semvec/pypi-packages huggingface dataset:
erasudy 0.1.0b1
A tool for securely erasing data
Requires Python: >=3.10,<4.0

# Erasudy

Erase disks data securely.


## Introduction

Erasudy is a tool for erasing disk data securely.


## Development

### Requirements

Use `poetry install` to get the virtual environments with requirements.

# Create a new release

Use Poetry to create a new release.

To update the version from  and   use the following plugin.

```bash
poetry self add poetry-bumpversion
```

Then create the new release with those steps.

```bash
poetry version <version>
poetry build
poetry publish
```
pydemand 0.0.3
Retrive region-specific demand data
Keywords: python,demand,energy,systems,electricity,series,prediction,estimation,heat


=====
Pydemand
=====

Pydemand is a energy demand estimation Python library.

Right now, it is in an infant state, only retrieving country-scale electricity
demand data estimated for 2020 in `Long term load projection in high resolution for all countries globally`_.

.. _Long term load projection in high resolution for all countries globally: https://www.sciencedirect.com/science/article/abs/pii/S0142061518336196/

!! While these methods are scalable, they do not guarantee accurate results !!
We refer to the linked paper for a discussion of what to consider before using the data.

=====
Installation
=====

The library can be install via ``pip`` from `pypi`

.. code:: shell

    pip install pydemand


=====
What is next?
=====

This package is a work in progress. We plan to

1. Retrieve an electricity demand estimation for any passed geospatial polygon
   based on statistical models, trained on the existing data.
2. Add estimations of heat demand profiles to the package, which are also
   retrievable by polygon.
pulumi-google-cloud-static-website 0.0.3
A component to deploy static websites to Google Cloud
Keywords: pulumi category/cloud kind/component web

# pulumi-google-cloud-static-website

This component makes it easy to deploy a static website to Google Cloud using any of the supported Pulumi programming languages.

## Usage

```typescript
import { Website } from "@pulumi/google-cloud-static-website";

const site = new Website("site", {
    sitePath: "./site",
});

export const { originURL } = site;
```

```yaml
name: my-website
runtime: yaml
description: A static website built with pulumi-google-cloud-static-website.

resources:
  site:
    type: google-cloud-static-website:index:Website
    properties:
      sitePath: ./site

outputs:
  originURL: ${site.originURL}
```

## Input Properties

This component takes the following inputs.

- sitePath (string) - the root directory containing contents of the built website contents
- withCDN (boolean) - whether to provision a Google Cloud CDN to serve website content
- error404 (string) - the default error page for the website. Defaults to error.html
- index.html (string) - the default document for the site. Defaults to index.html
- domain (string) - the domain of the website
- subdomain (string) - The subdomain used to access the static website. If not specified will configure with apex/root domain of the DNS zone specified

## Outputs

- originURL - the direct URL of the website (storage bucket endpoint)
- cdnURL - the CDN URL for the site
- customDomainURL - the custom domain URL where the static website can be accessed


## Notes:

- The SSL certs can take anywhere from 60 - 90 mins after the update has been completed in order to fully provision. Upon first provisioning, there may be a short period of time where the cert is invalid when accessing the website over HTTPS.