Here is a one-of-a-kind, intermediate-advanced course for Python programmers who want to learn
more about applying Python's most advanced features to a variety of practical problems in systems
building. The course starts with core material related to network programming and advances into
thread programming, multiprocessing, I/O handling, and distributed computation. Topics include
introduction to the Python interpreter, basic programming language features, and data processing
idioms, organizing programs into functions, modules, objects, and classes. Touring standard library
modules, basic principles of object-oriented programming, testing, and debugging. Python's
interface to the outside world and the operating system, including iterators, generators, text
processing, regular expressions, files, file system, subprocesses, and C extensions. Even the most
advanced Python programmers will walk away from this class with new insight and ideas.
Prerequisites: Experience with a programming language such as Perl, C, C++, or Java; familiar
with the basic concepts of programming such as variables, data types, statements, control-flow,
functions, arrays, data structures, and common programming problems (e.g., searching, sorting,
etc.); know how to work with files, folders, editors, command shells, environment settings, internet
connections, and other essential aspects of using a computer for software development. This is not
an introductory class for absolute beginners on how to program a computer!
About the Instructor:
David Beazley, Ph.D., M.S., author of the Python Essential Reference and nominated member of the
Python Software Foundation, is an active member of the Python community and creator of several
Python-related packages including SWIG and PLY. He worked at Los Alamos National Laboratory
where he helped pioneer the use of Python on massively parallel supercomputers. As an assistant
professor at the University of Chicago, he taught courses in operating systems, networks and
compilers. He also has extensive experience with C, C++, and assembly language programming.
Dave has a Ph.D. in computer science and a M.S. in mathematics.
To Register: Visit the Staff Development Catalog via Connect:
https://www.fin.ucar.edu/hrisConnect/employee. Log on using your UCAS (time card) log in and
password. Click “Training & Education” tab on top of page, click “Staff Development Catalog” and
search by class; click “Details” and “Enroll.” Payment instructions provided on registration site.
Seating is limited, so reserve your seat now.