Python Programming Proficiency (Advanced Level)

Topics covered

• allow built-in functions to work with custom data types
• control how you handle exceptions that your code may raise
• convert a Python 2 script to be Python 3 compatible using the 2to3 conversion tool
• convert Python dictionaries and lists into CSV files
• define an abstract base class for a graph implementation and a vertex class with an adjacency set
• define multiple base classes for a single subclass
• define properties using a simpler syntax
• define the names and other customizable features of command line arguments to a Python script using the argparse module
• describe the advantages of using object-oriented programming
• initialize class variables using the init special method
• recall how class variables are different from instance variables
• recall the differences between opening a file in write mode and append mode
• recall the performance of the Bubble Sort on various measures such as time, space, and number of swaps
• recognize what trees and binary trees are and recall the properties of a binary search tree
• summarize the different ways in which nodes can be added to a linked list and how search operations work on this data structure
• use pip to install a module in your environment and import it into your Python applications
• use the native Queue class of Python and perform the standard queue operations on it
• work with class hierarchies
• write the code to implement the divide-and-conquer Shell Sort algorithm
• write the partition and Quicksort functions in order to implement a Quicksort