semvec/pypi-packages huggingface dataset:
pysqlw 1.3.1
Python wrapper to make interacting with SQL databases easy
License: MIT
Keywords: sql sqlite mysql wrapper

======
pysqlw
======

.. _MySQLdb: http://sourceforge.net/projects/mysql-python/
.. _This link: http://blog.mysqlboy.com/2010/08/installing-mysqldb-python-module.html
.. _readthedocs: https://pysqlw.readthedocs.org
.. _pysqlw wrappers: https://pysqlw.readthedocs.org/en/latest/wrappers.html
.. _github repo: https://github.com/plausibility/pysqlw
.. _with: https://pysqlw.readthedocs.org/en/latest/usage.html#with-pysqlw-as-p

A Python based wrapper (meta-wrapper, even) allowing easy MySQL and SQLite interactions.

Requirements
============

-  Python 2.7.3 (this is what I test with, should work with most 2.x; 3.x not guaranteed without porting)
-  sqlite3 module (comes with Python installs)
-  Install `MySQLdb`_ if you want MySQL support

   -  If you’re using a Debian-like distro (Ubuntu, Debian, Crunchbang, etc), install the package **python-mysqldb**

      - ``$ sudo apt-get install python-mysqldb``

   -  There is no pypi package (someone get on this)
   -  If that didn’t work, or you’re not using a Debian-like distro:

      -  Build and install the MySQLdb module from source.
      -  `This link`_ explains better than I could.

   -  Verify it’s installed: ``$ python -c 'import MySQLdb'``

      -  If nothing shows up, you’re good!
      -  If you get an ImportError, think, do you **really** need MySQL?
      -  If yes, this is a problem, and I can't really help. :(
      -  If you don't, just use sqlite, it's much easier.

Usage
=====

-  Install pysqlw: ``$ pip install pysqlw``
-  Import pysqlw:

   - ``import pysqlw``

-  Create a new instance:

   -  ``p = pysqlw.pysqlw(db_type="sqlite", db_path="/home/user/example.db")``
   -  If you want to use MySQL you need to supply more details:
   -  ``p = pysqlw.pysqlw(db_type="mysql", db_host="localhost", db_user="username", db_pass="password", db_name="database_name")``
   -  Alternatively, you can use it with Python's `with`_ statement.

-  Documentation is now on the pysqlw `readthedocs`_ entry.

Contributing
============
If you're interested, you can write extra meta-wrappers for foreign database types.  
They're pretty simple, look at the `pysqlw wrappers`_ documentation page for an example.

If there's not a wrapper for a database type you'd like (that is, an actual wrapper, not just a meta-wrapper), you should make one of those and send in some pull requests with meta-wrappers! More coverage is great.

If you wish to help contribute to the base wrapper functions, feel free to fork the `github repo`_ and send in pull requests!
xpython 1.0.0a2
xPython provides a python-like syntax and converters to any language.
License: MIT
Keywords: python,compiler,xpython

xPython
====================

**xPython** provides a python-like syntax and converters to any language.

In other words - you write code on xPython and then convert it to
Python, JavaScript, Java, Swift, PHP and other languages.


Quick start
-------------

Read `Quick Start <https://github.com/1st/xpython>`_ on GitHub.
ezvis3d 0.2
easy vis.js Graph3d js library wrapper, accessible from pandas dataframes in the IPython notebook
License: MIT
Keywords: vis.js,Graph3d,pandas,notebook,javascript

ezhc
====

**ezvis3d** stands for easy vis.js/Graph3d. `vis.js Graph3d`_ is a
popular, flexible, versatile, user friendly 3d visualisation javascript
library.

**ezvis3d** is a wrapper that lets you transparently access the full
configuration options of the library as described in their APIs,
directly from the `Jupyter notebook`_.

You just need to store the data in a `pandas`_ dataframe. See the
examples in these notebooks: + the `demo notebook`_. + a `Black and
Scholes formula viewer`_.

To install run from command line:

::

    pip install ezvis3d

.. _vis.js Graph3d: http://visjs.org/graph3d_examples.html
.. _Jupyter notebook: http://jupyter.org/
.. _pandas: http://pandas.pydata.org/
.. _demo notebook: http://nbviewer.ipython.org/github/oscar6echo/ezvis3d/blob/master/demo_ezvisd3.ipynb
.. _Black and Scholes formula viewer: http://nbviewer.ipython.org/github/oscar6echo/ezvis3d/blob/master/BlackScholesViewer.ipynb
filetool 0.0.4
File manipulate tools.
License: MIT

.. image:: https://travis-ci.org/MacHu-GWU/filetool-project.svg?branch=master

.. image:: https://img.shields.io/pypi/v/filetool.svg

.. image:: https://img.shields.io/pypi/l/filetool.svg

.. image:: https://img.shields.io/pypi/pyversions/filetool.svg


Welcome to filetool Documentation
===============================================================================
Tool set helps you **select, filter, sort, archive， rename, manipulate** your files. Similar to pathlib. If you worry about performance, `this package <https://pypi.python.org/pypi/pathlib_mate>`_ might works.


**Quick Links**
-------------------------------------------------------------------------------
- `GitHub Homepage <https://github.com/MacHu-GWU/filetool-project>`_
- `Online Documentation <http://pythonhosted.org/filetool>`_
- `PyPI download <https://pypi.python.org/pypi/filetool>`_
- `Install <install_>`_
- `Issue submit and feature request <https://github.com/MacHu-GWU/filetool-project/issues>`_
- `API reference and source code <http://pythonhosted.org/filetool/py-modindex.html>`_


.. _install:

Install
-------------------------------------------------------------------------------

``filetool`` is released on PyPI, so all you need is:

.. code-block:: console

	$ pip install filetool

To upgrade to latest version:

.. code-block:: console

	$ pip install --upgrade filetool