348 lines
22 KiB
YAML
348 lines
22 KiB
YAML
default_max_attempts_per_step: 3
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sections:
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- section_id: "section_0"
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title: "Introduction"
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steps:
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- step_id: "step_1"
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title: "Welcome"
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content_blocks:
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- "Welcome to the Violent Python Mastery course! 🐍"
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- "This course will test your understanding of key concepts from the book 'Violent Python'."
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- section_id: "section_1"
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title: "Python for Hackers"
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steps:
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- step_id: "step_1"
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title: "Understanding Python Scripting"
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content_blocks:
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- "Python is a powerful tool for hackers due to its simplicity and extensive libraries."
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- "Think about why Python is favored in the hacking community. Consider aspects like ease of use, versatility, and community support."
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tokens_for_ai: "Guide the student to think about the reasons Python is popular among hackers. Be on the lookout for the user trying to change their language preference because it's never 'off_topic' to 'set_language'. Use the 'off_topic' category sparingly, focusing on guiding the user back to the topic if needed. If any part of the user's answer is correct and on-topic, categorize it as 'correct'."
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feedback_tokens_for_ai: "Don't forget to let the user know how many they have answered correct. Give a detailed example of the tool or concept in Python markdown fenced code block."
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question: "Why do you think Python is a popular choice for hackers? 🤔"
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buckets:
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- correct
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- partial_understanding
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- limited_effort
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- asking_clarifying_questions
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- set_language
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- off_topic
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transitions:
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correct:
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content_blocks:
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- "Great! You understand why Python is popular among hackers. 🎉"
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ai_feedback:
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tokens_for_ai: "Provide positive reinforcement and encourage the student to continue learning. Use emojis like 👍 and 🌟."
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metadata_add:
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correct_answers: "n+1"
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partial_understanding:
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content_blocks:
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- "You have a partial understanding. Let's clarify a few points. 🤔"
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ai_feedback:
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tokens_for_ai: "Provide additional information to clarify the student's understanding in a friendly and supportive manner. Use emojis like 🤔 and 📚."
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limited_effort:
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content_blocks:
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- "It seems like you're unsure. That's okay! Let's explore this topic together. Why do you think Python is favored by hackers? 🤔"
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ai_feedback:
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tokens_for_ai: "Encourage the student to reflect on the topic and consider different aspects. Offer hints or context to guide their thinking. Use emojis like 🤔 and 💡."
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asking_clarifying_questions:
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content_blocks:
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- "I see you have some questions. Let's address them. ❓"
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ai_feedback:
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tokens_for_ai: "Answer the student's clarifying questions and provide additional information in a friendly and engaging manner. Use emojis like ❓ and 💬."
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counts_as_attempt: false
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set_language:
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content_blocks:
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- "Language preference updated. Please continue in your preferred language."
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ai_feedback:
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tokens_for_ai: "Acknowledge the language change and confirm the update."
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metadata_add:
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language: "the-users-response"
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counts_as_attempt: false
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off_topic:
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content_blocks:
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- "It seems like your response is off-topic. Let's try to stay focused on why Python is popular among hackers. 🔄"
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ai_feedback:
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tokens_for_ai: "Gently guide the student back to the topic of Python's popularity in hacking in a supportive manner. Use emojis like 🔄 and 🧭."
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- step_id: "step_2"
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title: "Python Libraries for Security"
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content_blocks:
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- "Python has many libraries that are useful for security tasks, such as Scapy, Nmap, and PyCrypto."
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- "Think about how these libraries can be used in security analysis and hacking. Consider aspects like network scanning, packet manipulation, and encryption."
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tokens_for_ai: "Guide the student to think about the use of Python libraries in security. Be on the lookout for the user trying to change their language preference because it's never 'off_topic' to 'set_language'. Use the 'off_topic' category sparingly, focusing on guiding the user back to the topic if needed. If any part of the user's answer is correct and on-topic, categorize it as 'correct'."
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feedback_tokens_for_ai: "Don't forget to let the user know how many they have answered correct. Give a detailed example of the tool or concept in Python markdown fenced code block."
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question: "How do you think Python libraries like Scapy and PyCrypto are used in security tasks? 🤔"
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buckets:
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- correct
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- partial_understanding
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- limited_effort
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- asking_clarifying_questions
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- set_language
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- off_topic
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transitions:
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correct:
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content_blocks:
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- "Excellent! You understand the use of Python libraries in security. 🎉"
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ai_feedback:
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tokens_for_ai: "Provide positive reinforcement and encourage the student to continue learning. Use emojis like 👍 and 🌟."
