semvec/pypi-packages huggingface dataset:
http-access 0.1.0
http direct access django app
Requires Python: >=3.6

# http_access

An extension of `eoxserver` that allows direct http access and range requests to access
raster data.

## Install

To add to a django instance, edit the following files:

`settings.py`

```python
INSTALLED_APPS = (
    ...
    'http_access'
)
```

`urls.py`

```python

urlpatterns = [
    ...
    re_path(r'^http/', include('http_access.urls'))
]

```

## Usage

The files can directly be accessed with http range requests with the `Range` header, the
storage name (`STORAGE_NAME`) and the path to the file (`/PATH/TO/FILE`) in the storage.

```shell
curl -i -H "Range: bytes=15-60" http://host.com/http/storage/<STORAGE_NAME>/<PATH/TO/FILE>
```

When the file is not located on a storage, but on a local filesystem, the following request is to be used:

```shell
curl -i -H "Range: bytes=15-60" http://host.com/http/local/<PATH/TO/FILE>
```
ahri 0.0.2
Modules for analayzing the AHRI datasets
Requires Python: >=3.8

## AHRI Python library

The `ahri` Python library contains classes, methods and functions for
working with and analyzing the [Africa Health Research Institute
(AHRI)](https://www.ahri.org/research/#research-department) datasets.
These can read in the AHRI .dta datasets, save them to pickle (.pkl)
files, set and manage arguments for data processing, and calculate
trends in HIV incidence. This library is based on the [AHRI R
library](https://github.com/vando026/ahri), but work is focused on
speeding up the HIV incidence rate calculations.

The wiki help pages serve as a short introduction to the `ahri` library.
These can be found in the links below. The help files are organised as
follows:

-   Getting started, which describes how to install the `ahri` library,
    which AHRI datasets to request and where to put them. It also shows
    how to set the paths to these datasets.
    <https://github.com/vando026/ahri_py/wiki/1-Getting-started>

-   Reading and writing the datasets, which describes the class and
    functions for performing these operations.
    <https://github.com/vando026/ahri_py/wiki/2-DataProc-class-and-methods>

-   Functions to make the HIV incidence datasets, impute the
    seroconversion dates, perform multiple imputation, and calculate
    the annual HIV incidence rates.
    <https://github.com/vando026/ahri/wiki_py/3-HIV-incidence> (still
    under development).


|                                                                                                                                                                                                                                                                        |
|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Disclaimer: This is not an official AHRI site. The `ahri` library is a collaboration between researchers using the AHRI datasets. Decisions made in the code about how to use the data are independent of the views, opinions, and policies of AHRI and its employees. |
hurdle 2.0.0
Scikit hurdle estimator
Requires Python: >=3.8,<4.0


# Hurdle

![tests status](https://github.com/prio-data/cc_backend_lib/actions/workflows/test.yml/badge.svg)

This package contains an implementation of Hurdle Regression, based in part on
[Geoff Ruddocks implementation](https://geoffruddock.com/building-a-hurdle-regression-estimator-in-scikit-learn/)
and Håvard Hegres 2022 adaption of his implementation.

## Usage

```
from hurdle import HurdleEstimator
from sklearn import linear_model

est = HurdleEstimator(linear_model.LogisticRegression(), linear_model.LinearModel())

est.fit(...)
```
pd-alias 0.1
Just import pd
Requires Python: >=2.7, <4
Keywords: pyplot,matplotlib

# pd-alias
No more `import pandas as pd`!
<br/>just `import pd` and that's it.
<br/>This package is just a simple alias.

## Installation 
$`pip install pd-alias`

## Usage
```python
import pd  # this is an alias to "import pandas as pd"
tbl = pd.read_csv(whatever)
```