Course Information
Course Name
AD141: Python Programming with Red Hat
Duration
4 Days
Certification
Private: Red Hat Application Development (AD)
Overview
Python programming for beginners
Python is a popular programming language used by system administrators, data scientists, and developers to create web applications, custom Red Hat Ansible Automation modules, perform statistical analysis, and train AI/ML models. This course introduces the Python language and teaches fundamental concepts like control flow, loops, data structures, functions, file I/O, regular expressions, parsing JSON, and debugging. This course is based on Python 3 and RHEL 9.0.
Following course completion, hands-on lab access will remain available for up to 45 days for any live course that includes a virtual environment.
Audience Profile
System administrators and DevOps personnel who want to use Python to automate operating system tasks
Developers from other programming languages who want to learn Python for writing applications
AI/ML, data scientists, and engineers who want to use Python for data analysis and machine learning
Prerequisites
There are no prerequisites for this course.
At Course Completion
Basics of Python syntax, functions and data types
How to debug Python scripts using the Python debugger (pdb)
Use Python data structures like dictionaries, sets, tuples and lists to handle compound data
Learn Object-oriented programming in Python and Exception Handling
How to read and write files in Python and parse JSON data
Use powerful regular expressions in Python to manipulate text
How to effectively structure large Python programs using modules and namespaces
How to use third-party libraries using the pip CLI tool.
Course Outline
Module 1: An Overview of Python 3
Introduction to Python and setting up the developer environment
Module 2: Basic Python Syntax
Explore the basic syntax and semantics of Python
Module 3: Language Components
Understand the basic control flow features and operators
Module 4: Collections
Write programs that manipulate compound data using lists, sets, tuples and dictionaries
Module 5: Functions
Decompose your programs into composable functions
Module 6: Modules
Organize your code using Modules for flexibility and reuse
Module 7: Classes in Python
Explore Object Oriented Programming (OOP) with classes and objects
Module 8: Exceptions
Handle runtime errors using Exceptions
Module 9: Input and Output
Implement programs that read and write files
Module 10: Data Structures
Use advanced data structures like generators and comprehensions to reduce boilerplate code
Module 11: Regular Expressions
Use powerful regular expressions to manipulate textual data
Module 12: Parsing JSON
Read and write JSON data
Module 13: Debugging
Debug Python programs using the Python debugger (pdb)
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