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metadata_add:
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correct_answers: "n+1"
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partial_understanding:
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content_blocks:
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- "You have a partial understanding. Let's clarify a few points. 🤔"
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ai_feedback:
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tokens_for_ai: "Provide additional information to clarify the student's understanding in a friendly and supportive manner. Use emojis like 🤔 and 📚."
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limited_effort:
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content_blocks:
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- "It seems like you're unsure. That's okay! Let's explore this topic together. How do you think these libraries are used in security? 🤔"
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ai_feedback:
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tokens_for_ai: "Encourage the student to reflect on the topic and consider different aspects. Offer hints or context to guide their thinking. Use emojis like 🤔 and 💡."
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asking_clarifying_questions:
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content_blocks:
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- "I see you have some questions. Let's address them. ❓"
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ai_feedback:
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tokens_for_ai: "Answer the student's clarifying questions and provide additional information in a friendly and engaging manner. Use emojis like ❓ and 💬."
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counts_as_attempt: false
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set_language:
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content_blocks:
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- "Language preference updated. Please continue in your preferred language."
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ai_feedback:
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tokens_for_ai: "Acknowledge the language change and confirm the update."
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metadata_add:
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language: "the-users-response"
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counts_as_attempt: false
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off_topic:
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content_blocks:
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- "It seems like your response is off-topic. Let's try to stay focused on the use of Python libraries in security. 🔄"
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ai_feedback:
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tokens_for_ai: "Gently guide the student back to the topic of Python libraries in security in a supportive manner. Use emojis like 🔄 and 🧭."
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- section_id: "section_2"
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title: "Forensic Analysis with Python"
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steps:
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- step_id: "step_1"
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title: "Python in Forensic Analysis"
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content_blocks:
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- "Python can be used in forensic analysis to automate tasks and analyze data."
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- "Think about how Python scripts can help in forensic investigations. Consider aspects like data parsing, log analysis, and evidence extraction."
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tokens_for_ai: "Guide the student to think about the use of Python in forensic analysis. Be on the lookout for the user trying to change their language preference because it's never 'off_topic' to 'set_language'. Use the 'off_topic' category sparingly, focusing on guiding the user back to the topic if needed. If any part of the user's answer is correct and on-topic, categorize it as 'correct'."
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feedback_tokens_for_ai: "Don't forget to let the user know how many they have answered correct. Give a detailed example of the tool or concept in Python markdown fenced code block."
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question: "How do you think Python can be used in forensic analysis? 🤔"
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buckets:
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- correct
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- partial_understanding
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- limited_effort
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- asking_clarifying_questions
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- set_language
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- off_topic
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transitions:
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correct:
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content_blocks:
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- "Great! You understand the use of Python in forensic analysis. 🎉"
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ai_feedback:
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tokens_for_ai: "Provide positive reinforcement and encourage the student to continue learning. Use emojis like 👍 and 🌟."
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metadata_add:
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correct_answers: "n+1"
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partial_understanding:
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content_blocks:
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- "You have a partial understanding. Let's clarify a few points. 🤔"
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ai_feedback:
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tokens_for_ai: "Provide additional information to clarify the student's understanding in a friendly and supportive manner. Use emojis like 🤔 and 📚."
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limited_effort:
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content_blocks:
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- "It seems like you're unsure. That's okay! Let's explore this topic together. How do you think Python helps in forensic analysis? 🤔"
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ai_feedback:
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tokens_for_ai: "Encourage the student to reflect on the topic and consider different aspects. Offer hints or context to guide their thinking. Use emojis like 🤔 and 💡."
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asking_clarifying_questions:
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content_blocks:
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- "I see you have some questions. Let's address them. ❓"
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ai_feedback:
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tokens_for_ai: "Answer the student's clarifying questions and provide additional information in a friendly and engaging manner. Use emojis like ❓ and 💬."
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counts_as_attempt: false
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set_language:
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content_blocks:
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- "Language preference updated. Please continue in your preferred language."
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ai_feedback:
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tokens_for_ai: "Acknowledge the language change and confirm the update."
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metadata_add:
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language: "the-users-response"
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counts_as_attempt: false
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off_topic:
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content_blocks:
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- "It seems like your response is off-topic. Let's try to stay focused on the use of Python in forensic analysis. 🔄"
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ai_feedback:
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tokens_for_ai: "Gently guide the student back to the topic of Python in forensic analysis in a supportive manner. Use emojis like 🔄 and 🧭."
