Fast Track to Python - Session 2

Prerequisites

Experience in some other programming language, Python experience not required. If you want to follow along with the exercises, bring along a laptop.

Description

This 5 session class introduces you to the Python programming language, quickly introducing you to the main points of the language and moving on to advanced Python constructs and some of the most important libraries.

In this class you’ll learn

• Basic Python syntax

• Modularity in Python

• Basic text processing

• Python support for object-oriented programming

• Python support for resource management and iteration

• Packaging your code for reuse and distribution

• Concurrent programming

• Network and web programming

• Python unit testing

Session 2: Advanced Python Syntax

Lecture 4: Using Modules

Exercise 4: Using modules

Exercise 4.1: Using the sys module

Exercise 4.2: Exploring the system using the os module

Exercise 4.3: Using the math module

Exercise 4.4: Working with dates and times

Exercise 4.5: Faking files with StringIO

Exercise 4.6: Using the pdb debugger

Exercise 4.7: Using introspection to explore hashlib

Exercise 4.8: Building your own module

Exercise 4.9: Building your own package

Lecture 5: String processing in Python

Exercise 5: Strings

Exercise 5.1: String interpolation

Exercise 5.2: Simple string operators

Exercise 5.3: Regular expressions with the re module

Lecture 6: Modularity

Exercise 6: Packages and modules

Exercise 6.1: Building a module

Exercise 6.2: Building a package

Lecture 7: Object-oriented programming

Exercise 7: Object-oriented programming

Exercise 7.1: Defining a class

Exercise 7.2: Exploring inheritance

Exercise 7.3: Method access, visibility, and conventions

Exercise 7.4: Magic methods overview

Lecture 8: Decorators

Exercise 8: Decorators

Exercise 8.1: Log all calls to a function

Exercise 8.2: Parametrically log calls to a function

Exercise 8.3: Class decorators: log calls to all public methods