diff --git a/1_Array_creation_routines.ipynb b/1_Array_creation_routines.ipynb
index 71790b6..d631bf7 100644
--- a/1_Array_creation_routines.ipynb
+++ b/1_Array_creation_routines.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "collapsed": true
    },
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 3,
    "metadata": {
     "collapsed": false
    },
@@ -43,15 +43,17 @@
      "data": {
       "text/plain": [
        "array([[0, 0],\n",
-       "       [0, 0]])"
+       "       [0, 0]], dtype=int32)"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.zeros((2,2), np.int32)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -63,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 4,
    "metadata": {
     "collapsed": false
    },
@@ -72,16 +74,18 @@
      "data": {
       "text/plain": [
        "array([[1, 2, 3],\n",
-       "       [4, 5, 6]])"
+       "       [4, 5, 6]], dtype=int32)"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 4,
      "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",
+    "\n",
+    "np.array(X)"
    ]
   },
   {
@@ -93,7 +97,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 5,
    "metadata": {
     "collapsed": false
    },
@@ -101,38 +105,27 @@
     {
      "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": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.eye(3)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 1.,  0.,  0.],\n",
-       "       [ 0.,  1.,  0.],\n",
-       "       [ 0.,  0.,  1.]])"
-      ]
-     },
-     "execution_count": 35,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": []
   },
   {
@@ -144,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -152,17 +145,19 @@
     {
      "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": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.ones((3,2), dtype=float)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -173,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
@@ -181,16 +176,17 @@
     {
      "data": {
       "text/plain": [
-       "array([1, 1, 1, 1], dtype=int64)"
+       "array([[1, 1, 1, 1]])"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 19,
      "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)"
    ]
   },
   {
@@ -202,7 +198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
@@ -210,17 +206,19 @@
     {
      "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": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.zeros((3,2), dtype=float)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -231,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 21,
    "metadata": {
     "collapsed": false
    },
@@ -239,16 +237,17 @@
     {
      "data": {
       "text/plain": [
-       "array([0, 0, 0, 0], dtype=int64)"
+       "array([0, 0, 0, 0])"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 21,
      "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)"
    ]
   },
   {
@@ -260,7 +259,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -269,15 +268,17 @@
      "data": {
       "text/plain": [
        "array([[6, 6, 6, 6, 6],\n",
-       "       [6, 6, 6, 6, 6]], dtype=uint32)"
+       "       [6, 6, 6, 6, 6]], dtype=uint64)"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.full((2,5), 6, dtype= np.uint)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -288,7 +289,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 25,
    "metadata": {
     "collapsed": false
    },
@@ -296,16 +297,17 @@
     {
      "data": {
       "text/plain": [
-       "array([6, 6, 6, 6], dtype=int64)"
+       "array([6, 6, 6, 6])"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 25,
      "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)"
    ]
   },
   {
@@ -324,7 +326,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 27,
    "metadata": {
     "collapsed": false
    },
@@ -335,12 +337,14 @@
        "array([1, 2, 3])"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "source": []
+   "source": [
+    "np.array([1,2,3])"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -351,7 +355,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 28,
    "metadata": {
     "collapsed": false
    },
@@ -362,13 +366,14 @@
        "array([1, 2])"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "x = [1,2]\n"
+    "x = [1,2]\n",
+    "np.asarray(x)"
    ]
   },
   {
@@ -380,7 +385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 30,
    "metadata": {
     "collapsed": false
    },
@@ -392,13 +397,14 @@
        "        [3, 4]])"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 30,
      "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)"
    ]
   },
   {
@@ -410,24 +416,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "array([ 1.,  2.])"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "AttributeError",
+     "evalue": "`np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
+      "\u001b[31mAttributeError\u001b[39m                            Traceback (most recent call last)",
+      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[32]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m x = [\u001b[32m1\u001b[39m, \u001b[32m2\u001b[39m]\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m \u001b[43mnp\u001b[49m\u001b[43m.\u001b[49m\u001b[43masfarray\u001b[49m(x)\n",
