Python Advanced

Lesprogramma – Python Advanced

Dag 1

Python refresher

• Built-in data types
• Lists and tuples
• Dictionaries and sets
• Program structure
• Files and console I/O
• If statement
• for and while loops

Data Structures and Algorithms

• Linked list
• Stack
• Queue
• Trees
• Graphs
• Sorting algorithms

Dag 2

Errors and Exception Handling

• Syntax errors
• Exceptions
• Using try/catch/else/finally
• Handling multiple exceptions
• Ignoring exceptions

Implementing Regular Expressions

• RE Objects
• Searching and matching
• Using Regular Expression to search data sets
• Searching for data in Wireshark Traces (Python and *.pcaps)
• Compilation flags
• Groups and special groups
• Replacing text
• Splitting strings

Advanced Functional Features of Python

• Advanced unpacking
• List Comprehension
• Anonymous functions
• Lambda expressions
• Generator Expression
• Decorator
• Closure
• Single/multi dispatch
• Relative imports
• Using __init__ effectively
• Documentation best practices

Dag 3

Metaprogramming

• OOP conventions
• Class/static data and methods
• Parse information to create classes using a dictionary
• Super() method
• Metaclasses
• Abstract base classes
• Implementing protocols (context, iterator, etc.) with special methods
• Implicit properties
• Globals() and locals()
• Working with object attributes
• The inspect module
• Callable classes
• Monkey patching

Advanced file handling

• Paths, directories, and filenames
• Checking for existence
• Permissions and other file attributes
• Walking directory trees
• Creating filters with fileinput
• Using shutil for file operations

Dag 4

Advanced Data Structure features in Python

• Use defaultdict, Counter, and namedtuple
• Create data classes
• Store data offline with pickle
• Pretty printing data structures
• Compressed archives (zip, gzip, tar, etc.)
• Persistent data

Multiprogramming

• Concurrent programming
• Multithreading
• The threading module
• Sharing variables
• The queue module
• The multiprocessing module
• Creating pools
• Coroutines
• About async programming

Python Design Patterns

• Need for design patterns and types
• Creational
• Structural
• Behavioral
• Best coding practices

Dag 5

Developer Tools

• Analyzing programs with pylint
• Using the debugger
• Profiling code
• Testing speed with benchmarking

Unit testing with PyTest

• What is a unit test
• Testing with Unit-test framework
• Testing with PyTest
• Testing with doctest
• Writing tests
• Working with fixtures
• Test runners
• Mocking resources

Writing real-life applications

• Build the classic minesweeper game in the command line
• Build a program that can go into any folder on your computer and rename all of the files based on the conditions set in your Python code
• Implement the binary search algorithm
• Build a random password generator
• Build a countdown timer using the time Python module.