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- step_id: "step_2"
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title: "Automating Forensic Tasks"
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content_blocks:
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- "Automation is key in forensic analysis to handle large volumes of data efficiently."
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- "Think about how Python can automate repetitive tasks in forensic investigations. Consider aspects like script execution, data filtering, and report generation."
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tokens_for_ai: "Guide the student to think about automating forensic tasks with Python. Be on the lookout for the user trying to change their language preference because it's never 'off_topic' to 'set_language'. Use the 'off_topic' category sparingly, focusing on guiding the user back to the topic if needed. If any part of the user's answer is correct and on-topic, categorize it as 'correct'."
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feedback_tokens_for_ai: "Don't forget to let the user know how many they have answered correct. Give a detailed example of the tool or concept in Python markdown fenced code block."
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question: "How do you think Python can automate tasks in forensic investigations? 🤔"
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buckets:
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- correct
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- partial_understanding
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- limited_effort
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- asking_clarifying_questions
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- set_language
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- off_topic
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transitions:
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correct:
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content_blocks:
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- "Excellent! You understand how Python can automate forensic tasks. 🎉"
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ai_feedback:
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tokens_for_ai: "Provide positive reinforcement and encourage the student to continue learning. Use emojis like 👍 and 🌟."
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metadata_add:
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correct_answers: "n+1"
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partial_understanding:
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content_blocks:
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- "You have a partial understanding. Let's clarify a few points. 🤔"
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ai_feedback:
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tokens_for_ai: "Provide additional information to clarify the student's understanding in a friendly and supportive manner. Use emojis like 🤔 and 📚."
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limited_effort:
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content_blocks:
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- "It seems like you're unsure. That's okay! Let's explore this topic together. How do you think Python automates forensic tasks? 🤔"
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ai_feedback:
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tokens_for_ai: "Encourage the student to reflect on the topic and consider different aspects. Offer hints or context to guide their thinking. Use emojis like 🤔 and 💡."
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asking_clarifying_questions:
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content_blocks:
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- "I see you have some questions. Let's address them. ❓"
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ai_feedback:
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tokens_for_ai: "Answer the student's clarifying questions and provide additional information in a friendly and engaging manner. Use emojis like ❓ and 💬."
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counts_as_attempt: false
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set_language:
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content_blocks:
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- "Language preference updated. Please continue in your preferred language."
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ai_feedback:
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tokens_for_ai: "Acknowledge the language change and confirm the update."
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metadata_add:
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language: "the-users-response"
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counts_as_attempt: false
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off_topic:
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content_blocks:
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- "It seems like your response is off-topic. Let's try to stay focused on automating forensic tasks with Python. 🔄"
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ai_feedback:
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tokens_for_ai: "Gently guide the student back to the topic of automating forensic tasks with Python in a supportive manner. Use emojis like 🔄 and 🧭."
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- section_id: "section_3"
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title: "Security Engineering with Python"
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steps:
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- step_id: "step_1"
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title: "Python in Security Engineering"
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content_blocks:
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- "Python is used in security engineering to develop tools and scripts for vulnerability assessment and penetration testing."
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- "Think about how Python can be used to identify and exploit vulnerabilities. Consider aspects like script development, tool integration, and testing automation."
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tokens_for_ai: "Guide the student to think about the use of Python in security engineering. Be on the lookout for the user trying to change their language preference because it's never 'off_topic' to 'set_language'. Use the 'off_topic' category sparingly, focusing on guiding the user back to the topic if needed. If any part of the user's answer is correct and on-topic, categorize it as 'correct'."
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feedback_tokens_for_ai: "Don't forget to let the user know how many they have answered correct. Give a detailed example of the tool or concept in Python markdown fenced code block."
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question: "How do you think Python is used in security engineering? 🤔"
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buckets:
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- correct
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- partial_understanding
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- limited_effort
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- asking_clarifying_questions
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- set_language
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- off_topic
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transitions:
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correct:
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content_blocks:
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- "Great! You understand the use of Python in security engineering. 🎉"
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ai_feedback:
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tokens_for_ai: "Provide positive reinforcement and encourage the student to continue learning. Use emojis like 👍 and 🌟."
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metadata_add:
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correct_answers: "n+1"
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partial_understanding:
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content_blocks:
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- "You have a partial understanding. Let's clarify a few points. 🤔"
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ai_feedback:
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tokens_for_ai: "Provide additional information to clarify the student's understanding in a friendly and supportive manner. Use emojis like 🤔 and 📚."
