Course

Python Programming with Red Hat («AD141»)

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.

Duration 4 days

Price 2'500.–

Note: This course is offered as a 4-day in-classroom, a 5-day virtual class, or self-paced. Durations may vary based on the delivery.

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Course facts

Key Learnings

Basics of Python syntax, functions and data types
Debugging Python scripts using the Python debugger (pdb)
Using Python data structures like dictionaries, sets, tuples and lists to handle compound data
Learning object-oriented programming in Python and Exception Handling
Reading and writing files in Python and parsing JSON data
Using powerful regular expressions in Python to manipulate text
Effectively structuring large Python programs using modules and namespaces
Using third-party libraries using the pip CLI tool

Content

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.

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)

Target audience

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

Requirements

There are no prerequisites for this course.