semvec/pypi-packages huggingface dataset:
email-reader 1.0.23
Read and parse email's from gmail

===============================
email_reader
===============================

.. image:: https://img.shields.io/travis/acdurai04/email_sample.svg
        :target: https://travis-ci.org/acdurai04/email_sample

.. image:: https://img.shields.io/pypi/v/email_sample.svg
        :target: https://pypi.python.org/pypi/email_sample



.. :changelog:

History
-------

Pre-release
dfviewer 0.0.2
A data view tool for pandas data frames working on Jupyter Notebook or IPython.
Requires Python: >=3.6

# dfviewer
dfviewer is PyQt5 based a data view tool for pandas data frames working on Jupyter Notebook or IPython.
## Installation

```
pip install dfviewer
```

## Usage
```python
from dfviewer import v
import pandas as pd
df = pd.read_csv(r'https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv')
v(df)
```
![main](images/main.png)
You can set number of rows displayed per page. Default value is 100. For example:
```python
v(dataFrame, 500)
```
### Sorting
You can easily sort all the data by double-clicking the column headers. When you double-click on the header again, ascending sorting option will be active.

### Searching

#### Regular Search
Using the search bar at the top, you can search within the columns of the dataframe. To trigger the search, you need to press the enter key after typing the word to be searched for. You can change the column to be searched with the combo box to the right of the search bar.

![search](images/search.png)

#### Pandas Query
You can use pandas queries to perform more complex (for example, conditional search) searches. To enable this option, click on the "Search Query" box next to the search bar. Then type the query in the search box and press the enter button.

![query](images/query.png)

## Known bugs
- Dataframe indexes should not be multi index.
- All column names must be string.
flake8-requests 0.4.0
Checks for the requests module, by r2c. Available in Bento (https://bento.dev).
Requires Python: >=3.6,<4.0


# flake8-requests

flake8-requests is a plugin for flake8 with checks specifically for the [request](https://pypi.org/project/requests/) framework.

## Installation

```
pip install flake8-requests
```

Validate the install using `--version`. flake8-requests adds two plugins, but this will be consolidated in a very near-future version. :)

```
> flake8 --version
3.7.9 (mccabe: 0.6.1, pycodestyle: 2.5.0, pyflakes: 2.1.1, flake8-requests)
```

## List of warnings
- `r2c-requests-no-auth-over-http`: Alerts when `auth` param is possibly used over http://, which could expose credentials. See more documentation at https://checks.bento.dev/en/latest/flake8-requests/r2c-requests-no-auth-over-http/
- `r2c-requests-use-scheme`: Alerts when URLs passed to  `requests` API methods dont have a URL scheme (e.g., https://), otherwise an exception will be thrown. See more documentation at
https://checks.bento.dev/en/latest/flake8-requests/r2c-requests-use-scheme/
- `r2c-requests-use-timeout`: This check detects when a `requests` API method has been called without a timeout. `requests` will hang forever without a timeout; add a timeout to prevent this behavior.
ZeffClient 1.0.3
ZeffClient is a command line tool & library for working with Zeff AI Cloud API.
Requires Python: >=3.7
Keywords: machine learning

ZeffClient
**********

.. image:: https://img.shields.io/pypi/v/ZeffClient
   :alt: PyPI Version
   :target: https://pypi.org/project/ZeffClient

.. image:: https://img.shields.io/pypi/pyversions/ZeffClient
   :alt: Python Versions
   :target: https://pypi.org/project/ZeffClient

.. image:: https://img.shields.io/pypi/dw/ZeffClient
   :alt: PyPi Weekly Downloads
   :target: https://pypi.org/project/ZeffClient

.. image:: https://g.codefresh.io/api/badges/pipeline/dgonzo/ZeffClient%2Fci_zeffclient?branch=master&key=eyJhbGciOiJIUzI1NiJ9.NWNlNDNhMDQ2MGNmOGMxZTZmY2NhNGVm.Hg2iF4tMbJKQVS6C019WtitMwcJckIdD1bK8NlYaM_c&type=cf-1
   :alt: codefresh Status
   :target: https://g.codefresh.io/pipelines/ci_zeffclient/builds?repoOwner=zeff-ai&repoName=ZeffClient&serviceName=zeff-ai%2FZeffClient&filter=trigger:build~Build;branch:master;pipeline:5d0bdd0db5092ffa8c954a30~ci_zeffclient

.. Badge Coverage

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :alt: Black Code Style
   :target: https://github.com/python/black


Overview
========

ZeffClient is a command line tool and library to simplify working with
Zeff AI Cloud API.


Features
========

   - User defined record creation.

   - Optimized validation of records.

   - Optimized upload of records.

   - Model training controls.


Quickstart
==========

   - `Examples <https://docs.zeff.ai/zeffclient/latest/examples/index.html>`_


Links
=====

   - `Documentation <https://docs.zeff.ai/zeffclient/latest>`_

   - `Bugs / Requests <https://github.com/zeff-ai/ZeffClient/issues>`_

   - `Changelog <https://docs.zeff.ai/zeffclient/latest/changelog.html>`_

   - `Contributing <https://github.com/zeff-ai/ZeffClient/blob/master/CONTRIBUTING.rst>`_


Copyright
=========

:Copyright: © 2019 Ziff, Inc.

:License:
    Licensed under the Apache License, Version 2.0 (the "License");
    you may not use this file except in compliance with the License.
    You may obtain a copy of the License at

        http://www.apache.org/licenses/LICENSE-2.0

    Unless required by applicable law or agreed to in writing, software
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
    limitations under the License.