Intrinsic NumPy array creation using NumPy's methods.ipynb

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   "source": [
    "<h2>Intrinsic NumPy array creation using NumPy's methods</h2>"
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   "source": [
    "import numpy as np"
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    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6])"
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     "execution_count": 2,
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    "np.arange(7)"
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   "cell_type": "code",
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 8,  9, 10, 11, 12, 13, 14])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
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   ],
   "source": [
    "np.arange(8,15)"
   ]
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
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   ],
   "source": [
    "np.arange(8,15)-8"
   ]
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   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6, 7])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "np.arange(8,15)-8+1"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
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       "7"
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     "execution_count": 6,
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   "source": [
    "len(np.arange(8,15))"
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   "execution_count": 7,
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    {
     "data": {
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       "7"
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     "execution_count": 7,
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   ],
   "source": [
    "my_range_array = np.arange(8,15)\n",
    "my_range_array.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3,  8, 13])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "np.arange(3,17,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  5, 10, 15, 20, 25, 30, 35])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "np.arange(36, step = 5)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  5, 10, 15, 20, 25, 30, 35])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(0,36, step = 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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