Numphy.ipynb

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    "from array import array"
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       "array('i', [1, 2, 3, 4, 5])"
      ]
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     "execution_count": 4,
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    "array('i',[1,2,3,4,5])\n"
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   "source": [
    "import numpy"
   ]
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   "cell_type": "code",
   "execution_count": 6,
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    {
     "data": {
      "text/plain": [
       "<module 'numpy.fft' from 'C:\\Users\\Vamps\\Anaconda2\\lib\\site-packages\\numpy\\fft\\__init__.pyc'>"
      ]
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     "execution_count": 6,
     "metadata": {},
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   "source": [
    "numpy.fft"
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  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
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   "source": [
    "from numpy import fft,f2py"
   ]
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  {
   "cell_type": "code",
   "execution_count": 8,
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'numpy.fft' from 'C:\\Users\\Vamps\\Anaconda2\\lib\\site-packages\\numpy\\fft\\__init__.pyc'>"
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     "execution_count": 8,
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    "fft"
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   "cell_type": "code",
   "execution_count": 9,
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    {
     "data": {
      "text/plain": [
       "<module 'numpy.f2py' from 'C:\\Users\\Vamps\\Anaconda2\\lib\\site-packages\\numpy\\f2py\\__init__.py'>"
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     "execution_count": 9,
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   "source": [
    "f2py"
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  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "from numpy.linalg import linalg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "import numpy as np"
   ]
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   "cell_type": "code",
   "execution_count": 13,
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   "outputs": [],
   "source": [
    "b=np.array([1,4,7])"
   ]
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   "cell_type": "code",
   "execution_count": 14,
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   "source": [
    "dir(b)"
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       "dtype('int32')"
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    "b.dtype"
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       "dtype('float64')"
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   "source": [
    "\n",
    "np.array([1.2, 4.5]).dtype"
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       "3"
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    "b.size"
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   "cell_type": "code",
   "execution_count": 20,
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    {
     "data": {
      "text/plain": [
       "(3L,)"
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     "execution_count": 20,
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   "source": [
    "b.shape"
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