semvec/pypi-packages huggingface dataset:
strictdf 0.1.0
A very basic dataframe check
License: MIT
Keywords: strictdf

Strictdf
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Library with functions to determine data types by columns and clean the dataframe
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.. image:: https://img.shields.io/badge/Version-V%200.1.0-important?style=for-the-badge
    :target: https://pypi.org/project/strictdf/

.. image:: https://img.shields.io/badge/Level-TechInterview-green?style=for-the-badge
    :target: https://pypi.org/project/strictdf/

.. image:: https://img.shields.io/badge/Tools-Python%20%2F%20Pandas%20%2F%20Jupyter%20%2F%20Pytest-yellow?style=for-the-badge
    :target: https://pypi.org/project/strictdf/

.. image:: https://img.shields.io/badge/Type%20of%20exercise-Practical-sucess?style=for-the-badge
    :target: https://pypi.org/project/strictdf/

Strictdf is a simple dataframe check
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Change Log
==========

0.1.0 (15/09/2020)
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- Last changes
aiotusclient 0.1.4
tus.io-compatible upload client library for Python asyncio
License: MIT
Requires Python: >=3.7

# tus.io uploader for Python asyncio
aiotusclient is a fork of tus-py-client rewritten for Python asyncio and aiohttp.
It is used to communicate with storage proxies that handle large transfers for vfolder uploads and downloads.


## Package Structure
* `aiotusclient`
  - `client`: The client instance class which communicates between Backend.AI Manager
  - `baseuploader` and `uploader`
    - Responsible for chunking the file and asynchronously uploading to tus server
  - `request`
    - Handles the uploading request


## Installation

### Prequisites
* Python 3.7 or higher with [pyenv](https://github.com/pyenv/pyenv)
and [pyenv-virtualenv](https://github.com/pyenv/pyenv-virtualenv) (optional but recommneded)

### Installation Process

First, prepare the source clone of this agent:
```console
# git clone https://github.com/lablup/aiotusclient
```

From now on, let's assume all shell commands are executed inside the virtualenv. And we located in backend.ai root directory.

Now install dependencies:
```console
# pip install -U aiotusclient
```


When done, import into your code the aiotusclient
```python
from aiotusclient import client

tus_client = client.TusClient(session_create_url, session_upload_url, rqst.headers, params)
```

### Reference
This library was forked from [tus-py-client](https://github.com/tus/tus-py-client) and customized in order to facilitate asynchronous communication with our TUS server.