Python Programming with Red Hat (AD141)

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Course Overview

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.

Who Should Attend

  • 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

Course Objectives

    • 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

1 - An Overview of Python 3

  • Introduction to Python and setting up the developer environment

2 - Basic Python Syntax

  • Explore the basic syntax and semantics of Python

3 - Language Components

  • Understand the basic control flow features and operators

4 - Collections

  • Write programs that manipulate compound data using lists, sets, tuples and dictionaries

5 - Functions

  • Decompose your programs into composable functions

6 - Modules

  • Organize your code using Modules for flexibility and reuse

7 - Classes in Python

  • Explore Object Oriented Programming (OOP) with classes and objects

8 - Exceptions

  • Handle runtime errors using Exceptions

9 - Input and Output

  • Implement programs that read and write files

10 - Data Structures

  • Use advanced data structures like generators and comprehensions to reduce boilerplate code

11 - Regular Expressions

  • Use powerful regular expressions to manipulate textual data

12 - Parsing JSON

  • Read and write JSON data

13 - Debugging

  • Debug Python programs using the Python debugger (pdb)

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Class Dates & Times

Class times are listed Mountain time

This is a 5-day class

Price: $3,200.00

Register for Class

Register When Time Where How
Register 03/10/2025 9:00AM - 3:00PM Online VILT
Register 06/09/2025 9:00AM - 3:00PM Online VILT