Python II Applied Python

Course Details

• Python Refresher
• Variables
• Python Data Types
• Sequences
• Mapping Types
• Program Structure
• Files an Console I/O
• Conditionals
• Loops
• Defining a Function
• Function Parameters
• Builtins
• OS Services
• The os Module
• Environment Variables
• Launching external programs
• Paths, Directories and Filenames
• Walking Directory Trees
• Dates and Times
• The Time Module
• The Calendar Module
• Pythonic Programming
• Common Python Idioms
• Slicing and Dicing
• Unpacking Function Arguments
• Lambda Functions
• Nested Functions
• List Comprehensions
• Iterables, Generator Expressions
• Writing Generators
• Python Time Travel
• Three Python Easter Eggs
• A String Trick
• String Formatting
• Modules and Packages
• Modules
• Using import
• Initialization Code
• Namespaces
• Executing Modules as Scripts
• Packages
• Configuring Import with __init__.py
• Name Resolution (AKA scope)
• Nested Functions
• Python Style
• Classes
• About OO Programming
• Defining Classes
• Constructors
• Instance Methods, Properties
• Class Methods and Data
• Static Methods, "Private" Methods
• Inheritance
• Untangling the Nomenclature
• Metaprogramming
• Special Attributes
• globals() and locals()
• Working with Attributes
• The inspect module
• Decorators
• Decorator Functions
• Decorator Classes
• Decorating Classes
• Creating Classes at Runtime
• Monkey Patching
• Objectives
• Program Development, Comments
• Pylint, Customizing pylint
• Using pyreverse, The unittest module
• Skipping Tests, Making a suite of tests
• Automated test discovery, Using Nose
• The Python Debugger
• Starting debug mode
• Stepping through a Program
• Setting Breakpoints
• Profiling
• Benchmarking
• Distributing Modules
• Installing Packages
• Ways to distribute code
• Overview of distutils
• Preparing for distribution
• Creating a source distribution
• Creating built distributions
• Setup.py Options
• Setup.py Commands
• Code Portability
• Database Access
• The DB API
• Available Interfaces
• Connecting to a Server
• Creating a Cursor
• Executing a Statement
• Executing a Statement
• Fetching Data
• Tip: Making an iterator for large queries
• Parameterized Statements
• Dictionary Cursors
• Metadata, Transactions
• Object-relational Mappers
• 10.qt GUI Programming with PyQt4
• What is 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
• Making your application stretch, Actions and Events
• Menu Bar, Status Bar, Using predefined dialogs
• Creating Custom Dialogs, Tabs, Niceties, Working with Images
• 10.tk GUI Programming with Tkinter
• Objectives, Tkinter Overview, Basic Tkinter Programming
• Object-oriented Tkinter, Widgets, Labels, Buttons, Setting Fonts
• colors, Standard colors, Variable Wrappers
• Selectable Buttons, Text Entry Blanks
• Multiline Text Entry/Display, Listbox
• Arranging Widgets, Using pack()
• Tweaking the layout, Frames
• Adding Scrollbars, Callbacks
• Callback Parameters
• Binding Events
• Event Specifications
• Creating Menus
• 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
• Variable Sharing
• Using Queues
• Debugging threaded programs
• The multiprocessing module
• Alternatives to multiprogramming
• System Administration
• The subprocess module
• subprocess convenience functions
• Using the sh module, Remote access
• Other useful modules, 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
• 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
• About JSON
• Reading JSON
• Writing JSON
• Extending Python
• 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 file
• Building and installing the extension
• cytpes