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CommandLine is a static class that provides an easy way to parse command-line arguments.

The CommandLine interface provides an enumeration for the accepted options, and the subclasses Options and DefaultParser provide concrete implementations of this interface. Both Options and DefaultParser implement the ParseException interface, which is an alternative to exceptions.

This document is a reference to all the classes in the classes-for-java.com library, and how they interact together. It is based on Java SE version 1.5. The classes-for-java.com library is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

The classes-for-java.com library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with the classes-for-java.com library. If not, see

(You should be able to obtain a copy of the license from the license webpage.)

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Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

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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.

See the attached README.txt file for a description of the classes in this eea19f52d2

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PyTables is a flexible C library providing a set of high-level abstractions for dealing with numerical data stored on disk.
PyTables

PyTables was designed to ease the development process for any Python programmer. It is based on the NumPy library and combines the speed and ease of use of NumPy with the convenience of the Python programming language.
The goal of the PyTables project is to provide a set of high-level abstractions to handle both array data (think NumPy) and table data (think SQLite)

PyTables Tutorials

Some examples of how to use PyTables to manage data:

PyTables Tutorials

PyTables can be used to load data from either a txt file, a csv file or from the website

You can then query this data and work on it.

Two common examples are:

The data can be used to train a decision tree in python.

The data can be used to model a 3D rendering of a complex animation.

PyTables examples:

PyTables Examples

By using PyTables, you can import, store and query large amounts of data in memory very quickly.
Here are a few examples of what you can do with PyTables:

PyTables examples:

PyTables Examples:

If your Python applications need to deal with large datasets, and you’re looking for a framework that makes working with such large data-sets easy, then PyTables is the answer.

PyTables can be used to perform calculations on large data sets.

It can also be used to visualize data:

PyTables can also be used to store large amounts of data, and to query the data to create an index for searching.

There are a number of modules that can be used to help you use PyTables:

PyTables modules

PyTables is a set of modules in Python that use the NumPy ( library, and a few other modules.

This includes the NumPy array module, the NumPy ctypes module, and the numpy-scipy module.

Modules used by PyTables

A list of other modules that PyTables uses

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