semvec/pypi-packages huggingface dataset:
airflow-arcgis-plugin 0.0.1
An Apache Airflow plugin to update feature layers from a PostgreSQL database.

# airflow-arcgis [![PyPI version](https://badge.fury.io/py/airflow-arcgis-plugin.svg)](https://pypi.org/project/airflow-arcgis-plugin/)
Simple hooks and operators for exporting data from ArcGIS.

Import PostgreSQL table data into ArcGIS feature layer or perform incremental updates.<sup>WIP</sup>
# Features
- `PostgresToArcGISOperator` - exporting/syncing a PostgreSQL table to ArcGIS
# Install
Using pip:
```bash
pip3 install airflow-arcgis-plugin
```

# Usage
Create a connection of type `HTTP` in Airflow named `http_ago` to store your ArcGIS base url (e.g. `https://detroitmi.maps.arcgis.com/`), username and password. *You can also pass in an override connection name in your DAG definition.*

This plugin is published as a pip package. Refer to the example DAG for available parameters.
ipandas 0.0.1
Adding intelligence to pandas

# ipandas
Enhanced pandas intelligence

Added functions to default pandas functionality:
  1. read_data(filename): automatically detects correct full name of the file using regex match and the required file type, if file is in the current working directory
  > Example: jan = read_data('jan') will automatically read the file named 'ParisJanData.xlsx' and return as a pandas dataframe, while printing the complete file name, top 5 rows of the data and the actual dimensions of the read dataframe.
  2. converttxt(): automatically detects all the txt files present in the current working directory and converts to xlsx.
simplywik 1.1.0
Generate wikis from Markdown files
Requires Python: >=3.7

# simplywik

Lets you write wikis in Markdown.

## Installation

`pip3 install --user simplywik`

## Usage

In your desired directory, run `simplywik init` to generate a new configuration file. An example is shown:

```yaml
clear_output_dir_on_build: true
data_directory: ./data
output_directory: ./build
```

- `clear_output_dir_on_build` removes the `output_directory` before building again.
- `data_directory` is the place where you store your markdown files.
- `output_directory` is the place where built HTML files are placed.

Once configured (and once your Markdown files are placed), run `simplywik build` to build the wiki.

## Supported Markdown

All markdown (with the exeption of *inline* footnotes; regular footnotes are supported) is supported.
torch-es 0.0.1
Double Seasonal Exponential Smoothing using PyTorch + ES-RNN capabilities on top

# torch-es
Double Seasonal Exponential Smoothing using [`PyTorch`](https://pytorch.org) with batched data and multiple series training support.


# �� Roadmap

There are lots of tools built on top of the code in this repository, so the plan is to add them here eventually.

Here's what's published:

- [x] 3d Holt-Winters implementation
- [x] Additive and Multiplicative seasonalities
- [x] Blender module to merge predictions from multiple series.
- [ ] Training loop for normal and bptt training.
- [ ] Uncertainty estimation via sampling.
- [ ] Additional losses
- [ ] RNN training on top of HW.

# �� Dependencies

- torch
- numpy