Fast Track to Python - Session 3

Space is limited for Session 3

We only got the 2nd floor community room this week, so it'll be a little tighter squeeze. If we run out of room, there will be overflow seating in Synapp.io's offices by the elevators, or you can join us online at https://plus.google.com/u/1/events/celar2u7klnr6vgo575t3vtopg0

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 3: More Advanced Python Syntax and Packaging

Lecture 9: Generators and iterators

Exercise 9: Generators and iterators

Exercise 9.1: iter(), iter, and next()

Exercise 9.2: the yield statement

Exercise 9.3: generator expressions

Lecture 10: Context managers

Exercise 10: Context managers

Exercise 10.1: The ‘with’ statement

Exercise 10.2: contextlib.closing

Exercise 10.3: enter and exit

Exercise 10.4: Using contextlib.contextmanager

Lecture 11: Packaging with Setuptools/Distribute

Exercise 11: Packaging your code

Exercise 11.1: Creating a project structure

Exercise 11.2: Uploading packages to PyPI

Exercise 11.3: Using entry points to make your package discoverable

Exercise 11.4: Customizing your package with scripts & data

Lecture 12: Virtual environments

Exercise 12: Virtual environments

Exercise 12.1: Installing virtualenv

Exercise 12.2: Using pip install, pip uninstall

Exercise 12.3: Distributing your own code

Exercise 12.4: Exploring the python package index