What customers say ...
The course "Python for Scientists and Engineers" is a very useful introduction to Python programming for scientific applications ...
Dr. Mihai Duta, Oxford Supercomputing Centre, UK more...
[The trainer] knows well what scientists need, so his hints are very practical and valuable. The hands-on course [..] covers a wide range of examples and will be very helpful in my daily work. ..
Dorota Jarecka, University of Warsaw, Poland about the course "Python for Scientists and Engineers" more...
Mike is a great professor. He has an amazing knowledge of Python. It has been a pleasure to be his student for 3 days!
David Doblas about the course "Python for Scientists and Engineers" more...
Highly recommended. Many aha-experiences and took home many positive inspiratons.
Helmut Dittrich, CEO DiFis-Engineering UG, arrow-fix.com, about the German introduction to Django "Django für Fortgeschrittene" more...
A training with excitement and content, energized and rich, and always focused on the essentials. Thank you very much! Excellent trainer, anytime again!
Martin Volbes GAD eG about the course "Fortgeschrittene Programmierung in Python" more...
High Performance XML with Python
Dates for Open Courses
Course available as open and in-house training. Currently no dates for open courses. Please ask us at firstname.lastname@example.org
This course is given by the main author of lxml_, the leading XML library for Python.
The course targets medium level to experienced Python programmers who want to generate and/or process XML (and, to some extend, HTML) content efficiently. A basic understanding of XML is helpful but not required.
Since its early beginnings in 1998, the eXtensible Markup Language, XML, has grown into a standard markup language family for portable data formats. The major document formats, such as the Open Document Format (ODF) known from OpenOffice, or Microsoft's so-called OpenXML format, are based on XML, just like many application level networking protocols such as XML-RPC, SOAP or Jabber/XMPP. Many interfaces of business applications use either standardized, proprietary or ad-hoc XML formats, and their configuration files are often written in XML, too. And clearly, XML has left its fingerprint on the web through RSS/Atom feeds, Ajax interfaces and configurable browser GUIs (XHTML/XUL).
The support of XML in programming languages has constantly improved over the last decade. Today, developers can grab very efficient tools from their tool box that substantially simplify XML handling. Not surprisingly, the Python programming language has some very powerful tools available that often even beat their main contenders from the Java world in terms of performance, and easily in terms of usability.
The objective of this course if to get an understanding of important XML technologies, and to learn how to use the available tools by example.
Initially, the course will build up a common understanding of XML (specifically the XML Infoset) and some of its applications. The main theme then deals with efficient processing of XML (and a bit of HTML) in Python.
The presented tool set includes the ElementTree library that comes with Python since version 2.5, and the freely available lxml library that combines a compatible Python API with a large set of additional XML features.
Introduction to XML
- XML and the XML Infoset
- XML Namespaces
- Dealing with XML formats
Fast XML processing
- Parsing and serializing XML files
- Extracting information from XML documents (tree navigation, XPath, CSS selectors)
- Processing and transforming XML documents in main memory
- Generating XML documents
- Stream processing of large XML files that do not fit into main memory
- Creating proprietary XML formats
- Validating XML formats with schema languages (e.g. RelaxNG, Schematron)
- Binding XML documents to Python objects (lxml.objectify)
- Creating application specific XML APIs with lxml
- Introduction to stylesheet transformations (XSLT processing)
Note that the advanced topics are subject to time constraints. A choice will be made based on the interest of the participants.
The participants can follow all steps directly on their computers. There are exercises at the end of each unit providing ample opportunity to apply the freshly learned knowledge.
Every participant receives comprehensive printed materials that cover the whole course content as wells a CD with all source codes and used software.
The Python Academy is sponsor of Python Unconference 2015.
The Python Academy is sponsor of EuroSciPy 2015.
The Python Academy is sponsor of EuroPython 2015.
The Python Academy is sponsor of PyData Berlin 2015.
The Python Academy is sponsor of PyCon Montréal 2015.
The Python Academy is sponsor of Python BarCamp Köln 2015.
The Python Academy is sponsor of Chemnitzer Linux-Tage 2015.
The Python Academy is sponsor of Django Girls Wroclaw 2015.
The Python Academy is sponsor of PyCon Ireland 2014.
The Python Academy is sponsor of EuroSciPy 2014.
The Python Academy is sponsor of PyData London 2014.
The Python Academy is sponsor of EuroPython 2014.
The Python Academy is sponsor of PyCon 2014 Montréal.
The Python Academy is sponsor of Python BarCamp Köln 2014.
The Python Academy is sponsor of PyConDE 2013.
The Python Academy is sponsor of EuroPython 2013.
The Python Academy is sponsor of PyCon US 2013.
The Python Academy is sponsor of EuroSciPy 2013.
The Python Academy is sponsor of PyConPL 2012.
The next open cousers
Python Academy sponsors EuroPython conference 2013
Python Academy sponsors EuroSciPy conference 2013
Python Academy sponsors Python BarCamp in Cologne
Next Meeting of Leipzig Python User Group, November 12, 2013
Introduction to Django, November 11 - 13, 2013
Professional Testing with Python, November 25 - 27, 2013
Advanced Django, January 13 - 15, 2014
Python Academy sponsors PyCon US conference 2013
Python Academy founder receives PSF Community Service Award