Effective Python

Modern String Formatting

Built-in Functions and

Pre-installed Modules for

• Data Processing Techniques

Managing Module Search Path

Data Transformations

Data Aggregations

• • All done using complex

  • List Comprehensions and

  • Dictionary Comprehensions

Defaultdict

Counter

Classes and Objects

Attribute Access using special methods

Inheritance

Composition

Polymorphism

Attribute management

Encapsulation

Internals of Python's Object Oriented structure

Decorated Methods

Industry Best Practices for

• Creating User Defined Exceptions

• Handling Exceptions

• Forwarding Exceptions

Generators

Generator Expressions

User Defined Iterators

Function Variable Arguments

Lambda Functions

Closures

Decorators

Properties

Logging

Unit Testing

Packaging

Creating library functions

• Generic enough to handle multiple use cases using

• A collection of functions and

• Top level functions

Creating extendable classes for

• Ease of Data management, and

• Memory management