From e6fc35d3c812e11f33c86059277b61a3e53b13ca Mon Sep 17 00:00:00 2001
From: Danu Jaya Saputro <danujaya04@gmail.com>
Date: Sun, 21 May 2023 15:43:38 +0700
Subject: [PATCH] =?UTF-8?q?I=20did=20the=20exercise1=20=F0=9F=8D=89?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 1_Array_creation_routines.ipynb | 330 ++++++++++++++++++++------------
 1 file changed, 204 insertions(+), 126 deletions(-)

diff --git a/1_Array_creation_routines.ipynb b/1_Array_creation_routines.ipynb
index 71790b6..28f3f3d 100644
--- a/1_Array_creation_routines.ipynb
+++ b/1_Array_creation_routines.ipynb
@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -8,6 +9,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -16,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "collapsed": true
    },
@@ -26,6 +28,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -34,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
@@ -42,18 +45,21 @@
     {
      "data": {
       "text/plain": [
-       "array([[0, 0],\n",
-       "       [0, 0]])"
+       "array([[ 1567534423,  1190625924],\n",
+       "       [-1269061454,  -617151105]])"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.empty([2,2], int)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -63,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
@@ -75,16 +81,18 @@
        "       [4, 5, 6]])"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "X = np.array([[1,2,3], [4,5,6]], np.int32)\n"
+    "X = np.array([[1,2,3], [4,5,6]], np.int32)\n",
+    "np.empty_like(X)"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -93,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
@@ -101,21 +109,23 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 1.,  0.,  0.],\n",
-       "       [ 0.,  1.,  0.],\n",
-       "       [ 0.,  0.,  1.]])"
+       "array([[1., 0., 0.],\n",
+       "       [0., 1., 0.],\n",
+       "       [0., 0., 1.]])"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.eye(3)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -123,19 +133,22 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 1.,  0.,  0.],\n",
-       "       [ 0.,  1.,  0.],\n",
-       "       [ 0.,  0.,  1.]])"
+       "array([[1., 0., 0.],\n",
+       "       [0., 1., 0.],\n",
+       "       [0., 0., 1.]])"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.identity(3)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -144,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -152,19 +165,22 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 1.,  1.],\n",
-       "       [ 1.,  1.],\n",
-       "       [ 1.,  1.]])"
+       "array([[1., 1.],\n",
+       "       [1., 1.],\n",
+       "       [1., 1.]])"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.ones([3,2],float)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -173,7 +189,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
@@ -184,16 +200,18 @@
        "array([1, 1, 1, 1], dtype=int64)"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = np.arange(4, dtype=np.int64)\n"
+    "x = np.arange(4, dtype=np.int64)\n",
+    "np.ones_like(x)\n"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -202,7 +220,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
@@ -210,19 +228,22 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 0.,  0.],\n",
-       "       [ 0.,  0.],\n",
-       "       [ 0.,  0.]])"
+       "array([[0., 0.],\n",
+       "       [0., 0.],\n",
+       "       [0., 0.]])"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.zeros([3,2], float)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -231,7 +252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
@@ -242,16 +263,18 @@
        "array([0, 0, 0, 0], dtype=int64)"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = np.arange(4, dtype=np.int64)\n"
+    "x = np.arange(4, dtype=np.int64)\n",
+    "np.zeros_like(x)"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -260,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
@@ -272,14 +295,17 @@
        "       [6, 6, 6, 6, 6]], dtype=uint32)"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.full((2,5),6, dtype=np.uint)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -288,7 +314,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
@@ -299,16 +325,18 @@
        "array([6, 6, 6, 6], dtype=int64)"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = np.arange(4, dtype=np.int64)\n"
+    "x = np.arange(4, dtype=np.int64)\n",
+    "np.full_like(x,6)\n"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -316,6 +344,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -324,7 +353,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
@@ -335,14 +364,17 @@
        "array([1, 2, 3])"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.array([1, 2, 3])"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -351,7 +383,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -362,16 +394,18 @@
        "array([1, 2])"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = [1,2]\n"
+    "x = [1,2]\n",
+    "np.asarray(x)"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -380,7 +414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -392,16 +426,18 @@
        "        [3, 4]])"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "X = np.array([[1, 2], [3, 4]])\n"
+    "X = np.array([[1, 2], [3, 4]])\n",
+    "np.asmatrix(X)"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -410,7 +446,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -418,19 +454,21 @@
     {
      "data": {
       "text/plain": [
-       "array([ 1.,  2.])"
