Python Programming with Red Hat (AD141)

Instructor‑Led: $3,520 | Duration: 5 Days

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    Course Highlights

    LEVEL: 
    • Intermediate
    TOPICS & JOB ROLES: 

    Python Programming with Red Hat (AD141) Course Outline

    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 this Course?
    • 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

    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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