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Published on Oct 25, 2008
Dr. Julius B. Lucks (University of California, Berkeley)
Any cutting-edge scientific research project requires a myriad of computational tools for data generation, analysis and visualization. Python is a flexible and extensible scientific programming platform that offered the perfect solution in our recent comparative genomics investigation (http://arxiv.org/abs/0708.2038). In this talk, I discuss the challenges of this project, and how the combined power of Biopython (http://biopython.org), SWIG (http://www.swig.org) and Matplotlib (http://matplotlib.sourceforge.net) were a perfect solution. I finish by discussing how python promotes good scientific practice, and how its use should be encouraged within the scientific community.