Advanced Python Techniques

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1. IPython Notebook

Getting Started with IPython Notebook

Creating Your First IPython Notebook

IPython Notebook Modes

Useful Shortcut Keys

Markdown

Magic Commands

Getting Help

2. Advanced Python Concepts

Advanced List Comprehensions

Collections Module

Mapping and Filtering

Lambda Functions

Advanced Sorting

Unpacking Sequences in Function Calls

Modules and Packages

3. Working with Data

Databases

CSV

Getting Data from the Web

HTML

XML

JSON

4 Classes and Objects

Creating Classes

Attributes, Methods and Properties

Extending Classes

Documenting Classes

Static, Class, Abstract Methods

Decorator

5. Testing and Debugging

Creating Simulations

Testing for Performance

The unittest Module

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6. NumPy

One-dimensional Arrays

Multi-dimensional Arrays

Getting Basic Information about an Array

NumPy Arrays Compared to Python Lists

Universal Functions

Modifying Parts of an Array

Adding a Row Vector to All Rows

Random Sampling

7. pandas

Series and DataFrames

Accessing Elements from a Series

Series Alignment

Comparing One Series with Another

Element-wise Operations

Creating a DataFrame from NumPy Array

Creating a DataFrame from Series

Creating a DataFrame from a CSVl

Getting Columns and Rows

Cleaning Data

Combining Row and Column Selection

Scalar Data: at[] and iat[]

Boolean Selection

Plotting with matplotlib

8. Regular Expressions

Regular Expression Syntax

Python’s Handling of Regular Expressions

9. Unicode and Encoding

Encoding and Decoding Files in Python

Converting a File from cp1252 to UTF-8