+       "array([1., 2.])"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = [1, 2]\n"
+    "x = [1, 2]\n",
+    "np.asarray(x, float)"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -439,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -450,16 +488,18 @@
        "30"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = np.array([30])\n"
+    "x = np.array([30])\n",
+    "x[0]"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -468,7 +508,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 24,
    "metadata": {
     "collapsed": false
    },
@@ -477,16 +517,30 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "70140352 [1 2 3]\n",
-      "70140752 [1 2 3]\n"
+      "[1 2 3]\n",
+      "[1 2 3]\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(None, array([1, 2, 3]))"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = np.array([1, 2, 3])\n"
+    "x = np.array([1, 2, 3])\n",
+    "y = np.copy(x)\n",
+    "print (x), x \n",
+    "print (y), y"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -494,6 +548,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -502,7 +557,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -516,14 +571,17 @@
        "        80,  82,  84,  86,  88,  90,  92,  94,  96,  98, 100])"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.arange(2,101,2)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -532,7 +590,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
@@ -540,29 +598,29 @@
     {
      "data": {
       "text/plain": [
-       "array([  3.        ,   3.14285714,   3.28571429,   3.42857143,\n",
-       "         3.57142857,   3.71428571,   3.85714286,   4.        ,\n",
-       "         4.14285714,   4.28571429,   4.42857143,   4.57142857,\n",
-       "         4.71428571,   4.85714286,   5.        ,   5.14285714,\n",
-       "         5.28571429,   5.42857143,   5.57142857,   5.71428571,\n",
-       "         5.85714286,   6.        ,   6.14285714,   6.28571429,\n",
-       "         6.42857143,   6.57142857,   6.71428571,   6.85714286,\n",
-       "         7.        ,   7.14285714,   7.28571429,   7.42857143,\n",
-       "         7.57142857,   7.71428571,   7.85714286,   8.        ,\n",
-       "         8.14285714,   8.28571429,   8.42857143,   8.57142857,\n",
-       "         8.71428571,   8.85714286,   9.        ,   9.14285714,\n",
-       "         9.28571429,   9.42857143,   9.57142857,   9.71428571,\n",
-       "         9.85714286,  10.        ])"
+       "array([ 3.        ,  3.14285714,  3.28571429,  3.42857143,  3.57142857,\n",
+       "        3.71428571,  3.85714286,  4.        ,  4.14285714,  4.28571429,\n",
+       "        4.42857143,  4.57142857,  4.71428571,  4.85714286,  5.        ,\n",
+       "        5.14285714,  5.28571429,  5.42857143,  5.57142857,  5.71428571,\n",
+       "        5.85714286,  6.        ,  6.14285714,  6.28571429,  6.42857143,\n",
+       "        6.57142857,  6.71428571,  6.85714286,  7.        ,  7.14285714,\n",
+       "        7.28571429,  7.42857143,  7.57142857,  7.71428571,  7.85714286,\n",
+       "        8.        ,  8.14285714,  8.28571429,  8.42857143,  8.57142857,\n",
+       "        8.71428571,  8.85714286,  9.        ,  9.14285714,  9.28571429,\n",
+       "        9.42857143,  9.57142857,  9.71428571,  9.85714286, 10.        ])"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.linspace(3. ,10,50)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -571,7 +629,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
@@ -579,33 +637,32 @@
     {
      "data": {
       "text/plain": [
-       "array([  1.00000000e+03,   1.38038426e+03,   1.90546072e+03,\n",
-       "         2.63026799e+03,   3.63078055e+03,   5.01187234e+03,\n",
-       "         6.91830971e+03,   9.54992586e+03,   1.31825674e+04,\n",
-       "         1.81970086e+04,   2.51188643e+04,   3.46736850e+04,\n",
-       "         4.78630092e+04,   6.60693448e+04,   9.12010839e+04,\n",
-       "         1.25892541e+05,   1.73780083e+05,   2.39883292e+05,\n",
