Advanced Python Programming

Python Quick Refresher

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

OS Services

• The os and path modules
• Environment variables
• Launching external commands with subprocess
• Paths, directories, and filenames
• Working with file systems
  

Dates and Times

• Basic date and time classes
• Different time formats
• Converting between formats
• Formatting dates and times
• Parsing date/time information
  

Binary Data and C Programming

• What is Binary Data?
• Binary vs text
• Using the Struct module
• Using the Structure Class
• Calling C Functions from Python
• Overview C Extensions
  

Pythonic Programming

• The Zen of Python
• Tuples
• Sorting
• List comprehensions
• Generator expressions
• String formatting
  

Functions, Modules, and Packages

• Four types of function parameters
• Four levels of name scoping
• Single/multi dispatch
• Relative imports
• Using __init__ effectively
• Decorators
• Lambda functions
  

Intermediate Classes

• Class/static data and methods
• Inheritance (or composition)
• Abstract base classes
• Implementing protocols (context, iterator, etc.) with special methods

Metaprogramming

• Implicit properties
• globals() and locals()
• Working with object attributes
• The inspect module
• Callable classes
• Monkey patching

Developer Tools

• Analyzing programs with pylint
• Code Reformatting with Autopep8 and Black
• Using the debugger

Unit Testing with PyTest

• What is a unit test?
• Writing tests
• Working with fixtures
• Test runners
• Mocking resources
  

Database Access

• The DB API
• Available Interfaces
• Connecting to a server
• Creating and executing a cursor
• Fetching data
• Parameterized statements
• Transaction control
  

PyQt

• Overview
• Qt Architecture
• Standard widgets
• Event handling
  

Network Programming

• Built-in classes
• Using requests
• Grabbing web pages
• Sending email
• Working with binary data
• Consuming RESTful services
• Remote access (SSH)
  

Multiprogramming

• The threading module
• Sharing variables
• The queue module
• The multiprocessing module
• Creating pools
• Async Programming
  

Scripting for System Administration

• Running external programs
• Parsing arguments
• Creating filters to read text files
• Logging
  

Serializing Data – XML and JSON

• Working with XML
• XML modules in Python
• Getting started with ElementTree
• Parsing XML
• Updating an XML tree
• Creating a new document
• About JSON
• Reading JSON
• Writing JSON
• Reading/writing CSV files
• YAML, other formats as time permits

Advanced Data Handling

• Discover the collections module
• Use defaultdict, Counter, and namedtuple
• Create dataclasses
• Store data offline with pickle

Type Hinting

• Annotate variables
• Learn what type hinting does NOT do
• Use the typing module for detailed type hints
• Understand union and optional types
• Write stub interfaces