semvec/pypi-packages huggingface dataset:
pystonkslib 0.0.5
This is a stonks data pulling library
Requires Python: >=3.6.6

# pystonkslib

Stonks are cool - and if you want to do your own analysis, you have to pull all the data.

## Installation

```bash
pip install pystonkslib
```

```bash
(venv) PS C:\Users\bub\Development\pystonkslib> pslib --help
usage: usage: pslib [-h] [-g] [-c]

optional arguments:
  -h, --help            show this help message and exit
  -g, --get-symbols     Get updated stock symbols.
  -c, --get-chunked-data
                        Get chunked data.

optional arguments:
  -h, --help            show this help message and exit
  -g, --get-symbols     Get updated stock symbols.
  -c, --get-chunked-data
                        Get chunked data.
```
AsyncExclusivePeriods 1.12
Think about such scene, some object has different state or periods, well we call periods.Among these periods, there can't be any two that could be both the present period. The object could be in only one period. For example, a human can only be one period of baby, youth, adult, old man and dead.
Requires Python: >=3.6

# AsyncExclusivePeriods
Think about such scene, some object has different state or periods, well we call periods.Among these periods, there 
can't be any two that could be both the present period. The object could be in only one period. For example, a human can 
only be one period of baby, youth, adult, old man and dead.

So now not only can you get the exact period, but also await inside the period, await outside the period, await time when 
the object enters the period and await time when the object exits the period.

Remember to distribute different periods for one object. 
## This repository has been inherited by https://pypi.org/project/AsyncGear/.
makejxl 0.1.5
This tool will bulk encode image files in given directory to JPEG-XL
Requires Python: >=3.7
Keywords: jpeg,jpeg-xl,transcoder

# makejxl

This tool will bulk encode image files in given directory to [JPEG-XL](https://gitlab.com/wg1/jpeg-xl). It will leave original files intact, creating .jxl file next to each original.

JPEG-XL encoder is still under development, but format is frozen since 2020-12-24 and files encoded today will be readable by later versions of decoders.

## Supported input file formats:

 * .jpeg/.jpg (lossless and reversible)
 * .exr
 * .gif
 * .pfm
 * .pgm/.ppm
 * .pgx
 * .png

Supports Windows, Linux, MacOS and probably other OSes.

## Linux

```sh
pip install makejxl
makejxl --recursive /home/username/myphotos
```

You will need cjxl in path. You can get it by running build_cjxl.sh as root

## Windows

You can download and use it as single Windows binary, see [Releases](https://github.com/varnav/makejxl/releases/)

Unfortunately antiviruses [don't like packed Python executables](https://github.com/pyinstaller/pyinstaller/issues?q=is%3Aissue+virus), so expect false positives from them if you go this way. Best way is pip.

You will need [cjxl](https://gitlab.com/wg1/jpeg-xl/-/blob/master/doc/developing_in_windows.md) in path. It's best to build it using [this tool](https://github.com/m-ab-s/media-autobuild_suite) and copy to `%USERPROFILE%\AppData\Local\Microsoft\WindowsApps`

```cmd
./makejxl.exe "c:\\Users\\username\\Pictures\\My Vacation"
```

Remember, you need double slashes in Windows.

## Alternatives

```sh
apt install imagemagick parallel
find /path/to/images -type f -iregex '.*\(gif\|jpe?g\|png\)$' | parallel convert {} {.}.jxl
```

## See also
* [makejxl](https://github.com/varnav/makejxl/)
* [filmcompress](https://github.com/varnav/filmcompress/)

## TODO

* Decoder mode
pd-django-contrib 0.1.0a0
This package is designed to handle and contain all the helpers that used at Django projects at PandaDoc.
Requires Python: >=3.8,<4.0

# PandaDoc Django contrib

This package is designed to handle and contain all the helpers that used at Django projects at PandaDoc. Keep in mind
that we should only put the code in this package that can be easily packaged as standard Django or python package. The
code inside this package should use only company-wide packages (like Django, DRF, pydantic and etc.)
combined with pure Python but no code that currently used in application in this repository.

## How to develop

    pip install poetry==1.1.4
    poetry install
    pre-commit install
skmds 0.0.6
skmds is a python package for querying the Government of Saskatchewan's Municipal Directory System
Requires Python: >=3.6

# skmds

skmds is a python package for querying the Government of Saskatchewan's Municipal Directory System.

**NOTE:** This project is not affiliated with the Government of Saskatchewan in any capacity. 


### Usage
Basic Example:

```python 3
import skmds

results = skmds.query('saskatoon')
city = results[0]

print(city)
print(city.website)
print(city.office_address)
```

Result:
```
city of Saskatoon
http://www.saskatoon.ca/Pages/default.aspx
222 - 3rd Ave. N. SASKATOON SK  S7K 0J5
```

### Installation
The skmds package can be installed using pip:

```bash
pip install skmds
```

### Links
- [skmds package](https://pypi.org/project/skmds/) on PyPI