HOMEBREW_` `PREFIX`/`CELLAR`/`REPOSITORY`) and updates a few paths (`MAN`/`INFO`/ `PATH`).

This xontrib automatically translates the default __bash__ export statements of `shellenv` into __xonsh__.

## Installation

To install use pip:

```bash
xpip install xontrib-linuxbrew
# or: xpip install -U git+https://github.com/eugenesvk/xontrib-linuxbrew
```

## Usage

Add this to your xonsh run control file (`~/.xonshrc` or `~/.config/rc.xsh`):
```bash
xontrib load linuxbrew
```

Set the level of verbosity via `$XONTRIB_LINUXBREW_LOGLEVEL` to __0–3__:

  - 0 print nothing (fail silently)
  - 1 (default) print errors (e.g. can't find brew at default locations)
  - 2 print warnings (e.g parsing errors)
  - 3 print more verbose messages

## Known issues

Only default installation paths (`~/.linuxbrew` and `/home/linuxbrew/.linuxbrew`) are supported.

## Credits

This package was created with [xontrib cookiecutter template](https://github.com/xonsh/xontrib-cookiecutter).
statswalespy 0.1.2
A Python package for downloading data and metadata from the StatsWales API.
License: MIT
Keywords: Wales,statswales,Welsh

# statswalespy
> Easily download data and metadata from the StatsWales API

![PyPI](https://img.shields.io/pypi/v/statswalespy)

statswalespy is a Python package for interacting with the [StatsWales](https://statswales.gov.wales/Catalogue) API,
including functions for downloading datasets, downloading metadata, and searching for datasets using key words.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install statswalespy.

```bash
pip install statswalespy
```

## How to download data and metadata

The code below extracts data about [aircraft movement at Cardiff
airport](https://statswales.gov.wales/Catalogue/Transport/Air/aircraftmovementsatcardiffairport-by-movementtype-year)
and the associated metadata.

``` python
from statswalespy.download_data import statswales_get_dataset, statswales_get_metadata

metadata = statswales_get_metadata("tran0003")

data = statswales_get_dataset("tran0003")

# Print out the data
print(str(data))
```

## How to search for datasets

You can also search for datasets based on key terms. For example, data on farming or agriculture can be searched using this code:

``` python
from statswalespy.search import statswales_search

farming_datasets = statswales_search(["farm*", "agri*"])

# Print out results
print(str(farming_datasets))
```

## Contributing
Any suggestions for changes or extra work to make the package better are welcome.