semvec/pypi-packages huggingface dataset:
aiohltv 0.1.0
aioHltv An unofficial asynchronous HLTV API Wrapper for Python
Requires Python: >=3.8

# aioHltv An unofficial asynchronous HLTV API Wrapper for Python

# Features

* New and modern fully async library

* Supports proxy usage for rate-limiting and privacy

* Automatically changes proxy if access is denied


---

# Installation

```
pip install aiohltv
```

---


# Simple Usage
```
from aiohltv import Hltv


hltv = Hltv()
live_matches = await hltv.get_live_matches()
```

---

# Proxy Usage
**Load Proxies from file**

```
hltv = Hltv(use_proxy=True, proxy_path='PATH_TO_PROXY.TXT')
```

**Load Proxies from list**
```
proxy_list = ['http://120.234.203.171:9002', 'http://110.38.68.38:80']

hltv = Hltv(use_proxy=True, proxy_list=proxy_list)
```
---

# Requirements:

Python 3.7+

License:
HLTV Async is licensed under the MIT License, allowing for personal and commercial use with minimal restrictions.
spark-dql-tools 0.7.2
spark_dql_tools
Keywords: spark, dql, rules, hammurabies, haas, mvp

# spark_dql_mvp_tools

[![Github License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Updates](https://pyup.io/repos/github/woctezuma/google-colab-transfer/shield.svg)](pyup)
[![Python 3](https://pyup.io/repos/github/woctezuma/google-colab-transfer/python-3-shield.svg)](pyup)
[![Code coverage](https://codecov.io/gh/woctezuma/google-colab-transfer/branch/master/graph/badge.svg)](codecov)

spark_dql_mvp_tools is a Python library that implements quality rules in sandbox

## Installation

The code is packaged for PyPI, so that the installation consists in running:

## Usage

wrapper create hammurabies MVP

## Sandbox

## Installation

```sh
!yes| pip uninstall spark-dql-mvp-tools
```

```sh
pip install spark-dql-mvptools --user --upgrade
```

## IMPORTS

```sh
import os
import pyspark
from pyspark.sql import functions as func
from spark_generated_rules_tools import dq_path_workspace
from spark_generated_rules_tools import dq_generated_mvp
import spark_dataframe_tools 

```

## Variables

```sh
user_sandbox="P030772"
```

## Creating Workspace

```sh
dq_path_workspace(user_sandbox=user_sandbox)
```

## Run

```sh
table_raw_name = 't_klau_moe_adj_id_mthly_info'
table_master_name = 't_pmfi_moe_adj_id_mthly_info'
periodicity = 'Daily'
target_staging_path = '/in/staging/datax/klau/my_file_{?YEAR_MONTH}.csv'
is_uuaa_tag = False

dq_generated_mvp(table_master_name=table_master_name,
                 table_raw_name=table_raw_name,
                 periodicity=periodicity,
                 target_staging_path=target_staging_path,
                 is_uuaa_tag=is_uuaa_tag)
               
```

## License

[Apache License 2.0](https://www.dropbox.com/s/8t6xtgk06o3ij61/LICENSE?dl=0).

## New features v1.0

## BugFix

- choco install visualcpp-build-tools

## Reference

- Jonathan Quiza [github](https://github.com/jonaqp).
- Jonathan Quiza [RumiMLSpark](http://rumi-ml.herokuapp.com/).