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The GPYC exam consists of 75 multiple-choice questions that cover various aspects of Python programming language. GPYC exam is two hours long and is proctored online. GPYC exam fee includes two attempts to pass the exam, and candidates can purchase additional attempts if needed. GPYC exam is designed to test the candidates’ knowledge and skills in various areas, including Python syntax, data types, control flow, functions, modules, classes, and exceptions.
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The GIAC GPYC exam comprises a 3-hour performance-based assessment that tests your knowledge of Python syntax, data manipulation, and network automation. GPYC exam is not a multiple-choice format but instead, presents a set of tasks that the candidate needs to perform using the Python language. GPYC examination is practical and provides a real-world experience of problem-solving and programming in Python.
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GIAC Python Coder (GPYC) Certification Exam is a valuable certification that demonstrates a candidate's proficiency in Python programming. GIAC Python Coder (GPYC) certification is recognized globally and is widely accepted as a benchmark for Python programming skills. GPYC certification holders have a wide range of career opportunities available to them and can work in various fields such as software development, data analysis, security, and research.
Reference: https://www.giac.org/certification/python-coder-gpyc
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GIAC GPYC Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Scripting and Automation | - Task automation with Python libraries - File handling and system automation |
| Topic 2: Python Programming Fundamentals | - Core syntax and language constructs - Data types and control flow |
| Topic 3: Security-Oriented Python Usage | - Secure coding practices - Input validation and sanitization |
| Topic 4: Debugging and Code Analysis | - Code troubleshooting techniques - Error handling and exceptions |
| Topic 5: Networking and Web Interaction | - Socket programming basics - HTTP requests and APIs |
| Topic 6: Data Structures and Algorithms in Python | - Algorithmic thinking and problem solving - Lists, dictionaries, sets, tuples |








