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    "# Practice Problems\n",
    "### Lecture 7\n",
    "Answer each number in a separate cell\n",
    "\n",
    "Rename this notebook with your last name and the lecture \n",
    " \n",
    " ex. Cych_B_07\n",
    "    \n",
    "Turn-in this notebook on Canvas.  "
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    "1. Generate arrays\n",
    "    - Use **NumPy** to generate an array of integers ranging from 0 up to 360 by intervals of 10.\n",
    "    - Use **NumPy** to generate an array from 0 to 2$\\pi$ with 36 values (use the **NumPy** attribute **pi**)\n",
    "    - print them both out. \n",
    "    - Use **NumPy** to generate an array with 20 equally spaced floating point numbers between 0 and 2$\\pi$ and print it out.  \n",
    "2. Array slicing\n",
    "    - Load the data file _Datasets/RecentEarthquakes/earthquakeLocations.txt_ into a **NumPy** array. Remember that the folder _Datasets_ is in the  directory above the one that this notebook is in!  The data file contains the latitude and longitude of 10 different earthquakes.\n",
    "    - Print out the shape of the array you just imported \n",
    "    - Convert the shape of the array to 2x10.  Use both the **.reshape()** and **.transpose()** methods. \n",
    "    - Print the shape of the two new arrays\n",
    "    - Take a slice of only the latitudes and assign it in a new variable **lats**\n",
    "    - Take a slice of only the longitudes and assign it in a new variable **lons**. \n",
    "    - Print the type of the variable **lats** and **lons**\n",
    "    - Convert the new arrays, **lats** and **lons**, into separate lists and assign them to new variable names\n",
    "    - Print the type of these two new variables\n",
    "    - Save the numpy array **lats** into a text file labeled 'lats.txt'\n"
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    "Resources:\n",
    "\n",
    "http://ds.iris.edu/ieb/index.html?format=text&nodata=404&starttime=1970-01-01&endtime=2025-01-01&minmag=0&maxmag=10&mindepth=0&maxdepth=900&orderby=time-desc&limit=1000&maxlat=89.18&minlat=-89.18&maxlon=180.00&minlon=-180.00&zm=1&mt=ter) "
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