machinelearning_notebook/exercise/1_basic/2_numpy.ipynb

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    "## 数值计算\n",
    "\n",
    "\n",
    "### （1）对于一个存在在数组，如何添加一个用0填充的边界?\n",
    "例如对一个二维矩阵\n",
    "```\n",
    "10, 34, 54, 23\n",
    "31, 87, 53, 68\n",
    "98, 49, 25, 11\n",
    "84, 32, 67, 88\n",
    "```\n",
    "\n",
    "变换成\n",
    "```\n",
    " 0,  0,  0,  0,  0, 0\n",
    " 0, 10, 34, 54, 23, 0\n",
    " 0, 31, 87, 53, 68, 0\n",
    " 0, 98, 49, 25, 11, 0\n",
    " 0, 84, 32, 67, 88, 0\n",
    " 0,  0,  0,  0,  0, 0\n",
    "```\n",
    "\n",
    "### （2） 创建一个 5x5的矩阵，并设置值1,2,3,4落在其对角线下方位置\n",
    "\n",
    "\n",
    "### （3） 创建一个8x8 的矩阵，并且设置成国际象棋棋盘样式（黑可以用0, 白可以用1）\n",
    "\n",
    "\n",
    "### （4）求解线性方程组\n",
    "\n",
    "给定一个方程组，如何求出其的方程解。有多种方法，分析各种方法的优缺点（最简单的方式是消元方）。\n",
    "\n",
    "例如\n",
    "```\n",
    "3x + 4y + 2z = 10\n",
    "5x + 3y + 4z = 14\n",
    "8x + 2y + 7z = 20\n",
    "```\n",
    "\n",
    "编程写出求解的程序\n",
    "\n",
    "\n",
    "### （5） 翻转一个数组（第一个元素变成最后一个）\n",
    "\n",
    "\n",
    "### （6） 产生一个十乘十随机数组，并且找出最大和最小值\n",
    "\n",
    "\n",
    "## Reference\n",
    "* [100 numpy exercises](https://github.com/rougier/numpy-100)"
   ]
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