Training Schedule

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• Before attending this course, you should have:
• Experience writing Python scripts
• Working knowledge of Unix/Linux, Mac, or Windows
• (4267) Introduction to Python | Python Programming Basics
• (4263) Mastering Python Programming

• Python refresher
• Builtin data types
• Lists and tuples
• Dictionaries and sets
• Program structure
• Files and console I/O
• If statement
• for and while loops
• OS Services
• The os and os.path modules
• Environment variables
• Launching external commands with subprocess
• Walking directory trees
• 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
• What is Binary Data
• Binary vs text
• Using the Struct module
• Pythonic Programming
• The Zen of Python
• Tuples
• Advanced unpacking
• Sorting
• Lambda functions
• 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
• Documentation best practices
• 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
• Decorators
• Monkey patching
• Developer Tools
• Analyzing programs with pylint
• Using the debugger
• Profiling code
• Testing speed with benchmarking
• 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
• Using Metadata
• Transaction control
• ORMs and NoSQL overview
• PyQt
• Overview
• Qt Architecture
• Using designer
• Standard widgets
• Event handling
• Extras
• 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
• About 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
• Time Permitting Sessions
• 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