mxnet_draft.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import mxnet as mx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 3 4 5 6 7 8 9]\n"
     ]
    }
   ],
   "source": [
    "a = np.array([1, 2, 3])\n",
    "b = np.array([[4, 5, 6], [7, 8, 9]])\n",
    "out = np.append(a, b)\n",
    "print(out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[1. 2. 3. 4. 5. 6. 7. 8. 9.]\n",
      "<NDArray 9 @cpu(0)>\n"
     ]
    }
   ],
   "source": [
    "a = mx.nd.array([1, 2, 3])\n",
    "b = mx.nd.array([[4, 5, 6], [7, 8, 9]])\n",
    "a = a.expand_dims(0)\n",
    "out = mx.nd.concat(a, b, dim=0)\n",
    "out = out.reshape(shape=(-1,))\n",
    "print(out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<zip object at 0x1a21d1c288>\n"
     ]
    }
   ],
   "source": [
    "x = [1, 2]\n",
    "y = [3, 4]\n",
    "z = [5, 6]\n",
    "print(zip(x ,y, z))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}