semvec/pypi-packages huggingface dataset:
test-release-rts-py 1.4.7
Test Release for RedisTimeSeries Python Client
Keywords: Redis TimeSeries Extension

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# redistimeseries-py
[![Forum](https://img.shields.io/badge/Forum-RedisTimeSeries-blue)](https://forum.redislabs.com/c/modules/redistimeseries)
[![Gitter](https://badges.gitter.im/RedisLabs/RedisTimeSeries.svg)](https://gitter.im/RedisLabs/RedisTimeSeries?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)

redistimeseries-py is a package that gives developers easy access to RedisTimeSeries module. The package extends [redis-py](https://github.com/andymccurdy/redis-py)'s interface with RedisTimeSeries's API.  

## Installation
``` 
$ pip install redistimeseries
```

## API
The complete documentation of RedisTimeSeries's commands can be found at [RedisTimeSeries's website](http://redistimeseries.io/).

## Usage example

```sql
# Simple example
from redistimeseries.client import Client
rts = Client()
rts.create('test', labels={'Time':'Series'})
rts.add('test', 1, 1.12)
rts.add('test', 2, 1.12)
rts.get('test')                                  
rts.incrby('test',1)                               
rts.range('test', 0, -1)
rts.range('test', 0, -1, aggregation_type='avg', bucket_size_msec=10)
rts.range('test', 0, -1, aggregation_type='sum', bucket_size_msec=10)
rts.info('test').__dict__

# Example with rules
rts.create('source', retention_msecs=40)
rts.create('sumRule')
rts.create('avgRule')
rts.createrule('source', 'sumRule', 'sum', 20)
rts.createrule('source', 'avgRule', 'avg', 15)
rts.add('source', '*', 1)
rts.add('source', '*', 2)
rts.add('source', '*', 3)
rts.get('sumRule')
rts.get('avgRule')
rts.info('sumRule').__dict__
```

## License
[BSD 3-Clause](https://github.com/ashtul/redistimeseries-py/blob/master/LICENSE)
spreadg 0.1.0
Plot data from Google sheets
Requires Python: >=3.6

# SpreadG
 SpreadG is a small wrapper around the Google Sheets API (v4) and gspread 3.6.0 to provide more convenient access to Google Sheets from Python scripts and plot graphs with the help of Matplotlib.

<a href='https://developers.google.com/sheets/api/quickstart/python#step_1_turn_on_the_api_name'>Turn on the API</a>, download an OAuth client ID as JSON file, and start working.

# Installation
```bash
# pip install -r requirement.txt
pip install spreadg
```
This will also install google-api-python-client and its dependencies, notably httplib2 and oauth2client, as required dependencies.

# Quickstart
```python
from spreadg import *
data=dataloader('credentials.json', "Sheetname")
df=to_df(data)
fig = plotter(df, X, y)
fig.savefig("something.png")
```

author: Himanshu Pal<br>
mailto: palhimanshu997[at]gmail[.]com
spreadG 0.0.3
Plot data from Google sheets
Requires Python: >=3.6

# SpreadG
 SpreadG is a small wrapper around the Google Sheets API (v4) and gspread 3.6.0 to provide more convenient access to Google Sheets from Python scripts and plot graphs with the help of Matplotlib.

<a href='https://developers.google.com/sheets/api/quickstart/python#step_1_turn_on_the_api_name'>Turn on the API</a>, download an OAuth client ID as JSON file, and start working.

# Installation
```bash
# pip install -r requirement.txt
pip install spreadg
```
This will also install google-api-python-client and its dependencies, notably httplib2 and oauth2client, as required dependencies.

# Quickstart
```python
from spreadg import *
data=dataloader('credentials.json', "Sheetname")
df=to_df(data)
fig = plotter(df, X, y)
fig.savefig("something.png")
```

author: Himanshu Pal<br>
mailto: palhimanshu997[at]gmail[.]com
ansh997 0.1.0
Plot data from Google sheets
Requires Python: >=3.6

# SpreadG
 SpreadG is a small wrapper around the Google Sheets API (v4) and gspread 3.6.0 to provide more convenient access to Google Sheets from Python scripts and plot graphs with the help of Matplotlib.

<a href='https://developers.google.com/sheets/api/quickstart/python#step_1_turn_on_the_api_name'>Turn on the API</a>, download an OAuth client ID as JSON file, and start working.

# Installation
```bash
# pip install -r requirement.txt
pip install spreadg
```
This will also install google-api-python-client and its dependencies, notably httplib2 and oauth2client, as required dependencies.

# Quickstart
```python
from spreadg import *
data=dataloader('credentials.json', "Sheetname")
df=to_df(data)
fig = plotter(df, X, y)
fig.savefig("something.png")
```

author: Himanshu Pal<br>
mailto: palhimanshu997[at]gmail[.]com
hokohoko 0.1.0a1602446538
Provides a consistent interface to benchmark FOREX prediction projects.
Requires Python: >=3.7

# Hokohoko

_Hokohoko means "to trade, barter, exchange, sell, buy, export, alternate" in
Te Reo Māori._[1]

Hokohoko aims to provide a consistent benchmark for academics and others who
wish to test the efficacy of their algorithms on FOREX speculation.
It provides 7 years of per-minute market data across 50 currency pairs, and
various assessors by which researchers may verify the accuracy of their algorithm.

The documentation can be found at [hokohoko.readthedocs.org](https://hokohoko.readthedocs.org).

The source can be found at [github.com/nc-bradley/Hokohoko](https://github.com/nc-bradley/Hokohoko).

<hr>

[1] The name was determined in conjunction with Associate Professor
Te Taka Keegan, Associate Dean Māori of Wananga Putaiao, Te Wananga o Waikato
(Division of Health, Engineering, Computing and Science, University of Waikato).

Copyright 2020 Neil Bradley