Skip to content

Commit 1ea09d4

Browse files
committed
week3: merge diff
1 parent 3cfbcd8 commit 1ea09d4

File tree

1 file changed

+0
-27
lines changed

1 file changed

+0
-27
lines changed

week3_VariablesDataTypes.ipynb

Lines changed: 0 additions & 27 deletions
Original file line numberDiff line numberDiff line change
@@ -1498,7 +1498,6 @@
14981498
},
14991499
{
15001500
"cell_type": "code",
1501-
<<<<<<< HEAD
15021501
"execution_count": 81,
15031502
"metadata": {},
15041503
"outputs": [],
@@ -1557,32 +1556,6 @@
15571556
" ['c', 'd'])\n",
15581557
"two_dimension_tuple[0][1] = 'z'\n",
15591558
"two_dimension_tuple"
1560-
=======
1561-
"[<matplotlib.lines.Line2D at 0x25742ac6588>]"
1562-
]
1563-
},
1564-
"execution_count": 1,
1565-
"metadata": {},
1566-
"output_type": "execute_result"
1567-
},
1568-
{
1569-
"data": {
1570-
"image/png": "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\n",
1571-
"text/plain": [
1572-
"<Figure size 432x288 with 1 Axes>"
1573-
]
1574-
},
1575-
"metadata": {
1576-
"needs_background": "light"
1577-
},
1578-
"output_type": "display_data"
1579-
}
1580-
],
1581-
"source": [
1582-
"import matplotlib.pyplot as plt\n",
1583-
"\n",
1584-
"plt.plot([1,2,3], [5,6,5])"
1585-
>>>>>>> b9a7524097fd39c831daedfe912f477f22e63c8b
15861559
]
15871560
}
15881561
],

0 commit comments

Comments
 (0)