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The Python Summer Course was a very good opportunity to know almost all about Python. ... Highly recommended!!

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Fast Code with the Cython Compiler


This course is given by a core developer of the Cython open-source project.

Target Audience

The course targets medium level to experienced Python programmers who want to break through the limits of Python performance. A basic understanding of the C language is helpful but not required.

Motivation

The Python programming language has been used successfully in a large number of application domains. Even performance critical applications, such as scientific computation frameworks or text processing applications, have been realized using Python in order to benefit from short development cycles and highly maintainable code.

However, the interpreted language also has its weaknesses. Tight algorithms in numerical computations and character processing often suffer from the overhead of object operations in arithmetic expressions or memory copies in string slicing. In high performance applications, the optimizations that can be performed at the language level may not be sufficient.

This is where the Cython programming language shows its strength. Cython is a general purpose programming language that forms a best-of-both-worlds cross between the Python language and the ubiquitous datatypes of the C/C++ language. It comes with an optimising compiler that translates Python code into C code for Python extension modules, and tightly adapts the generated code to the available static type information.

Cython code can be written as high-level Python code and manually optimised in well selected hot-spots by statically declaring data types or calling directly into external code written in C, C++ or compatible languages. This makes the entire range from simple, expressive Python code down to highly optimised, low-level C code available for programming in a single language.

The objective of this course is to get to know the Cython language, and to learn how to use it to speed up Python code by orders of magnitude. You will also learn how to wrap external C libraries to efficiently and comfortably use them from Python.

Content

My first Cython extension

  • using pyximport to quickly (re-)build extension modules
  • using cython.inline() to compile code at runtime
  • building extension modules with distutils

Speeding up Python code with Cython

  • fast access to Python's builtin types
  • fast looping over Python iterables and C types
  • string processing
  • fast arithmetic
  • incrementally optimizing Cython code
  • multi-threading outside of the GIL (Global Interpreter Lock)

Interfacing with external C code

  • calling into external C libraries
  • building against C libraries
  • writing Python wrapper APIs
  • calling C functions across extension module boundaries

Case studies

The participants are encouraged to send in short code examples from their own experience that they would like to see running faster by using Cython. Based on general interest and practicality, one or two of these examples will be examined as a case study. These examples must be available to the teacher at least one week before the course, and must be short but complete executable examples, including sufficient input data for benchmarking. Please be aware that example code that requires a substantial amount of explanation or background knowledge about a specific application domain will not be accepted.

Course Duration

1 day

Exercises

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.

Course Material

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 PythonCamp 2012.

[PythonCamp 2012]

The Python Academy is sponsor of EuroPython 2012.

[EuroPython 2012]

The Python Academy is sponsor of EuroSciPy.

[EuroSciPy 2012]

News


Python Academy sponsors EuroPython conference 2012
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Python Academy sponsors EuroSciPy conference 2012
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Python Academy sponsors PyCon DE conference 2012
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Next Meeting of Leipzig Python User Group, May 8, 2012
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Course: "Python für Nicht-Programmierer" (German) in Leipzig April 15 - 18, 2012
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Course: "Python für Programmierer" (German) in Leipzig April 16 - 18, 2012
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Course: "Python für Wissenschaftler und Ingenieure" (German) in Leipzig April 19 - 21, 2012
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Course: "Einstieg in Django" (German) in Leipzig April 23 - 25, 2012
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Course: "Django für Fortgeschrittene" (German) in Leipzig April 26 - 27, 2012
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Python for Non-Programmers (English) in Leipzig June 4 - 7, 2012
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Python for Programmers (English) in Leipzig June 5 - 7, 2012
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Python Power Course (English) in Leipzig June 8 - 15, 2012
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Advanced Python (English) in Leipzig June 8 - 10, 2012
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High-Performance Computation with Python (English) in Leipzig June 11 - 15, 2012
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PyPy Sprint in Leipzig June 22 - 27, 2012
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Advanced Python at EuroPython (English) in Florence, Italy July 7, 2012
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Introduction to Django (English) in Leipzig October 15 - 17, 2012
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Advanced Django (English) in Leipzig October 18 - 20, 2012
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Python Academy founder receives PSF Community Service Award
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