3.1   Python training and instruction

I've developed a course for beginning Python programming. The course notes should be usable as a self-training document. I can also deliver the course in person for a fee.

The Python course notes are here: Python Course Notes

3.2   A Python book

I've collected my Python course notes plus some advanced examples plus a workbook with exercises into a book. You can find it here:

• In HTML that you can browse online: http://www.davekuhlman.org/python_book_01.html
• In PDF: http://www.davekuhlman.org/python_book_01.pdf
• In paper -- You can order a copy at Lulu (but that version is not up-to-date): http://www.lulu.com/shop/dave-kuhlman/a-python-book/paperback/product-20077539.html
• A version for LibreOffice/OpenOffice: http://www.davekuhlman.org/python_book_01.odt

3.3   Materials for Python training

These are the materials that I use while teaching a course on beginning Python programming. The README file contains guidance about its contents:

• Compressed tar -- http://www.davekuhlman.org/materials_20140728.tar.xz
• Zipped -- http://www.davekuhlman.org/materials_20140728.zip
• Or, you can clone the Mercurial repository that is located here: https://bitbucket.org/dkuhlman/python_training_materials

Please feel welcome to use them to conduct training yourself, or to help learn Python.

3.4   generateDS.py

generateDS.py generates Python data bindings from the element type definitions in an XML Schema. Read this for details: http://www.davekuhlman.org/generateDS.html

You can find the source code distribution and learn more about generateDS.py here:

• At Bitbucket: https://bitbucket.org/dkuhlman/generateds
• At the Python Package Index: https://pypi.python.org/pypi/generateDS
• At SourgeForge.net: http://sourceforge.net/projects/generateds/

There is also a mailing list: https://sourceforge.net/p/generateds/mailman/

3.5   Numpy, SciPy, etc

Here are some notes on using Numpy, SciPy, and a few other packages for processing numerical data with Python: http://www.davekuhlman.org/scipy_guide_01.html

3.6   ODF writer for Docutils

rst2odt.py is a writer for Docutils that translates reST (reStructuredText) into an ODF (Open Document Format) .odt file which is usable with the OpenOffice.org toolset.

Documentation -- You can learn more about odf-odt writer at the Docutils project here: Odt Writer for Docutils -- http://docutils.sourceforge.net/docs/user/odt.html.

Distribution -- odf-odt writer is available in the Docutils snapshot and from the Docutils Subversion repository. See: Docutils

3.7   A few Python utilities

Here are a few utilities that I've written in Python:

• Search for an xpath pattern in multiple XML files, optionally in subdirectories, too -- http://www.davekuhlman.org/searchxml.py
• Display a directory tree starting at the current directory or at a directory specified on the command line -- http://www.davekuhlman.org/dirtree.py
• Display the links in a (remote) Web page, and optionally in linked pages to a specified depth. Illustrates simple use of BeautifulSoup -- http://www.davekuhlman.org/showlinks.py

Here are a few utilities written in Python for dealing with HDF5 data files: http://www.davekuhlman.org/hdf5_python_utilites.zip

4.1   Websocket controller for ChicagoBoss

This project provides a template for implementing a Websocket controller for ChicagoBoss. You can find it at Github: https://github.com/dkuhlman/cb_websocket_controller

4.2   Erlport templates for Python

This package contains a set of templates that can be used to interface Erlang to Python using Erlport. You can find it at Github: https://github.com/dkuhlman/erlport_templates

Notice: This code is for an earlier version of erlport. While I believe that these templates can be of interest to those developing capabilities to employ Python code with high concurrency, it is not likely that you will be able to use this code with the latest version of erlport without servious modification.

See here for more on erlport: https://github.com/hdima/erlport.git

4.3   N2O Web framework

I've started working with N2O. I'd like to learn how to use it to push analytical results computed with Python and Numpy/SciPy etc to Web pages where, for example, that data can be graphed with d3js (http://d3js.org/). Things look promising so far.

Here are a few beginners notes on developing Web apps with N2O: http://www.davekuhlman.org/n2o_howto.html.

5.1   Ruby training and instruction

Note: Work in progress. I'm still learning Ruby.

I've developed a course for beginning Ruby programming. The course notes should be usable as a self-training document. I can also deliver the course in person for a fee.

The Ruby course notes are here: Ruby Course Notes

6.1   Python data bindings for XML schema

See generateDS.py elsewhere in this document.