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Proof reading: python for data analysis where is my understanding
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where_is_my_understanding/python_for_data_analysis.ipynb

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"tags": []
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"source": [
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"The following questions are aimed at testing your understanding of the content that is covered within this course. There is no defined threshold where we believe you should attend the course if you score below. Rather it is aimed to make you engage with the content and reflect for yourself if you feel you would benefit from attending the course. Of note, is that the quiz is intended for you to use google throuhgout and engage with documentation. Even if you get all of the questions right, you are ofcourse more than welcome to still attend the course and use it as a refresher!\n",
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"The following questions are aimed at testing your understanding of the content that is covered within this course. There is no defined threshold below which we believe you should attend the course. Rather, it is aimed at helping you engage with the content and reflect on whether you would benefit from attending the course. It is intended that you will engage with documentation and use Google throughout. Even fi you get all of the questions right, you are, of course, more than welcome to still attend the course as a refresher!\n",
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"\n",
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"# NumPy"
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]

where_is_my_understanding/quizes/numpy_course_skip_quiz.json

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"feedback": "Correct."
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{
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"answer": "Creates an array with a specifieid data type",
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"answer": "Creates an array with a specified data type",
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"correct": false,
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"feedback": "Incorrect."
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"feedback": "Incorrect."
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{
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"answer": "A 3x2 array of random numbrs between 0 and 1",
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"answer": "A 3x2 array of random numbers between 0 and 1",
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"correct": true,
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"feedback": "Correct."
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},

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