This project implements a GUI for a PCAP (Certified Associate in Python Programming) quiz using the Streamlit library. The quiz questions, correct answers, and possible answers are imported from the static files defined in 'pcep_pe{test_type}.py' and 'sample_01.py'.

• available_exams.py - library of available tests
• gui.py - The entry point of the application
• parse_data.py - parser for the first data type such as 'questions.dat' and 'answers.dat'
• parse_data_new.py - parser for the second data type such as 'pcep_pe{test-type}_q.dat' and 'pcep_pe{test-type}_a.dat'
• pcep_pe1_m1.py - static test definitions for PE1 module 1
• pcep_pe1_m2.py - static test definitions for PE1 module 2
• pcep_pe1_m3.py - static test definitions for PE1 module 3
• pcep_pe1_m4.py - static test definitions for PE1 module 4
• pcep_pe1_summary.py - static test definitions for PE1 summary
• pcep_pe2_m1.py - static test definitions for PE2 module 1
• pcep_pe2_m2.py - static test definitions for PE2 module 2
• pcep_pe2_m3.py - static test definitions for PE2 module 3
• pcep_pe2_m4.py - static test definitions for PE2 module 4
• pcep_pe2_summary.py - static test definitions for PE2 summary
• pcep_pe_final.py - static test definitions for PE1 and PE2 final
• quiz_struct.py - test definitions structure
• sample_01.py - static test definitions for PCAP
• requirements.txt - project library dependency

• data - files with data extracted from PDF

• Web-based interface for the quiz.
• Displays the quiz instructions and topics.
• For each question, it displays the question number, progress bar, and the question itself.
• If the question has code or a directive, it is also displayed.
• The user can select their answer from the possible answers provided.
• When the user clicks the 'Next' button, the script checks the user's answer, updates the session state variables, and moves to the next question.
• After all questions have been answered, the script displays the user's score and the cumulative percentage of correct answers.

1. Clone this repository.
2. Install the required dependencies with pip install -r requirements.txt.
3. Run streamlit run gui.py to start the application.

Navigate to the URL provided by Streamlit in your web browser to start the quiz. Ex: Local URL: https://localhost:8501

This project is licensed under the terms of the MIT license.