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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
13 - Debugging
- Debug Python programs using the Python debugger (pdb)