Introduction to Python Training

• Python language characteristics
• The Python execution model

Manipulating string and numeric literals

• Declaring and initialising variables
• Performing arithmetic calculations
• Making decisions and performing iterations
• Formatting and slicing strings

Aggregating related data

• Accessing positional information in lists
• Representing ordered data with tuples
• Consistently handling data collections with iterators

Defining and calling functions

• Positional, keyword and default arguments
• Implementing variable-length argument lists
• Iterating with generator functions

Grouping code into modules

• Importing and packages
• Referencing functions from modules by qualification
• Accessing the Standard Library

Declaring and modifying objects

• Encapsulating attributes and methods in classes
• Initialising objects with constructors
• Accessing and modifying attributes with methods
• Overloading operators

Inheritance and polymorphism

• Reusing functionality through inheritance
• Extending methods from base classes
• Overriding methods for dynamic behaviour
• Tracing the scope in the namespace
• Enhancing functionality with class decorators

Managing files

• Reading and writing text and binary files
• Importing the OS module for directory management

Increasing program robustness through handling exceptions

• Maintaining program control with error handlers
• Detecting errors and raising exceptions

Establishing communication

• Creating a SQL database connection
• Instantiating cursors to access a database

Executing SQL statements within a Python program

• Retrieving desired data sets
• Updating the database with action statements

Building the user interface

• Defining GUI classes with Frames
• Placing widgets and geometry managers
• Displaying scrolling output
  

Listening for interface events

• Responding to mouse clicks
• Binding event handlers

Analysing the request processing pipeline

• Positioning the role of Python
• Mapping requests to Python scripts

Developing MVC with Python

• Integrating the model with a database
• Processing requests with Python controllers

Benefiting from the Django framework

• Improving productivity with code reduction
• Simplifying application development
• Accessing the database and producing HTML with Django templates