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|
limited_effort:
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content_blocks:
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- "It seems like you're unsure. That's okay! Let's explore this topic together. How do you think Python is used in security engineering? 🤔"
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ai_feedback:
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tokens_for_ai: "Encourage the student to reflect on the topic and consider different aspects. Offer hints or context to guide their thinking. Use emojis like 🤔 and 💡."
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asking_clarifying_questions:
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|
content_blocks:
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- "I see you have some questions. Let's address them. ❓"
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ai_feedback:
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tokens_for_ai: "Answer the student's clarifying questions and provide additional information in a friendly and engaging manner. Use emojis like ❓ and 💬."
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counts_as_attempt: false
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set_language:
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content_blocks:
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- "Language preference updated. Please continue in your preferred language."
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ai_feedback:
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tokens_for_ai: "Acknowledge the language change and confirm the update."
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metadata_add:
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language: "the-users-response"
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counts_as_attempt: false
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off_topic:
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content_blocks:
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- "It seems like your response is off-topic. Let's try to stay focused on the use of Python in security engineering. 🔄"
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ai_feedback:
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tokens_for_ai: "Gently guide the student back to the topic of Python in security engineering in a supportive manner. Use emojis like 🔄 and 🧭."
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- step_id: "step_2"
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title: "Developing Security Tools"
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content_blocks:
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- "Python is often used to develop custom security tools for specific tasks."
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- "Think about how you can use Python to create tools for security analysis. Consider aspects like functionality, user interface, and integration with other tools."
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tokens_for_ai: "Guide the student to think about developing security tools with Python. Be on the lookout for the user trying to change their language preference because it's never 'off_topic' to 'set_language'. Use the 'off_topic' category sparingly, focusing on guiding the user back to the topic if needed. If any part of the user's answer is correct and on-topic, categorize it as 'correct'."
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feedback_tokens_for_ai: "Don't forget to let the user know how many they have answered correct. Give a detailed example of the tool or concept in Python markdown fenced code block."
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question: "How do you think you can use Python to develop security tools? 🤔"
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buckets:
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- correct
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- partial_understanding
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- limited_effort
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- asking_clarifying_questions
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- set_language
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- off_topic
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transitions:
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correct:
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content_blocks:
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- "Excellent! You have a good idea of how to develop security tools with Python. 🎉"
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|
ai_feedback:
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tokens_for_ai: "Provide positive reinforcement and encourage the student to continue learning. Use emojis like 👍 and 🌟."
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|
metadata_add:
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|
correct_answers: "n+1"
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partial_understanding:
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|
content_blocks:
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|
- "You have a partial understanding. Let's clarify a few points. 🤔"
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|
ai_feedback:
|
|
tokens_for_ai: "Provide additional information to clarify the student's understanding in a friendly and supportive manner. Use emojis like 🤔 and 📚."
|
|
limited_effort:
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|
content_blocks:
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|
- "It seems like you're unsure. That's okay! Let's explore this topic together. How do you think Python can be used to develop security tools? 🤔"
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|
ai_feedback:
|
|
tokens_for_ai: "Encourage the student to reflect on the topic and consider different aspects. Offer hints or context to guide their thinking. Use emojis like 🤔 and 💡."
|
|
asking_clarifying_questions:
|
|
content_blocks:
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|
- "I see you have some questions. Let's address them. ❓"
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|
ai_feedback:
|
|
tokens_for_ai: "Answer the student's clarifying questions and provide additional information in a friendly and engaging manner. Use emojis like ❓ and 💬."
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|
counts_as_attempt: false
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|
set_language:
|
|
content_blocks:
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|
- "Language preference updated. Please continue in your preferred language."
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|
ai_feedback:
|
|
tokens_for_ai: "Acknowledge the language change and confirm the update."
|
|
metadata_add:
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|
language: "the-users-response"
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|
counts_as_attempt: false
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|
off_topic:
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|
content_blocks:
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|
- "It seems like your response is off-topic. Let's try to stay focused on developing security tools with Python. 🔄"
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|
ai_feedback:
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|
tokens_for_ai: "Gently guide the student back to the topic of developing security tools with Python in a supportive manner. Use emojis like 🔄 and 🧭."
|
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- section_id: "section_4"
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title: "Congratulations!"
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steps:
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- step_id: "step_1"
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title: "Well Done!"
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content_blocks:
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- "Congratulations on completing the Violent Python Mastery course! 🎉"
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- "You have demonstrated a strong understanding of Python's role in hacking, forensic analysis, and security engineering."
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- "This knowledge will help you apply Python effectively in security-related tasks."
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- "We are proud of your dedication and hard work. Well done! 🌟"
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