Preliminaries
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Miscellaneous & Helpful Readings:
---How to Think Like a Computer Scientist (Learning with Python)
---OSX command line reference
---Windows command line reference
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Weeks 1 & 2:
Python & Working
with Problems Algorithmically
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Reading: Week 1: Chapters 1, 2(Campbell); Week 2: 6, 7, 13, and also 4 (time permitting)
Lectures:
---Notes for Week 1, Lecture 1
---Notes for Week 1, Lecture 2
---Notes for Week 2, Lecture 1
---Notes for Week 2, Lecture 2
Resources for Week 1, Lecture 1:
---Scripting Languages: A Cross-OS Perspective
---Homework 1
---Data for Homework 1
---Revised Homework #1 Python Script.
The Python Programming Language
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Resources for Week 1, Lecture 2:
---Scripts run in Lecture 2.
---Python Module of the Week Text
Resources for Week 2, Lecture 1:
---Homework #2
---Data for Homework #2
Resources for Week 2, Lecture 2:
--- An explanation of scope that explains some of Steve's confusion during his lecture: Python Pitfalls: Scope
--- Further discussion of Python scope stuff: Python Scopes and Name Spaces
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Week 3:
Working with Files
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Reading: Campbell chapter 8
Lectures:
Resources for Week 3:
- Homework #3 (data for the assignment is included on the assignment's page)
- Seriously, read chapter 8 in Campbell, and follow along with the examples the authors use.
- Gory details about CSV and why it's painful:
- Dive Into Python's chapter on directories and paths.
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Weeks 4 & 5:
Working with Numbers
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Reading: icebreakR (chapters 1, 3, & 6), Static Graphics (Paul Murrell)
Lectures:
Resources for Week 4, Lecture 7:
---Homework 3
---Data for Homework 3
Additional Resources for Data Visualization
---Introduction to R Graphics.
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Weeks 6 & 7:
Working with Strings
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Lectures:
Resources:
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Weeks 8 & 9:
Networks
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Lectures:
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Week 9:
Networks
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Resources:
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Week 10:
Databases
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Lectures:
Handy Resources:
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