D01E. Advanced Data Structures Exercises.ipynb

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    "# D01E: Advanced Data Structures Exercises"
   ]
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    "#### Exercise 1: Create the following Numpy arrays with random numbers for the following dimensions:\n",
    "\n",
    "* 5 x 5\n",
    "* 1 x 20\n",
    "* 90 x 90\n",
    "\n",
    "Also round the arrays to 3 decimal places."
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    "import numpy as np\n",
    "\n"
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    "#### Exercise 2: Create a 1 dimensional array containing 10 records and convert this to a pandas series with the custom index:"
   ]
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    "custom_index = ['A','B','C','D','E','F','G','H','I','J']"
   ]
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    "import pandas as pd\n",
    "\n"
   ]
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    "#### Exercise 3: Create a Pandas dataframe from the following data, and name the columns col1 - col5. Then...\n",
    "\n",
    "1) Convert col1 to an array.\n",
    "2) Convert col2 to a list.\n",
    "3) Convert col3 to a dictionary."
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    "index = np.arange(0,5)\n",
    "data1 = np.random.random(5)\n",
    "data2 = np.random.random(5)\n",
    "data3 = np.random.random(5)\n",
    "data4 = np.random.random(5)\n",
    "data5 = np.random.random(5)"
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