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Training
Course Information
Course Name
AD141: Python Programming with Red Hat
Duration
4 Days
Certification
Overview
Audience Profile
Prerequisities
At Course Completion
Course Outline
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.
Overview
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
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
Prerequisities
Prerequisites
- There are no prerequisites for this course.
At Course Completion
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
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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