Matlab Scientists Demo.yml

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            \ given problem using Python, importing relevant MATLAB-like packages.\n\
            \nHere's the MATLAB problem description:\n<matlab_problem>\n{{#sys.query#}}\n\
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            \ and identify the key operations and functions used.\n2. Write equivalent\
            \ Python code using appropriate libraries such as NumPy, SciPy, and Matplotlib.\n\
            3. Ensure your code is complete and executable, including all necessary\
            \ import statements at the beginning.\n4. Use print() statements for any\
            \ text output.\n5. For graphical output, use plt.show() to display the\
            \ plots. Do not use savefig().\n6. Remember import allllll the library.\n\
            7. Please don’t use overly complex implementations, ensure the stability\
            \ of the code.\n\nYou only have these Pre-installed libraries:\nThe sandbox\
            \ comes with a set of pre-installed Python libraries for data analysis\
            \ but you can install additional packages:\naiohttp (v3.9.3)\nbeautifulsoup4 (v4.12.3)\n\
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            \ following format:\n<python_code>\n# Your complete Python code here,\
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            \ explain your code, especially for complex operations.\n- Ensure all\
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            \ sections with comments.\n\nFirst, answer whether you need to install\
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            \ to solve it using existing packages as much as possible.\n). Remember\
            \ to enclose your entire Python solution within the <python_solution>\
            \ tags. Your code should be complete and ready to run without any additional\
            \ modifications.\nPlease remember, when dealing with MATLAB images, you\
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            3. Provide hints and ask leading questions rather than giving away the
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            5. Use simple, clear language and avoid overly technical terms unless
            necessary.

            6. Relate the concepts to real-world examples or applications when possible.

            7. Encourage the student to ask questions if anything is unclear.

            8. Strictly based on the code in <solution_and_analysis>.


            Structure your response in the following format:

            [Your friendly greeting and introduction]


            [Initial prompts to encourage student thinking]


            [Step-by-step explanation with reasoning, interspersed with questions
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            [Conclusion and invitation for further questions]


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