semvec/pypi-packages huggingface dataset:
bugzilla-docstrings 0.0.1
Reads Bugzilla docstrings and validates them using flake8
License: MIT
Keywords: bugzilla,testing

bugzilla-docstrings
===================

.. image:: https://gitlab.com/jdupuy/bugzilla_docstrings/badges/master/pipeline.svg
    :target: https://gitlab.com/jdupuy/bugzilla_docstrings/commits/master
    :alt: pipeline status

.. image:: https://gitlab.com/jdupuy/bugzilla_docstrings/badges/master/coverage.svg
    :target: https://gitlab.com/jdupuy/bugzilla_docstrings/commits/master
    :alt: coverage report

.. image:: https://img.shields.io/pypi/v/bugzilla-docstrings.svg
    :target: https://pypi.python.org/pypi/bugzilla-docstrings
    :alt: Version

.. image:: https://img.shields.io/pypi/pyversions/bugzilla-docstrings.svg
    :target: https://pypi.python.org/pypi/bugzilla-docstrings
    :alt: Supported Python Versions

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

Description
-----------
Library for reading Bugzilla docstrings used in Insights and CFME QE. Includes a flake8 extension for validating the docstrings.
This is a fork of polarion-docstrings

Install
-------
To install the package to your virtualenv, run

.. code-block::

    pip install bugzilla-docstrings

or install it from cloned directory

.. code-block::

    pip install -e .

Package on PyPI <https://pypi.python.org/pypi/bugzilla-docstrings>
fec2xlsx 0.1.2
A python library for making Excel files from FEC filings
License: MIT
Keywords: fec campaign finance politics

Microsoft Excel can be a powerful tool for analyzing FEC filings. This library (hopefully) makes it easy to create multi-sheet Excel files from files in the .fec file format, with a sheet for the summary data and a sheet for each type of itemization.



## Usage



Note: this library works best with version 3.7+ of Python due to the ordering of dictionary keys being [guaranteed](https://docs.python.org/3.7/library/stdtypes.html#typesmapping) to be in insertion order. The library should still work in older version of Python, but the columns on each sheet might be in a nonsensical order.



First, install from PyPi:



```

pip install fec2xlsx

```



Then, call one of the two methods for generating Excel files:



```

import fec2xlsx



fec2xlsx.file_number_xlsx(1326061, 'Gillibrand_Q1.xlsx')



fec2xlsx.file_location_xlsx('/path/to/1326016.fec', 'Harris_Q1.xlsx')

```



The `file_number_xlsx` method requests the specified `file_number` via http from the FEC's server's, first trying the URL for digital filings, then trying the URL for paper filings if the first response returns a 404 status code.



The `file_location_xlsx` method reads from the specified `file_path` (which takes anything you might pass to Python's [open](https://docs.python.org/3/library/functions.html#open) method) then writes to the specified `filename` output.



Both methods take an optional `options` keyword argument.



## Options



- `filter_memo_x`: (default: `True`) if True, ignores rows that have "X" as their `memo_code`. If, for example, a contribution comes in through a conduit committee like ActBlue, there are two rows: one for the contribution from an individual to the conduit and one from the conduit to the committee filing the report. Generally the second of those rows is marked with an "X" in the `memo_code` field and is the less useful of the two.



- `money_format`: (default: `$#,##0.00`) The format used for displaying monetary values. See [here](https://xlsxwriter.readthedocs.io/format.html#set_num_format) for more details/documentation.



- `date_format`: (default: `d mmm yyyy`) The format used for displaying date values. See [here](https://xlsxwriter.readthedocs.io/working_with_dates_and_time.html) for more details/documentation.
ks-realpython-reader 1.0.0
Read the latest Real Python tutorials
License: MIT

# Real Python Feed Reader

The Real Python Feed Reader is a basic [web feed](https://en.wikipedia.org/wiki/Web_feed) reader that can download the latest Real Python tutorials from the [Real Python feed](https://realpython.com/contact/#rss-atom-feed).

For more information see the tutorial [How to Publish an Open-Source Python Package to PyPI](https://realpython.com/pypi-publish-python-package/) on Real Python.

## Installation

You can install the Real Python Feed Reader from [PyPI](https://pypi.org/project/realpython-reader/):

    pip install realpython-reader

The reader is supported on Python 2.7, as well as Python 3.4 and above.

## How to use

The Real Python Feed Reader is a command line application, named `realpython`. To see a list of the [latest Real Python tutorials](https://realpython.com/) simply call the program:

    $ realpython
    The latest tutorials from Real Python (https://realpython.com/)
     0 How to Publish an Open-Source Python Package to PyPI
     1 Python "while" Loops (Indefinite Iteration)
     2 Writing Comments in Python (Guide)
     3 Setting Up Python for Machine Learning on Windows
     4 Python Community Interview With Michael Kennedy
     5 Practical Text Classification With Python and Keras
     6 Getting Started With Testing in Python
     7 Python, Boto3, and AWS S3: Demystified
     8 Python's range() Function (Guide)
     9 Python Community Interview With Mike Grouchy
    10 How to Round Numbers in Python
    11 Building and Documenting Python REST APIs With Flask and Connexion – Part 2
    12 Splitting, Concatenating, and Joining Strings in Python
    13 Image Segmentation Using Color Spaces in OpenCV + Python
    14 Python Community Interview With Mahdi Yusuf
    15 Absolute vs Relative Imports in Python
    16 Top 10 Must-Watch PyCon Talks
    17 Logging in Python
    18 The Best Python Books
    19 Conditional Statements in Python

To read one particular tutorial, call the program with the numerical ID of the tutorial as a parameter:

    $ realpython 0
    # How to Publish an Open-Source Python Package to PyPI

    Python is famous for coming with batteries included. Sophisticated
    capabilities are available in the standard library. You can find modules for
    working with sockets, parsing CSV, JSON, and XML files, and working with
    files and file paths.

    However great the packages included with Python are, there are many
    fantastic projects available outside the standard library. These are most
    often hosted at the Python Packaging Index (PyPI), historically known as the
    Cheese Shop. At PyPI, you can find everything from Hello World to advanced
    deep learning libraries.

    [... The full text of the article ...]

You can also call the Real Python Feed Reader in your own Python code, by importing from the `reader` package:

    >>> from reader import feed
    >>> feed.get_titles()
    ['How to Publish an Open-Source Python Package to PyPI', ...]