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Community Data Science Course (Spring 2017)
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=== Week 1: March 30 === '''Readings:''' * Python for Informatics: [http://www.pythonlearn.com/html-009/book001.html Preface] and [http://www.pythonlearn.com/html-009/book002.html Chapter 1 Why should you learn to write programs?] '''Class Schedule:''' * Class overview and expectations β We'll walk through this syllabus. * [[Community_Data_Science_Course_%28Spring_2017%29/Day_1_Exercise|Day 1 Exercise]] β You'll install software including the Python programming language and run through a series of exercises. * [[Community_Data_Science_Course_%28Spring_2017%29/Day_1_Tutorial|Day 1 Tutorial]] β You'll work through a self-guided tutorial introducing you to some basic concepts. When you're done, you'll meet with me and I'll check you off. * A few interesting links we discussed in class are [[Community_Data_Science_Course_%28Spring_2017%29/DataSources|here]] * Hints ** For exercise 5, look at chapter 3 of the textbook. This introduces "if" statements. '''By the end of class you will:''' * Have a working python environment on your personal laptop. * Have written your first program in the python language.
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