semvec/pypi-packages huggingface dataset:
Cython-GLDA 0.0.2
cython implementation of gaussianlda
License: MIT
Keywords: trial

following "myfirstpythonpackage" this follow up package intends to implement gibbs sampling of gaussianlda model in Cython




change log
===================================

version 0.0.1 (11/08/2021)
-----------------------------------
- testing object oriented version of Cython Gaussianlda
smartthings-rest 0.1.2
Smart and straightforward lib for controlling things with smartthings
License: MIT
Requires Python: >=3.6.2,<4.0.0

# Smartthings-rest

NOTE! work in progress

Smart and straightforward lib for controlling things with <https://www.smartthings.com/>  

- [Smartthings-rest](#smartthings-rest)
- [simple json printout of all](#simple-json-printout-of-all)
- [Turn device on](#turn-device-on)
- [Turn device off](#turn-device-off)

[Offical smartthings docs](https://developer-preview.smartthings.com/docs/getting-started/welcome)

~~~py
# simple json printout of all 
from smartthings_rest import SmartThings

st = SmartThings(personal_access_token)

print(st.devices())

~~~

~~~sh
export PAT="your_pat"
python3 hello_smartthings.py
~~~

~~~text
Urls to add

https://api.smartthings.com/v1/devices/deviceId/status

https://api.smartthings.com/v1/devices/deviceId/components/main/capabilities/mediaInputSource/status

---
# Turn device on
https://api.smartthings.com/v1/devices/deviceId/commands

{
    "commands": [
        {
            "component": "main",
            "capability": "switch",
            "command": "on"
        }
    ]
}

# Turn device off
https://api.smartthings.com/v1/devices/deviceId/commands

{
    "commands": [
        {
            "component": "main",
            "capability": "switch",
            "command": "off"
        }
    ]
}

https://api.smartthings.com/v1/capabilities

https://api.smartthings.com/v1/capabilities/switch/1

~~~
fastapi-quant-candles 0.1.0
FastAPI Quant Candles aggregates candlesticks using tick data from financial exchanges
License: MIT
Requires Python: >=3.7.1,<3.10
Keywords: fastapi,quant,candles,candlesticks

# What?

FastAPI Quant Candles aggregates candlesticks using tick data from financial exchanges. At the moment, only cryptocurrency exchanges are supported.


# Why?

Historical tick data can be useful for analyzing financial markets, and for machine learning. As an example, refer to ["The Volume Clock: Insights into the High Frequency Paradigm"](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2034858).

It is said that 80% of the effort in ML is getting and cleaning your data. Maybe this can help.


# How?

To use the scripts, exchange API and/or SQLAlchemy classes `pip install fastapi-quant-candles`. The classes may be used, for example, concurrently by a [WebSocket server](https://github.com/globophobe/cryptofeed-werks).

Whenever possible, data is downloaded from the exchange's AWS S3 repositories. Otherwise, it is downloaded using their REST APIs. 

A database, preferably PostgreSQL, is required. Candles and the minimal data required to aggregate them is saved in the database. Raw and aggregated tick data is saved in gzipped CSV files. Optionally, such data may be saved in Google BigQuery. 

BigQuery is recommended as it is cost performant. For the price of a fancy cup of coffee each month, years of historical data can be stored. It is cheaper than most S3 and GCS storage classes. As part of the [free tier](https://cloud.google.com/free), a terabyte of queries is free each month. A further [2 terabytes of streaming inserts](https://cloud.google.com/bigquery/pricing#data_ingestion_pricing) is free each month, using the BigQuery Storage Write API.  

[BigQuery Notes](https://github.com/globophobe/fastapi-quant-candles/blob/main/NOTES.md)

Supported exchanges
-------------------

- [ ] Alpaca Markets
- [x] Binance REST API (requires API key)
- [x] Bitfinex REST API
- [ ] Bitflyer REST API
- [x] BitMEX REST API, and [S3](https://public.bitmex.com/) repository
- [x] Bybit REST API, and [S3](https://public.bybit.com/) repository
- [x] Coinbase Pro REST API
- [ ] Deribit REST API
- [x] FTX REST API

Note: Exchanges without paginated REST APIs will never be supported.

For deployment, there are Dockerfiles. As well there are invoke tasks for rapid deployment to both GCP Compute and Google Cloud Run.

Installation
------------

For convenience, `fastapi-quant-candles` can be installed from PyPI:

```
pip install fastapi-quant-candles[all]
```

With API, BigQuery, and Sentry:
```
pip install fastapi-quant-candles[api,bigquery,sentry]
```

Environment
-----------

To use the scripts or deploy to GCP, rename `.env.sample` to `.env`, and add the required settings.

Contributions
-------------

Please fork this repo, or give it a :star:
tembo 0.0.8
A simple folder organiser for your work notes.
License: MIT
Requires Python: >=3.8,<4.0
Keywords: notes,organisation,work

# Tembo

<img
    src="https://raw.githubusercontent.com/tembo-pages/tembo-core/main/assets/tembo_logo.png"
    width="200px"
/>

A simple folder organiser for your work notes.