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 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.
Outline for this course
An Overview of Python 3
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Introduction to Python and setting up the developer environment
Basic Python Syntax
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Explore the basic syntax and semantics of Python
Language Components
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Understand the basic control flow features and operators
Collections
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Write programs that manipulate compound data using lists, sets, tuples and dictionaries
Functions
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Decompose your programs into composable functions
Modules
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Organize your code using Modules for flexibility and reuse
Classes in Python
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Explore Object Oriented Programming (OOP) with classes and objects
Exceptions
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Handle runtime errors using Exceptions
Input and Output
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Implement programs that read and write files
Data Structures
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Use advanced data structures like generators and comprehensions to reduce boilerplate code
Regular Expressions
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Use powerful regular expressions to manipulate textual data
Parsing JSON
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Read and write JSON data
Debugging
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Debug Python programs using the Python debugger (pdb)
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
Prerequisites for this course
- There are no prerequisites for this course.
Technology considerations
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