semvec/pypi-packages huggingface dataset:
epicas 0.1.0
An AutoML framework designed for epidemiological forecasting
Requires Python: >=3.7.0
Keywords: AutoML,ARIMA,attention,epidemiology,forecast,infectious,machine learning,TensorFlow

Epicas stands for Epidemiological Forecasting. Epicas is an AutoML framework based on TensorFlow and statsmodels.

For instructions or details about source code, please see at https://github.com/caominhduy/epicas

This package is still under development. Feel free to contact developer at caominhduy@gmail.com if any issue arises.
sttc 0.0.1
A library for statistical calculations.
Keywords: python,calc,statistics,statistic,sttc,stac,statistical library,continuous,discrete,math

English | [Portuguese](README_ptbr.md)

# Statistic

This is a library developed in Python that aims to provide the necessary functions to perform statistical calculations.

> Note: The library is still under development.

### Summary

  - [How to use](#how-to-use)
  - [Architecture](#architecture)
  - [Documentations](#documentations)

## How to use

Go to your terminal, navigate to your project folder and enter the following command:

```
pip install sttc
```

## Architecture

Below is the project folder architecture:

- `/Statistic`
  - `/documentation`
    - `english`
    - `português-brasil`
  - `/img`
  - `/others` (hidden for now)
  - `/statistic`
  
### `/Statistic`

It is the main project folder.

### `/documentation`

This folder contains the translated documentation (English and Brazilian Portuguese, for now).

### `/english`

Contains documentation for modules in English.

### `/português-brasil`

Contains the modules documentation in Brazilian Portuguese language.

### `/img`

In this folder are the images used in the project.

### `/others`

In this one, there are sketches and things related to that.

### `/statistic`

This is the folder where the modules are located. In short, it is the main package of the project.

It has a `__init__.py` file where the module functions are imported.

## Documentations

This project, so far, contains 2 modules with functions. To find out more details about each function, go to `/documentation`, choose the folder with the language of your choice and there will be the function documentation files.

> Note: Whenever there is a change in any of the functions the documentation will change.
django_template_breakpoint 0.0.1
A template tag for dropping into a debugger inside a Django template.
Requires Python: >=3.7

# django-template-breakpoint

Drop into a Python debugger from inside your Django templates.

Inspired by [django-template-debug](https://github.com/calebsmith/django-template-debug).

## Installation

Install with pip:

```
python -m pip install django-template-breakpoint
```

## Usage

Add the app to your `INSTALLED_APPS` setting:

```
INSTALLED_APPS = [
    ...,
    "django_template_breakpoint",
    ...,
]
```

In a template, load the tag:

```
{% load breakpoint %}
```

Then set the breakpoint:

```
{% breakpoint %}
```

When this line is rendered by Django, `sys.breakpointhook()` will be called.
By default, this calls `pdb.set_trace()`.

All template variables in use are added to the current scope.
If using `pdb.set_trace()`,
you can run `dir()` to see the names of all template variables.


## Development

There's a test!  Run it with `python -m pytest`.