semvec/pypi-packages huggingface dataset:
notion-sync 0.3.2
A tool to sync a notion collection to markdown files
Requires Python: >=3.7

# notion-sync

```
pip install notion-sync
```

![](https://www.travis-ci.org/Adjective-Object/notion-md-sync.svg?branch=master) ![](https://img.shields.io/badge/straight-passing-brightgreen.svg)

A tool to sync a notion collection to markdown files

## Setting up Notion

- Create a collection table view
- Add columns for
  - Publish Date (type date)
  - Status (type select, with Published as an option)
  - Tags (type multi_select)

## Setting up you syncing directory

- copy `config-example.json` to `config.json`
- set token_v2 to the value of your token_v2 token on a logged-in session of notion
- set sync_root to the url of a collection view page (the database-as-rows page)

In the same directory as your config file, run:

```
notion_sync
```
MagD 2.3
A map based packaged to analyze seimic network perfromance

# magD
A routine for looking at magnitude detection thresholds using noise pdfs and
the Brune model, written by Dan McNamara in C and ported to python

[![PyPI version](https://badge.fury.io/py/MagD.svg)](https://badge.fury.io/py/MagD)
[![Build Status](https://travis-ci.org/travis-ci/travis-web.svg?branch=master)](https://travis-ci.org/travis-ci/travis-web)

magD has been tested on python 3.6

MagD allows an end user to evaluate seismograph performance at the network level.

## Client

An example client repo is at https://github.com/pnsn/magd_client refer to this repo for examples


## Installation
pip install magD


## Pofiles
### Magnitude thresholds
Magnitude thresholds use noise PSD's from IRIS https://service.iris.edu/mustang/noise-psd/1/

The noise at the local station is used to determine the smallest magnitude it can detect for a given origin. For each origin(lat/lon) every station in the set in analyzed, the sorted by magnitude form smallest to highest. The origin is then contoured by the nth (num_stations) smallest magnitude.

### Density
The station density is plotted for each origin and contours by distance to the nth (num_stas) closest station

### Warning Time
The map is contoured by Alert time - S wave arrival time where alert time is p-wave arrival at nth station + processing time)

### Blindzone 
The size of the EEW blindzone for a given area
ufcstats 0.0.3
A package to retrieve stats from ufcstats.com

# UFCStats: A Python API for fighers stats on ufcstats.com

`ufcstats` provides a simple api to retrieve stats from figherse pages on ufcstats.com 

## Requirements

This package requires [beautifulsoup4](https://pypi.org/project/beautifulsoup4/) and [urllib3](https://pypi.org/project/urllib3/)

## Installation
Use `pip` to install the package from PyPi:

```bash
pip install ufcstats
```

## Usage
Import the package and retrieve stats for a certain fighter:

```python
import ufcstats
stats = ufcstats.getStats("Jon Jones")
print(stats)
```

```bash
{
    "Name": "Jon Jones",
    "Nick": "Bones",
    "Height:": "6' 4\"",
    "Weight:": "205 lbs.",
    "Reach:": "84\"",
    "STANCE:": "Orthodox",
    "DOB:": "Jul 19, 1987",
    "SLpM:": "4.48",
    "Str. Acc.:": "57%",
    "SApM:": "2.05",
    "Str. Def:": "64%",
    "TD Avg.:": "2.07",
    "TD Acc.:": "47%",
    "TD Def.:": "95%",
    "Sub. Avg.:": "0.5"
}
```