Advanced Python Training: Advanced Python Programming

Course Number: PYTH-102
Duration: 4 days
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Advanced Python Training Overview

Once students have mastered the basics of Python via Accelebrate's introductory Python course or their own work, it's time to move on to applying Python to daily programming needs. This course picks up where Introduction to Python Programming left off, covering some topics in more detail, and adding new ones. For instance, regular expressions and classes are covered extensively, with network programming (FTP, Web client and server), graphical programming, database access, and other areas of general need.

This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by graduated lab exercises.

Location and Pricing

Most Accelebrate courses are taught on-site at our clients' locations worldwide for groups of 3 or more attendees and are customized to their specific needs. Please visit our client list to see organizations for whom we have recently delivered training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote private training at your site or online, please contact us.

Advanced Python Training Prerequisites

All Advanced Python training students should be able to write simple Python scripts, using basic data types, program structures, and the standard Python library.

Hands-on/Lecture Ratio

This advanced Python training class is 70% hands-on, 30% lecture, with the longest lecture segments lasting for 15 minutes. Students "learn by doing," with immediate opportunities to apply the material they learn to real-world problems.

Advanced Python Training Materials

All Advanced Python training students receive a copy of O'Reilly's Python Cookbook and related courseware.

Software Needed on Each Student PC

The following should be installed on each student PC:

Python 2.6 (available from http://www.python.org/ or http://www.activestate.com/Products/ActivePython/
Any good text editor (vim and/or emacs recommended under Unix; vim, TextPad recommended for Windows)
Any Windows (2000/XP/2003/Vista/7) or Unix/Linux operating system
Any robust text editor (vim and/or emacs recommended under Unix; TextPad, UltraEdit, and vEdit are good choices for Windows)

Advanced Python Training Objectives

All attendees will learn to:

Process text using regular expressions
Leverage OS services
Perform basic graphics programming
Create modules
Test and debug applications
Take advantage of Python's object-oriented features
Interact with network services such as FTP and SMTP
Query databases
Process XML data
Work with JSON
Use the sh module

Advanced Python Training Outline

Python refresher

Data types
Sequences
Mapping types
Program structure
Files and console I/O
Conditionals
Loops
Builtins

OS Services

The os module
Environment variables
Launching external commands
Walking directory trees
Paths, directories, and filenames
Working with file systems
Dates and times

Pythonic Programming

The Zen of Python
Common idioms
Lambda functions
List comprehensions
Generator expressions
String formatting

Modules and packages

Initialization code
Namespaces
Executing modules as scripts
Documentation
Packages and name resolution
Naming conventions
Using imports

Classes

Defining classes
Instance methods and data
Initializers
Class methods
Static methods
Inheritance
Multiple inheritance
Pseudo-private variable

Metaprogramming

Implicit properties
globals() and locals()
Attributes
The inspect module
Decorators
Monkey patching

Programmer tools

Analyzing programs
Using pylint
Testing code
Using unittest
Debugging
Profiling

Distributing modules

Distribution concepts
setuptools
creating setup.py
building installers
running installers

Database access

The DB API
Available Interfaces
Connecting to a server
Creating and executing a cursor
Fetching data
Parameterized statements
Metadata
Transaction control

GUI Programming

Overview
The mainwindow object
Widgets
Colors and fonts
GUI layout
Event handling

Network Programming

Sockets
Clients
Servers
Application protocols
Forking servers
Threaded servers
Binary data
The struct module

Threads

Why use threads?
Threads are different
Variables are shared
Python threads modules
The threading module
The queue module
The python thread manager
Debugging threaded programs

XML and JSON

Working with XML
DOM and Sax
Introducing ElementTree
Parsing XML
Navigating the document
Creating a new XML document
JSON
Parsing JSON into Python
Converting Python into JSON

Extending Python

About non-Python modules
Overview of a C extension
Creating functions
Registering functions
Initialization code
Loading the module

Using the sh module

The sh namespace
Running a simple command
Keyword arguments
Running commands in the background
Piping and redirection
Working with STDIN
Exit codes
Advanced features

Conclusion

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“Accelebrate,” “Accelerated Learning Celebrated Results,” and the Accelebrate logo are registered trademarks of Accelebrate, Inc. All other product names and trademarks are property of their respective owners. Course outline content may mirror or be derived from the book that each student receives with the course. Otherwise, all content is copyright © 2003- by Accelebrate, Inc. of Atlanta, Georgia, USA. To contact us, please use the contact form, email info@accelebrate.com us, or call 1 877 849 1850 in the US and Canada, 0808 234 2132 in the UK, 1 800 550 311 in Ireland, or +1 678 648 3113 from all other locations.