Overview
This 4 day course picks up where Introduction to Python 3.x leaves off, covering some topics in more detail, and adding many new ones, with a focus on enterprise development. This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by lab exercises. Many labs build on earlier labs, which helps students retain the earlier material.
Target Student:
Advanced users, system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts.
Prerequisites:
All students should be able to write simple Python scripts, using basic data types, program structures, and the standard Python library.
Description
Topics:
Python Refresher
• Variables
• Basic Python Data Types
• Sequences
• Mapping Types
• Program Structure
• Files And Console I/O
• Conditionals
• Loops
• Builtins
OS Services
• The OS Module
• Paths, Directories, and Filenames
• Environment Variables
• Launching External Programs
• Walking Directory Trees
• The Datetime Module
• The Calendar Module
• Name Resolution (AKA Scope)
• Python Style
Classes
• Defining Classes
• Instance Objects
• Instance Attributes
• Instance Methods
• __Init__
• Properties
• Class Data
• Class Methods
• Inheritance
• Multiple Inheritance
• Using Super ()
• Special Methods
• Class-Private Variables
• Static Methods
Metaprogramming
• Globals() and Locals()
• Working with Attributes
• The Inspect Module
• Decorator Functions
• Decorator Classes
• Decorator Parameters
• Creating Classes At Runtime
• Monkey Patching
Developer Tools
• Program Development
• Comments
• Pylint
• Customizing Pylint
• Using Pyreverse
• The Unittest Module
• Fixtures
• Skipping Tests
• Making a Suite of Tests
• Automated Test Discovery
• Using Nose
Network Programming
• Sockets
• Socket Options
• Client Concepts
• Server Concepts
• Application Protocols
• Forking Servers
• Grabbing Html from The Web
• Consuming Web Services
• Web Data the Easier Way
• Sending Email
• Binary Data
• The Struct Module
Multiprogramming
• What Are Threads?
• The Python Thread Manager
• The Threading Module
• Threads for the Impatient
• Creating a Thread Class
• Variables Sharing
• Using Queues
• Debugging Threaded Programs
• The Multiprocessing Module
• Alternatives to Multiprogramming
System Administration and Scripting
• The Subprocess Module
• Subprocess Convenience Functions
• Using the Sh Module
• Permissions
• Saving Information
• Creating a Useful Command Line Script
• Creating Filters
• Parsing the Command Line
• Simple Logging
• Logging Levels
• Formatting Log Entries
• Logging to Other Destinations
Pythonic Programming
• The Zen of Python
• Common Python Idioms
• Unpacking Function Arguments
• Lambda Functions
• List Comprehensions
• Iterables
• Writing Generators
• String Tricks
• String Formatting
Modules
• Using Import
• Module Search Path
• Namespaces
• Executing Modules as Scripts
• Packages
• Configuring Import With __Init__.Py
• The Python Debugger
• Starting Debug Mode
• Stepping Through a Program
• Setting Breakpoints
• Profling
• Benchmarking
Database access
• The DB API
• Available Interfaces
• Connecting to a server
• connect() examples
• Creating a cursor
• Executing a statement
• Parameterized statements
• Dictionary cursors
• Metadata
• Transactions
• Object-relational mappers
PyQt4
• Event Driven Applications
• Gui Application Flow Chart
• External Anatomy of a Pyqt4 Application
• Internal Anatomy of a Pyqt4 Application
• Using Designer
• Anatomy of a Designer-Based Application
• Naming Conventions
• Common Widgets
• Layouts
• Selectable Buttons
• Actions and Events
• Menu Bar
• Status Bar
• Using Predefned Dialogs
• Creating Custom Dialogs
• Tabs
• Niceties
• Working with Images
• Complete Example
XML and JSON
• About Xml
• Normal Approaches to Xml
• Which Module to Use?
• Getting Started With ElementTree
• How ElementTree Works
• Creating a New Xml Document
• Parsing an Xml Document
• Navigating the Xml Document
• Using XPath
• Advanced XPath
• About JSON
• Reading JSON
• Writing JSON
Extending Python with C
• Why Extend Python?
• Ways to Extend Python With C
• Hand-Coded C
• Overview
• The C Program
• Methods
• The Method Table
• The Init Function
• Handling Errors
• Custom Exception Objects
• Putting It All Together
• Using SWIG
• The Interface Fle
• Generating the Wrappers
• Building and Installing The Extension
• Ctypes
• For More Information
