Detailed Course Outline
Introduction to Python and setting up the developer environment.
Basic Python Syntax
Explore the basic syntax and semantics of Python
Language Components
Understand the basic control flow features and operators
Collections
Write programs that manipulate compound data using lists, sets, tuples and dictionaries
Functions
Decompose your programs into composable functions
Modules
Organize your code using Modules for flexibility and reuse
Classes in Python
Explore Object Oriented Programming (OOP) with classes and objects
Exceptions
Handle runtime errors using Exceptions
Input and Output
Implement programs that read and write files
Data Structures
Use advanced data structures like generators and comprehensions to reduce boilerplate code
Parsing JSON
Read and write JSON data
Debugging Debug Python programs using the Python debugger (pdb)
Introduction to Machine Learning Describe basic machine learning concepts, different types of machine learning, and machine learning workflows
Training Models Train models by using default and custom workbenches
Enhancing Model Training with RHOAI Use RHOAI to apply best practices in machine learning and data science