Class Schedule¶
Date, Rm |
Topic |
Do Before Class |
In-Class Exercise |
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Tues, Aug 27, Rm 270 |
Intro |
N/A |
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Thurs, Aug 29, Rm CC |
Command Line Basics |
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Tues, Sep 03, Rm 270 |
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Thurs, Sep 05, Rm 270 |
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Tues, Sep 10, Rm 330 |
Numpy Basics |
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Thurs, Sep 12, Rm 270 |
Pandas: Series |
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Tues, Sep 17, Rm CC |
Pandas: DataFrames |
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Thurs, Sep 19, Rm CC |
Intro to Plotting with PlotNine |
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Tues, Sep 24, Rm 330 |
Advanced Plotting |
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Thurs, Sep 26, Rm 270 |
Pandas: Indices & Missing |
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Tues, Oct 01, Rm 270 |
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Thurs, Oct 03, Rm 330 |
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Tues, Oct 08, Rm |
FALL BREAK |
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Thurs, Oct 10, Rm 330 |
Collaborating using Github |
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Tues, Oct 15, Rm 270 |
Git and Github 2 |
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Thurs, Oct 17, Rm 330 |
Big Data: What is it, how do I work with it? |
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Tues, Oct 22, Rm 330 |
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[Discuss mid-semester project in class] |
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Thurs, Oct 24, Rm 330 |
Groupby / Split-Apply-Combine |
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Tues, Oct 29, Rm 270 |
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Thurs, Oct 31, Rm 330 |
Speed and Performance in Python |
[finish groupby and reshaping exercises] |
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Tues, Nov 05, Rm 270 |
Statistics with statsmodels |
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Thurs, Nov 07, Rm 330 |
Statsmodels Day 2 |
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Tues, Nov 12, Rm 330 |
Machine Learning with sckikit-learn |
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Thurs, Nov 14, Rm 330 |
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Tues, Nov 19, Rm 270 |
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Thurs, Nov 21, Rm 330 |
Distributed Computing, Part 1 |
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Tues, Nov 26, Rm 270 |
Distributed Computing, Part 2 |
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Thurs, Nov 28, Rm |
THANKSGIVING BREAK |
Reminders:
JVP: Python Data Science Handbook: Essential Tools for Working with Data by Jake VanderPlas.
WM: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, Second Edition by Wes McKinney.