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Introduction to scientific programming in Python

Course overview

Foundations

Introduction
Data types and statements
Functions and conditional execution
Advanced data types: lists, tuples, sets, dictionaries
Modules, file I/O (input/output)
More on functions, loops, dictionaries, and files

Extended basics

For efficiency’s sake: structured programs, packages, regular expressions
Classes
Recursion and trees

Applications

Processing corpus data using NLTK, numpy, and matplotlib
Programming in experimental research

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By Juliane Schwab, Michael Franke & Todd Snider

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