macheng94/ucsl17

Content for CUSP UCSL bootcamp 2017

Urban Computing Skills Lab

(Work in Progress)

Table Of Contents

Welcome

0. Introduction to Notebook and beyond

• Setting up your environment
• Getting familiar with Notebook
• Basic Python Syntax

1. Introduction to Python

• Variables and Operators
• Built-in Types
• Built-in Data Structures

2. Python in Practice

• Control-Flow
• Functions
• Errors and Exceptions
• Modules and Packages

3. Introduction to Numpy

• Basics of Numpy arrays
• Universal functions
• Min to Max
• Fancy Indexing

4. Introduction to Matplotlib

• Intro to Visualization
• Basic Plotting and Seaborn
• Histograms
• Subplots
• Text Ticks and Annotations
• rcParams/ Style sheets

5. Introduction to Statistics*

• Probabilities and Probability Distribution
• Introduction to Linear Algebra 1 & 2
• Bayes Theorem
• Optimization

6. Pandas

• Series, Dataframe and Index
• Indexing and Selecting data
• GroupBy - Aggregate, Filter, Transform, Apply
• Pivot Tables
• Time series analysis

License

Text and Code

The text material in this repository including all code samples in the notebooks listed above are released under the MIT License.

* Work in collaboration with Dr. Federica Bianco and Dr. Stanislav Sobolevsky