semvec/pypi-packages huggingface dataset:
blacksheep-shuttle 0.3.4
BlackSheep, but with ShuttleAI's customizations.
Requires Python: >=3.7
Keywords: blacksheep, web framework, asyncio, shuttleai

[![Build](https://github.com/Neoteroi/BlackSheep/workflows/Main/badge.svg)](https://github.com/Neoteroi/BlackSheep/actions)
[![pypi](https://img.shields.io/pypi/v/BlackSheep-Shuttle.svg?color=blue)](https://pypi.org/project/BlackSheep-Shuttle/)
[![versions](https://img.shields.io/pypi/pyversions/blacksheep-shuttle.svg)](https://github.com/herumes/blacksheep-shuttle)
[![codecov](https://codecov.io/gh/Neoteroi/BlackSheep/branch/master/graph/badge.svg?token=Nzi29L0Eg1)](https://codecov.io/gh/Neoteroi/BlackSheep)
[![license](https://img.shields.io/github/license/Neoteroi/blacksheep.svg)](https://github.com/Neoteroi/blacksheep/blob/main/LICENSE) [![Join the chat at https://gitter.im/Neoteroi/BlackSheep](https://badges.gitter.im/Neoteroi/BlackSheep.svg)](https://gitter.im/Neoteroi/BlackSheep?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [![documentation](https://img.shields.io/badge/📖-docs-purple)](https://www.neoteroi.dev/blacksheep/)

# BlackSheep-Shuttle
BlackSheep-Shuttle is a fork of [BlackSheep](https://github.com/Neoteroi/BlackSheep) with numerous fixes, improvements, and new features.

Credits to [RobertoPrevato](https://github.com/robertoprevato) for creating the original masterpiece.

```ShellSession
pip install -U blacksheep-shuttle
```

## Building
Helpful commands for building and testing the project yourself.
*Using mingw32k-make for Windows*
### Make
```ShellSession
mingw32-make compile
```
### Build
```ShellSession
mingw32-make build
```
### Prepare for publishing
```ShellSession
mingw32-make prepforbuild
```
### Create dist
```ShellSession
python -m build
```
### Clean (Optional)
```ShellSession
mingw32-make clean
```
### Uploading to PyPi
```ShellSession
twine upload -r pypi dist/*
```
drl-microgrid-ems 0.1.1
Fork of  https://github.com/tahanakabi/DRL-for-microgrid-energy-management.git
Requires Python: >=3.8

Fork of https://github.com/tahanakabi/DRL-for-microgrid-energy-management.git

https://pypi.org/project/drl-microgrid-ems/

https://code.visualstudio.com/docs/python/environments

py -m build
py -m twine upload dist/*



  "tensorflow==2.5.0",
  "keras==2.4.3",
  "pandas==1.1.0"
epdx 1.2.2
EPDx is a library for parsing EPD files into a common exchange format.
Requires Python: >=3.10

# EPDx

EPDx is a library for parsing EPD files into a common exchange format.

The library is written in Rust, to allow for cross-language package distribution.
Currently, we support Javascript/Typescript, Python and Rust.

EPDx is part of a larger project of making life cycle assessments more accessible and transparent to building
professionals.

Read more about our [overall goal](https://github.com/ocni-dtu/life-cycle-formats)

## ILCD+EPD

The ILCD+EPD format is a digital format for EPDs.
Provided in either XML or JSON.

Initially EPDs were provided as PDFs.
That is not very convenient for automation processes and requires large amounts of manual work to process.

The ILCD (International Life Cycle Data System) is a data format developed by the European Commission to give LCA
practitioners a common digital format for life cycle assessments.
In order to integrate EPD specific information (e.g. scenarios, modules, type of data), extensions were added to the
ILCD format. The resulting format got named ILCD+EPD format.

The ECO Platform and Ökobau uses the format to store and expose EPDs through
the [soda4LCA](https://bitbucket.org/okusche/soda4lca/src/7.x-branch/) API.
The API makes it possible for everyone to search and download tons of EPDs to be used free of charge.

The ILCD+EPD format is a node based format. It means that each EPD consists of several layers of nodes that contain
different information.
The first node contains a summary of the EPD, with references to the nodes.
By drilling down the tree of nodes, you have access to more and more specific information, such as EPD manufacturer,
functional unit(s), etc.

Read more about ILCD at the [European Platform on Life Cycle Assessment](https://eplca.jrc.ec.europa.eu/)


# Documentation

EPDx can have available packages for Javascript, Python and Rust.

To get started head over to our [documentation](https://epdx.kongsgaard.eu).

## Install NPM Package

```bash
npm install epdx
```

## Install Python Package

```bash
pip install epdx
```

## Install Rust Crate

```bash
cargo add epdx
```

# Contribute

## Install Rust
Head over to Rust's installation [page](https://www.rust-lang.org/tools/install)

## Run Tests

```bash
cargo test --package epdx --target x86_64-unknown-linux-gnu
```

## Run Python Tests

```bash
maturin develop --extras tests --target x86_64-unknown-linux-gnu
source .venv/bin/activate .
cd packages/python
pytest tests/
```

## Build Documentation

```bash
maturin develop --extras doc,codegen --target x86_64-unknown-linux-gnu
mkdocs develop
```

## Build JS Package

```bash
wasm-pack build --features jsbindings
mv pkg/epdx* packages/javascript/src
```
transfernet 0.4.2
Deep learning transfer learning.
Requires Python: >=3.10

# transfernet

Code to help transfer learned weights from neural networks to other datasets. The GitHub repo can be found in [here](https://github.com/leschultz/transfernet.git).

## Coding Style

Python scripts follow PEP 8 guidelines. A usefull tool to use to check a coding style is pycodestyle.

```
pycodestyle <script>
```

## Authors

### Graduate Students
* **Lane Schultz** - *Main Contributer* - [leschultz](https://github.com/leschultz)

## Acknowledgments

* The [Computational Materials Group (CMG)](https://matmodel.engr.wisc.edu/) at the University of Wisconsin - Madison
* Professor Dane Morgan [ddmorgan](https://github.com/ddmorgan) and Dr. Ryan Jacobs [rjacobs914](https://github.com/rjacobs914) for computational material science guidence