Data Crunching: Solve Everyday Problems using Java, Python, and more.

1. Introduction
1.1. Name That Molecule
1.2. There's One in Every Crowd
1.3. And the Moral Is
1.4. Questions About Data Crunching
1.5. Road Map

2. Text
2.1. Reversing a File
2.2. Reformatting Data
2.3. Handling Multiline Records
2.4. Checking for Collisions
2.5. Including One File in Another
2.6. The Unix Shell
2.7. Very Large Data Sets
2.8. Summary

3. Regular Expressions
3.1. The Shell
3.2. Basic Patterns
3.3. Extracting Matched Values
3.4. Practical Applications
3.5. Speaking in Tongues
3.6. Other Systems
3.7. Summary

4. XML
4.1. A Quick Introduction
4.2. SAX
4.3. DOM
4.4. XPath
4.5. XSLT
4.6. Summary

5. Binary Data
5.1. Numbers
5.2. Input and Output
5.3. Strings
5.4. Summary

6. Relational Databases
6.1. Simple Queries
6.2. Nesting and Negation
6.3. Aggregation and Views
6.4. Creating, Updating, and Deleting
6.5. Using SQL in Programs
6.6. Summary

7.Horseshoe Nails
7.1. Unit Testing
7.2..Encoding and Decoding
7.3. Floating-Point Arithmetic
7.4. Dates and Times
7.5. Summary

A: Resources
A.1: Bibliography