diff --git a/learning.ipynb b/learning.ipynb
index f049810f2..b81fa3ca8 100644
--- a/learning.ipynb
+++ b/learning.ipynb
@@ -374,27 +374,21 @@
"source": [
"def load_MNIST(path=\"aima-data/MNIST\"):\n",
" \"helper function to load MNIST data\"\n",
- " train_img_file = open(os.path.join(path, \"train-images-idx3-ubyte\"), \"rb\")\n",
- " train_lbl_file = open(os.path.join(path, \"train-labels-idx1-ubyte\"), \"rb\")\n",
- " test_img_file = open(os.path.join(path, \"t10k-images-idx3-ubyte\"), \"rb\")\n",
- " test_lbl_file = open(os.path.join(path, 't10k-labels-idx1-ubyte'), \"rb\")\n",
+ " with open(os.path.join(path, \"train-images-idx3-ubyte\"), \"rb\") as train_img_file:\n",
+ " magic_nr, tr_size, tr_rows, tr_cols = struct.unpack(\">IIII\", train_img_file.read(16))\n",
+ " tr_img = array.array(\"B\", train_img_file.read())\n",
" \n",
- " magic_nr, tr_size, tr_rows, tr_cols = struct.unpack(\">IIII\", train_img_file.read(16))\n",
- " tr_img = array.array(\"B\", train_img_file.read())\n",
- " train_img_file.close() \n",
- " magic_nr, tr_size = struct.unpack(\">II\", train_lbl_file.read(8))\n",
- " tr_lbl = array.array(\"b\", train_lbl_file.read())\n",
- " train_lbl_file.close()\n",
+ " with open(os.path.join(path, \"train-labels-idx1-ubyte\"), \"rb\") as train_lbl_file:\n",
+ " magic_nr, tr_size = struct.unpack(\">II\", train_lbl_file.read(8))\n",
+ " tr_lbl = array.array(\"b\", train_lbl_file.read())\n",
" \n",
- " magic_nr, te_size, te_rows, te_cols = struct.unpack(\">IIII\", test_img_file.read(16))\n",
- " te_img = array.array(\"B\", test_img_file.read())\n",
- " test_img_file.close()\n",
- " magic_nr, te_size = struct.unpack(\">II\", test_lbl_file.read(8))\n",
- " te_lbl = array.array(\"b\", test_lbl_file.read())\n",
- " test_lbl_file.close()\n",
- "\n",
- "# print(len(tr_img), len(tr_lbl), tr_size)\n",
- "# print(len(te_img), len(te_lbl), te_size)\n",
+ " with open(os.path.join(path, \"t10k-images-idx3-ubyte\"), \"rb\") as test_img_file:\n",
+ " magic_nr, te_size, te_rows, te_cols = struct.unpack(\">IIII\", test_img_file.read(16))\n",
+ " te_img = array.array(\"B\", test_img_file.read())\n",
+ " \n",
+ " with open(os.path.join(path, \"t10k-labels-idx1-ubyte\"), \"rb\") as test_lbl_file:\n",
+ " magic_nr, te_size = struct.unpack(\">II\", test_lbl_file.read(8))\n",
+ " te_lbl = array.array(\"b\", test_lbl_file.read())\n",
" \n",
" train_img = np.zeros((tr_size, tr_rows*tr_cols), dtype=np.int16)\n",
" train_lbl = np.zeros((tr_size,), dtype=np.int8)\n",
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