Course description

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.

Course content summary

• 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.

Audience for 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

Study points for the exam

An Overview of Python 3
Introduction to Python and setting up the developer environment

Basic Python Syntax
Explore the basic syntax and semantics of Python

Language Components
Understand the basic control flow features and operators

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

Functions
Decompose your programs into composable functions

Modules
Organize your code using Modules for flexibility and reuse

Classes in Python
Explore Object Oriented Programming (OOP) with classes and objects

Exceptions
Handle runtime errors using Exceptions

Input and Output
Implement programs that read and write files

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

Regular Expressions
Use powerful regular expressions to manipulate textual data

Parsing JSON
Read and write JSON data

Debugging
Debug Python programs using the Python debugger (pdb)

Impact on the organization

Python is the language of choice for engineering and operations teams in the domain of AI/ML, data science, scientific computing, system administration scripts, and modern cloud-native microservices development. With its simple and readable syntax, its large and powerful standard library, and enormous ecosystem of third party libraries, Python allows organizations to experiment, prototype and bring solutions to market quickly and efficiently.

This course provides a thorough introduction to Python and teaches the syntax, semantics, idioms, tools and libraries to implement Python programs.

Impact on the individual