numpy-exercise.ipynb

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    "import numpy as np"
   ]
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   "source": [
    "### Create a length-10 integer array filled with zeros"
   ]
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   "source": [
    "### Create a 3x5 floating-point array filled with ones"
   ]
  },
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   "source": [
    "### Create a 3x5 array filled with 3.14"
   ]
  },
  {
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   "source": [
    "### Create a 3x3 identity matrix"
   ]
  },
  {
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  },
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   "source": [
    "### Create a one dimensional array  (of 10 elements) and use numpy's random number generator to  fill the values in the array"
   ]
  },
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   "source": [
    "### Create a two dimeensional array (of  $5 \\times 4$ dimension) and use numpy's random number generator to  fill the values in the array"
   ]
  },
  {
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   "source": [
    "### Create a three dimeensional array (of  $5 \\times 4 \\times 4$ dimensions) and use numpy's random number generator to  fill the values in the array"
   ]
  },
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   "source": [
    "### From the two dimensional array created previously, print the value of the 3rd elment in 2nd row."
   ]
  },
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   "source": [
    "### From the one dimensional array created previously, print elements from the index 4 to 7 using the array slice operations"
   ]
  },
  {
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  },
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   "source": [
    "### From the one edimensional array created previously, reverse the array"
   ]
  },
  {
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   "source": [
    "### From the two dimensional array created previously, print the first thre elements from each of the row"
   ]
  },
  {
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   "source": [
    "### Create a null vector of size 10 but the fifth value which is 1"
   ]
  },
  {
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   "source": [
    "### Create a 3x3 matrix with values ranging from 0 to 8"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "# Hint: create a one dimenstional matrrix using `arange` and  then use `reshape`"
   ]
  },
  {
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   "source": [
    "### Find indices of non-zero elements from `[1,2,0,0,4,0]`"
   ]
  },
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   "source": [
    "### Create a 10x10 array with random values and find the minimum and maximum values"
   ]
  },
  {
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  },
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   "source": [
    "### From the 10x10 array  created previously, find the maximum and minimum values in each row"
   ]
  },
  {
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  },
  {
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   "source": [
    "### From the 10x10 array  created previously, find the maximum and minimum values in each column"
   ]
  },
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    "### Create a 2d array with 1 on the border and 0 inside. For. example,\n",
    "```[[1. 1. 1. 1.]\n",
    " [1. 0. 0. 1.]\n",
    " [1. 0. 0. 1.]\n",
    " [1. 1. 1. 1.]]\n",
    "```"
   ]
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  {
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   "source": [
    "### Create a random vector of size 30 and find the mean value"
   ]
  },
  {
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   "source": [
    "### Create a 5x5 matrix with values 1,2,3,4 just below the diagonal "
   ]
  },
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   "source": [
    "### Consider a (6,7,8) shape array, what is the index (x,y,z) of the 100th element?"
   ]
  },
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   "source": [
    "### Multiply a 5x3 matrix by a 3x2 matrix (real matrix product)"
   ]
  },
  {
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  },
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   "source": [
    "### Given a 1D array, negate all elements which are between 3 and 8, in place. "
   ]
  },
  {
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   "source": [
    "### How to find common values between two arrays?"
   ]
  },
  {
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   "source": [
    "### Consider two random array A and B, check if they are equal "
   ]
  },
  {
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   "source": [
    "### Create random vector of size 10 and replace the maximum value by 0 "
   ]
  },
  {
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  },
  {
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   "source": [
    "### Subtract the mean of each row of a matrix "
   ]
  },
  {
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  },
  {
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   "source": [
    "### How to sort an array by the nth column? "
   ]
  },
  {
   "cell_type": "code",
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Considering a four dimensions array, how to get sum over the last two axis at once?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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  },
  {
   "cell_type": "markdown",
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   "source": [
    "### How to swap two rows of an array?"
   ]
  },
  {
   "cell_type": "code",
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  },
  {
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   "source": [
    "### How to compute averages using a sliding window over an array?"
   ]
  },
  {
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  },
  {
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   "source": [
    "### How to find the most frequent value in an array?"
   ]
  },
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   "source": [
    "### For more questions, refer:\n",
    "\n",
    "- [Numpy 100 exerxises](https://github.com/rougier/numpy-100/blob/master/100_Numpy_exercises.ipynb)\n",
    "- [Python Data Science Practice book](https://github.com/jakevdp/PythonDataScienceHandbook/tree/master/notebooks)"
   ]
  }
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