[ PYTHON NETWORKS, CONCURRENCY, AND DISTRIBUTED SYSTEMS ]
A one-of-a-kind course that is focused on using Python to build distributed systems. Topics include socket programming, internet data handling (XML, JSON, etc.), simple web programming, WSGI, REST, actors, remote procedure call (RPC), message passing, map-reduce, distributed objects, and asynchronous I/O. The course also includes material on concurrent programming techniques including threads, processes, and multiprocessing. A major focus of this course is on the underlying principles that form the foundation of the programming frameworks and applications that you may be using now--you will walk away with new insight and ideas for improving your code.
This course is also offered on an on-going basis in Chicago.
The course is designed to be taught on a 9-5 schedule with a one hour lunch break. This course consists of both lecture slides and hands-on programming exercises, with most of the time spent programming. Participants should plan on spending 4-5 hours each day working on exercises.
This course assumes a working knowledge of Python programming. Students should already know know to write and debug programs and be familiar with core language features such as functions, classes, modules, and the most commonly used modules in the standard library. Given that the topics in this course are heavily focused on networking and systems programming, students are well-advised to have some prior background working with processes, threads, and network programming.
About the Instructor
All courses are taught by David Beazley, author of the Python Essential Reference and nominated member of the Python Software Foundation. David has been an active member of the Python community since 1996 and is the creator of several Python-related packages including SWIG and PLY. From 1990-1997, he worked part time at Los Alamos National Laboratory where he helped pioneer the use of Python on massively parallel supercomputers. From 1998-2005, he was an assistant professor in the department of computer science at the University of Chicago where he taught courses in operating systems, networks, and compilers. In addition to his work with Python, Dave has extensive experience with C, C++, and assembly language programming. Dave has a Ph.D. in computer science and a M.S. in mathematics. An academic CV is available upon request.
The class is best suited for 10 or fewer students. A larger class size is possible, but due to the advanced nature of the material it should not exceed 16 students.
You are responsible for providing the instruction space, a video projector, and machines where students can work on the programming exercises. The course can be taught on Windows, Linux, or Mac OS-X. However, all machines must be equipped with the latest version of Python (currently Python 2.6) and may required a small set of third-party libraries.
2013 Schedule and pricing
Classes are normally scheduled at least 8 weeks in advance. However, classes in the Chicago area can often be scheduled on shorter notice depending on availability.
The cost of Python Networks, Concurrency, and Distributed Systems with up to 10 students is $15000. This is an all-inclusive price that includes instructor travel expenses. Additional students can be added for $1200/student.
For more information, you can contact me by sending email to "dave" at "dabeaz.com".