+      "\u001b[36mFile \u001b[39m\u001b[32mc:\\Users\\Emmi\\AppData\\Local\\Programs\\Python\\Python313\\Lib\\site-packages\\numpy\\__init__.py:794\u001b[39m, in \u001b[36m__getattr__\u001b[39m\u001b[34m(attr)\u001b[39m\n\u001b[32m    791\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(__former_attrs__[attr], name=\u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[32m    793\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m attr \u001b[38;5;129;01min\u001b[39;00m __expired_attributes__:\n\u001b[32m--> \u001b[39m\u001b[32m794\u001b[39m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\n\u001b[32m    795\u001b[39m         \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33m`np.\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mattr\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m` was removed in the NumPy 2.0 release. \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    796\u001b[39m         \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m__expired_attributes__[attr]\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m\"\u001b[39m,\n\u001b[32m    797\u001b[39m         name=\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[32m    798\u001b[39m     )\n\u001b[32m    800\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m attr == \u001b[33m\"\u001b[39m\u001b[33mchararray\u001b[39m\u001b[33m\"\u001b[39m:\n\u001b[32m    801\u001b[39m     warnings.warn(\n\u001b[32m    802\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33m`np.chararray` is deprecated and will be removed from \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    803\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mthe main namespace in the future. Use an array with a string \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m    804\u001b[39m         \u001b[33m\"\u001b[39m\u001b[33mor bytes dtype instead.\u001b[39m\u001b[33m\"\u001b[39m, \u001b[38;5;167;01mDeprecationWarning\u001b[39;00m, stacklevel=\u001b[32m2\u001b[39m)\n",
+      "\u001b[31mAttributeError\u001b[39m: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead."
+     ]
     }
    ],
    "source": [
-    "x = [1, 2]\n"
+    "x = [1, 2]\n",
+    "np.asfarr"
    ]
   },
   {
@@ -439,22 +448,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "30"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "x = np.array([30])\n"
    ]
@@ -468,20 +466,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "70140352 [1 2 3]\n",
-      "70140752 [1 2 3]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "x = np.array([1, 2, 3])\n"
    ]
@@ -502,25 +491,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([  2,   4,   6,   8,  10,  12,  14,  16,  18,  20,  22,  24,  26,\n",
-       "        28,  30,  32,  34,  36,  38,  40,  42,  44,  46,  48,  50,  52,\n",
-       "        54,  56,  58,  60,  62,  64,  66,  68,  70,  72,  74,  76,  78,\n",
-       "        80,  82,  84,  86,  88,  90,  92,  94,  96,  98, 100])"
-      ]
-     },
-     "execution_count": 85,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": []
   },
   {
@@ -532,34 +507,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "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.        ])"
-      ]
-     },
-     "execution_count": 86,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": []
   },
   {
@@ -571,38 +523,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "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])"
-      ]
-     },
-     "execution_count": 88,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": []
   },
   {
@@ -624,22 +549,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 0,  5, 10])"
-      ]
-     },
-     "execution_count": 93,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "X = np.array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]])\n"
    ]
@@ -653,25 +567,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[1, 0, 0, 0],\n",
-       "       [0, 2, 0, 0],\n",
-       "       [0, 0, 3, 0],\n",
-       "       [0, 0, 0, 4]])"
-      ]
-     },
-     "execution_count": 95,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": []
   },
   {
@@ -686,24 +586,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 0.,  0.,  0.,  0.,  0.],\n",
-       "       [ 1.,  0.,  0.,  0.,  0.],\n",
-       "       [ 1.,  1.,  0.,  0.,  0.]])"
-      ]
-     },
-     "execution_count": 97,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": []
   },
   {
@@ -719,25 +606,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 0,  0,  0],\n",
-       "       [ 4,  0,  0],\n",
-       "       [ 7,  8,  0],\n",
-       "       [10, 11, 12]])"
-      ]
-     },
-     "execution_count": 101,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": []
   },
   {
@@ -752,45 +625,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": null,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 1,  2,  3],\n",
-       "       [ 4,  5,  6],\n",
-       "       [ 0,  8,  9],\n",
-       "       [ 0,  0, 12]])"
-      ]
-     },
-     "execution_count": 102,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "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": "3.13.0"
   }
  },
  "nbformat": 4,
diff --git a/emmitest.md b/emmitest.md
new file mode 100644
index 0000000..cce19ed
--- /dev/null
+++ b/emmitest.md
@@ -0,0 +1 @@
+sdSDSA
diff --git a/test.md b/test.md
new file mode 100644
index 0000000..e69de29