Python Advanced: Developing in an AI World

Outline

Python and OS Services

Lecture: Python Built-in Data Types (Lists, Tuples, Dictionaries, Sets)

Lecture: Program Structure, Files, and Console I/O

Lecture: Conditional Statements and Loops

Lab: Refreshing Python Basics

Lecture + Lab: Using `os` and `os.path` Modules

Lecture + Lab: Environment Variables and External Commands with `subprocess`

Lecture + Lab: Working with File Systems and Directory Trees

Lecture: Understanding Binary Data vs Text

Lab: Using the `struct` Module for Binary Data

Lecture: Advanced Pythonic Programming (Zen of Python, Tuples, Sorting, List Comprehensions)

Lab: Pythonic Programming Practices

Python and AI

Lecture: AI, LLMs, and Python

Lab: Letting AI write your Python Code

Lecture: Testing AI Written Code

Lab: How to test code written by AI

Lecture: Writing AI enabled Programs

Lab: Writing AI enabled Programs

Dates, Times, and Pythonic Programming

Lecture: Basic Date and Time Classes, Formats, and Conversions

Lab: Formatting and Parsing Date/Time Information

Lecture: Sorting and Lambda Functions

Lab: Implementing Sorting Algorithms

Lecture: List Comprehensions and Generator Expressions

Lab: Advanced List Comprehensions

Lecture: String Formatting Techniques

Lab: Advanced String Formatting

Lecture: Understanding Four Types of Function Parameters

Lab: Working with Function Parameters

Lecture: Single and Multi-dispatch

Lab: Implementing Single and Multi-dispatch

Developer Tools, Unit Testing, Network Programming, and Data Science

Lecture + Lab: Analyzing Programs with `pylint`, Debugging, and Profiling

Lecture: Unit Testing Python Apps (including AI apps)

Lab: Writing and Running Unit Tests, Mocking Resources

Lecture + Lab: Network Programming (Using `requests`, Consuming RESTful Services, SSH)

Lecture: Multiprogramming with `threading` and `multiprocessing`

Lab: Creating Multithreaded and Multiprocess Applications

Lecture: Working with XML, JSON, and CSV

Lab: Processing XML Data with `ElementTree`

Lab: Handling JSON Data

Lab: Reading and Writing CSV Files

Lecture: Scripting for System Administration

Lab: Running External Programs and Parsing Arguments

Lecture: Logging and Debugging in Python

Lab: Implementing Logging in Python Scripts

Lecture: Advanced Data Analysis with Pandas

Lab: Data Analysis with Pandas

Advanced Topics, Microservices, and Cloud Integration (AS TIME PERMITS)

Lecture: Containers & Kubernetes

Lab: Creating and Using Containers with Python Apps

Lecture + Lab: Building Python Containers

Lecture: Building a Python Package

Lab: Python Packages

Lecture: Developing Microservices with Flask

Lab: Building Microservices with Flask

Lecture: Building Microservices with FastAPI

Lab: Building Microservices with FastAPI

Lecture: Swagger

Lab: Building API code with Swagger and Python