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QB3 Python Bioinformatics Course 2010 - home

Skip to main content. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. 1 What Python Can Do for You. Why we program; what we're learning; what we're not. The very basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. 3 Making the Computer Make Decisions. Logical tests and the Nature of Truth. 4 Reading, Writing, Using LOTS of Data; and Using Other People's Code. Files: Readin' 'Em and Writin' 'Em. Turn off "Gettin...

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Skip to main content. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. 1 What Python Can Do for You. Why we program; what we're learning; what we're not. The very basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. 3 Making the Computer Make Decisions. Logical tests and the Nature of Truth. 4 Reading, Writing, Using LOTS of Data; and Using Other People's Code. Files: Readin' 'Em and Writin' 'Em. Turn off Gettin...
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QB3 Python Bioinformatics Course 2010 - home | intro-prog-bioinfo-2010.wikispaces.com Reviews

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Skip to main content. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. 1 What Python Can Do for You. Why we program; what we're learning; what we're not. The very basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. 3 Making the Computer Make Decisions. Logical tests and the Nature of Truth. 4 Reading, Writing, Using LOTS of Data; and Using Other People's Code. Files: Readin' 'Em and Writin' 'Em. Turn off "Gettin...

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QB3 Python Bioinformatics Course 2010 - Session 6.2

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Skip to main content. Wikispaces Classroom is now free, social, and easier than ever. Try it today. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. What to Do When You Don't Know What to Do: the interpreter, the debugger, and some useful resources. Python interpreter, help(). IPython configuration, history, saving settings and history. The Python Debugger: PDB. How to use the debugger within scripts and within the interpretter. Using the debugger with exceptions. We'll start...

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QB3 Python Bioinformatics Course 2010 - Session 6.1

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Skip to main content. Get your Wikispaces Classroom now:. The easiest way to manage your class. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. Beyond learning programming: how to write programs. By now you've read the relevant papers describing the 21 genomes of. Why is this interesting? What did they do? Stubbing and the 'pass' statement. When we write complicated code, we need to decompose it into simpler parts. This is an intuitive concept, and one that we've touched...

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QB3 Python Bioinformatics Course 2010 - Session 4.2

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Skip to main content. Try Wikispaces Classroom now. Brand new from Wikispaces. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. Functions, modules, and pickles. Making your own libraries. Pickles and quick data storage. This afternoon we'll concentrate on our last fundamental programming concept for the course. To date, we've been writing all of our program logic in the main body of our scripts. And we've seen how built-in python functions. Functions are the basic means to ma...

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QB3 Python Bioinformatics Course 2010 - Session 2.2

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Skip to main content. Wikispaces Classroom is now free, social, and easier than ever. Try it today. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. Lists of Dictionaries, vice-versa. Nested more of more of more of data structures. Let's say that you have a dictionary. In fact, let's say that you are a. Of English dictionaries, and you have all of them, from Cawdrey's 1604. We have many dictionaries, each with many words; could we use what we've learned of lists. Informative ...

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QB3 Python Bioinformatics Course 2010 - Session 8.2

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Skip to main content. Try Wikispaces Classroom now. Brand new from Wikispaces. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. First, a little bit about documentation. I'm going to go over a couple of commonly used (or at least cool) functions from a module called MatPlotLib. There is some decent (not amazing) documentation on-line http:/ matplotlib.sourceforge.net/index.html. In particular, you want to check out the gallery as each image has the code used to generate it.

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Curriculum Vitae - Peter Combs

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The Hamming Test (2013). 149; Curriculum Vitae. Peter A. Combs. 378G Stanley Hall, MC 3220. Berkeley, CA 94705. University of California, Berkeley, CA. PhD in Biophysics. 2009-Present. Anticipated Graduation date Winter 2014. Dissertation Title: Genome-wide Spatial Patterning Data Reveal Mechanisms of Gene Regulation; Advisor: Michael Eisen. Princeton University, Princeton, NJ. AB in Physics. With certificate in Quantitative and Computational Biology. Head Teaching Assistant, The Summer Science Program.

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Skip to main content. Get your brand new Wikispaces Classroom now. And do "back to school" in style. This is a student-run introductory programming class for biologists at UC Berkeley. The course was taught over a period of two weeks, 9am-5pm, with a one-hour lecture, followed by 2.5 hours of exercises, lunch, another 1-hour lecture, and 2.5 more hours of exercises. 1: UNIX and Perl 1. Introduction to linux(LT): navigation, basic commands, piping/redirection. Perl Hello World, Variables, I/O (JF). Module...

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QB3 Python Bioinformatics Course 2010 - home

Skip to main content. QB3 Python Bioinformatics Course 2010. QB3 Python Bioinformatics Course 2010. 1 What Python Can Do for You. Why we program; what we're learning; what we're not. The very basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. 3 Making the Computer Make Decisions. Logical tests and the Nature of Truth. 4 Reading, Writing, Using LOTS of Data; and Using Other People's Code. Files: Readin' 'Em and Writin' 'Em. Turn off "Gettin...

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QB3 Python Bioinformatics Course 2011 - home

Skip to main content. Wikispaces Classroom is now free, social, and easier than ever. Try it today. QB3 Python Bioinformatics Course 2011. QB3 Python Bioinformatics Course 2011. 1 What Python Can Do for You. Why We Program; What We're Learning; What We're Not. The Very Basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. 3 Making the Computer Make Decisions. Logical Tests and the Nature of Truth. Files: Readin' 'Em and Writin' 'Em.

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QB3 Python Bioinformatics Course 2012 - home

Skip to main content. Get your Wikispaces Classroom now:. The easiest way to manage your class. QB3 Python Bioinformatics Course 2012. QB3 Python Bioinformatics Course 2012. 1 What Python Can Do for You. Why We Program; What We're Learning; What We're Not. The Very Basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. Tests, Loops, and Escapes. 3 Making the Computer Make Decisions. Fancy Data Structures: Nested Loops. Numpy, Scipy, and Pylab.

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intro-prog-bioinfo-2013 - home

Skip to main content. Get your Wikispaces Classroom now:. The easiest way to manage your class. 1 What Python Can Do for You. Why We Program; What We're Learning; What We're Not. The Very Basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. Tests, Loops, and Escapes. 3 Making the Computer Make Decisions. Fancy Data Structures: Nested Loops. Reading and Writing from Files. 4 Reading, Writing, Using LOTS of Data; and Using Other People's Code.

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intro-prog-bioinfo-2014 - home

Skip to main content. Wikispaces Classroom is now free, social, and easier than ever. Try it today. 1 What Python Can Do for You. Why We Program; What We're Learning; What We're Not. The Very Basics: Hello, World! Variables, and Printing. 2 Organizing and Storing Data. Lists, Dictionaries, Tuples, and Sets. Tests, Loops, and Escapes. 3 Making the Computer Make Decisions. Fancy Data Structures: Nested Loops. Reading and Writing from Files. Functions, Modules, and Code Reuse. Numpy, Scipy, and Pylab.

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