semvec/pypi-packages huggingface dataset:
sprox 0.10.2
A package for creation of web widgets directly from database schema.
License: MIT

Sprox
==============

.. image:: https://travis-ci.org/TurboGears/sprox.png
    :target: https://travis-ci.org/TurboGears/sprox 

.. image:: https://coveralls.io/repos/TurboGears/sprox/badge.png
    :target: https://coveralls.io/r/TurboGears/sprox

.. image:: https://pypip.in/v/sprox/badge.png
   :target: https://pypi.python.org/pypi/sprox

.. image:: https://pypip.in/d/sprox/badge.png
   :target: https://pypi.python.org/pypi/sprox

Form Generation from database schema for ToscaWidgets with support for various database backends

License
-----------

Sprox is licensed under an MIT-style license (see LICENSE.txt).
Other incorporated projects may be licensed under different licenses.
All licenses allow for non-commercial and commercial use.
history-exploiter 1.20
Lets you selectively manipulate the browsing history in Firefox
License: MIT
Keywords: python , linux , browser

HistoryExploiter
================

Lets you selectively manipulate your browsing history in FireFox.

- View and Delete your browsing history containing certain unwanted words
- View and Delete your history of a particular time period

Installation
------------

.. code:: sh

    $ sudo pip install history-exploiter

Usage
-----

-  Run the following command in your terminal.

.. code:: sh

    $ history-exploiter [mode] [by]

[mode] can be:

-  -t or --test : Testing mode (selected history is displayed, no actual
   deletion)
-  -d or --delete : Deletion mode (selected history is permanently
   deleted)

[by] specifies show/delete history on what basis. It ban be:

-  -kw or --keywords : To show/delete history according to some keywords
-  -ts or --timespan : To show/delete history according to a particular
   timespan

In case no arguments are passed, follow throught the instructions on
running the script.

Example
-------

.. code:: sh

    >>history-exploiter -t -kw
    Running in testing mode:
    Enter the list of key words to search for in the history: movie youtube
    These Results matched your queries:
    1. http://123movies.to/
    2. https://www.youtube.com/watch?v=6vA3H8sQK88
    3. ....
    4. ....

.. code:: sh

    >>history-exploiter -d -kw
    Running in deletion mode:
    Enter the list of keywords to search for in the history: watch youtube
    Deleting history........
    Done.
x2x 0.9
commands to convert radixes
License: MIT
Keywords: radix base convert binary octal decimal hexadecimal

x2x

Commands to convert radixes.

* x2b - convert to binary
* x2o - convert to octal
* x2d - convert to decimal
* x2h - convert to heaxadecimal
* x2x - convert any radix to any radix


Installing
----------

PyPI
::

    pip install x2x

From source
::

    python setup.py install

Versions
--------

0.9 (Jan, 2016)

* first release
forestdb 0.1.1
Fast Python bindings for the forestdb embedded database.
License: MIT

## forestdb-python

Fast Python bindings for [forestdb](https://github.com/couchbase/forestdb/), an embedded key-value storage engine developed by Couchbase. The main index structure is built from [Hierarchical B+-Tree based Trie](http://db.csail.mit.edu/sigmod11contest/sigmod_2011_contest_poster_jungsang_ahn.pdf) (pdf).

> Compared with traditional B+-Tree based storage engines, ForestDB shows significantly better read and write performance with less storage overhead.

### ForestDB Features

* Keys, values and metadata are treated as arbitrary binary data.
* Values can be retrieved by key or by a unique integer *sequence number*.
* Write-Ahead-Logging (WAL) and its in-memory index are used to reduce the main index lookup/update overhead.
* Multi-Version Concurrency Control (MVCC) support and append-only storage layer.
* Multiple snapshots can be created from a given ForestDB instance to provide different views of database over time.
* Rollback is supported to revert the database to a point-in-time.
* Ranged iteration by keys is supported for partial or full range lookup operation (cursors).
* Transactional support with read committed or read uncommitted isolation.
* Encryption (AES256)

### Python Binding Features

* Written in Cython to give best performance.
* Support for virtually all public APIs.