-       "         3.31131121e+05,   4.57088190e+05,   6.30957344e+05,\n",
-       "         8.70963590e+05,   1.20226443e+06,   1.65958691e+06,\n",
-       "         2.29086765e+06,   3.16227766e+06,   4.36515832e+06,\n",
-       "         6.02559586e+06,   8.31763771e+06,   1.14815362e+07,\n",
-       "         1.58489319e+07,   2.18776162e+07,   3.01995172e+07,\n",
-       "         4.16869383e+07,   5.75439937e+07,   7.94328235e+07,\n",
-       "         1.09647820e+08,   1.51356125e+08,   2.08929613e+08,\n",
-       "         2.88403150e+08,   3.98107171e+08,   5.49540874e+08,\n",
-       "         7.58577575e+08,   1.04712855e+09,   1.44543977e+09,\n",
-       "         1.99526231e+09,   2.75422870e+09,   3.80189396e+09,\n",
-       "         5.24807460e+09,   7.24435960e+09])"
+       "array([1.00000000e+03, 1.38949549e+03, 1.93069773e+03, 2.68269580e+03,\n",
+       "       3.72759372e+03, 5.17947468e+03, 7.19685673e+03, 1.00000000e+04,\n",
+       "       1.38949549e+04, 1.93069773e+04, 2.68269580e+04, 3.72759372e+04,\n",
+       "       5.17947468e+04, 7.19685673e+04, 1.00000000e+05, 1.38949549e+05,\n",
+       "       1.93069773e+05, 2.68269580e+05, 3.72759372e+05, 5.17947468e+05,\n",
+       "       7.19685673e+05, 1.00000000e+06, 1.38949549e+06, 1.93069773e+06,\n",
+       "       2.68269580e+06, 3.72759372e+06, 5.17947468e+06, 7.19685673e+06,\n",
+       "       1.00000000e+07, 1.38949549e+07, 1.93069773e+07, 2.68269580e+07,\n",
+       "       3.72759372e+07, 5.17947468e+07, 7.19685673e+07, 1.00000000e+08,\n",
+       "       1.38949549e+08, 1.93069773e+08, 2.68269580e+08, 3.72759372e+08,\n",
+       "       5.17947468e+08, 7.19685673e+08, 1.00000000e+09, 1.38949549e+09,\n",
+       "       1.93069773e+09, 2.68269580e+09, 3.72759372e+09, 5.17947468e+09,\n",
+       "       7.19685673e+09, 1.00000000e+10])"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.logspace(3. , 10, 50)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -613,6 +670,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -624,7 +682,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 29,
    "metadata": {
     "collapsed": false
    },
@@ -635,16 +693,18 @@
        "array([ 0,  5, 10])"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "X = np.array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]])\n"
+    "X = np.array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]])\n",
+    "np.diag(X)"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -653,7 +713,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -667,14 +727,17 @@
        "       [0, 0, 0, 4]])"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.diagflat([1,2,3,4])"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -686,7 +749,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -694,19 +757,22 @@
     {
      "data": {
       "text/plain": [
-       "array([[ 0.,  0.,  0.,  0.,  0.],\n",
-       "       [ 1.,  0.,  0.,  0.,  0.],\n",
-       "       [ 1.,  1.,  0.,  0.,  0.]])"
+       "array([[0., 0., 0., 0., 0.],\n",
+       "       [1., 0., 0., 0., 0.],\n",
+       "       [1., 1., 0., 0., 0.]])"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.tri(3, 5, -1)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -719,7 +785,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 32,
    "metadata": {
     "collapsed": false
    },
@@ -733,14 +799,17 @@
        "       [10, 11, 12]])"
       ]
      },
-     "execution_count": 101,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.tril(np.arange(1,13).reshape(4,3),-1)"
+   ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -752,7 +821,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 35,
    "metadata": {
     "collapsed": false
    },
@@ -766,31 +835,40 @@
        "       [ 0,  0, 12]])"
       ]
      },
-     "execution_count": 102,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
+   "source": [
+    "np.triu(np.arange(1,13).reshape(4,3),-1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,