Python Programming Introduction/Intermediate

1. Introduction to Python

Python language characteristics
The Python execution model

2. Leveraging Python Built-in Types

3. Manipulating string and numeric literals

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

4. Aggregating related data

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

5. Organising and Structuring Code

6. Defining and calling functions

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

7. Grouping code into modules

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

8. Implementing Classes and Objects

9. Declaring and modifying objects

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

10. 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

11. Manipulating the File System

12. Managing files

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

13. Increasing program robustness through handling exceptions

Maintaining program control with error handlers
Detecting errors and raising exceptions

14. Interfacing with Relational Databases

15. Establishing communication

Creating a SQL database connection
Instantiating cursors to access a database

16. Executing SQL statements within a Python program

Retrieving desired data sets
Updating the database with action statements

17. Constructing a GUI with Tkinter

18. Building the user interface

Defining GUI classes with Frames
Placing widgets and geometry managers

19. Listening for interface events

Providing menu items
Responding to mouse clicks
Binding event handlers

20. Developing Web Applications

21. Analysing the request processing pipeline

Positioning the role of Python
Mapping requests to Python scripts

22. Developing MVC with Python

Integrating the model with a database
Processing requests with Python controllers

23. Benefiting from the Django framework

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

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Course is well structured and instructor delivered the content, and more, perfectly. No question left unanswered, no theory unexplained.

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Very informative course, very useful tips on how to work with SQL Management Studio. A lot of SQL quirks explained, a lot of good examples.

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Python Programming Fundamentals