Change more markdown

smith-kyle · smith-kyle · commit 535262a3f868 · 2024-01-17T12:57:04.000-08:00
diff --git a/pandas-example.ipynb b/pandas-example.ipynb
@@ -23,7 +23,7 @@
         "\n",
         "Pandas includes a couple useful twists, however: for unary operations like negation and trigonometric functions, these ufuncs will *preserve index and column labels* in the output, and for binary operations such as addition and multiplication, Pandas will automatically *align indices* when passing the objects to the ufunc.\n",
         "This means that keeping the context of data and combining data from different sources–both potentially error-prone tasks with raw NumPy arrays–become essentially foolproof ones with Pandas.\n",
-        "We will additionally see that there are well-defined operations between one-dimensional ``Series`` structures and two-dimensional ``DataFrame`` structures."
+        "We will additionally see that there are well-defined operations between one-dimensional Series structures and two-dimensional DataFrame structures."
       ]
     },
     {

Original file line number	Diff line number	Diff line change
`@@ -23,7 +23,7 @@`
`23`	`23`	`"\n",`
`24`	`24`	`"Pandas includes a couple useful twists, however: for unary operations like negation and trigonometric functions, these ufuncs will preserve index and column labels in the output, and for binary operations such as addition and multiplication, Pandas will automatically align indices when passing the objects to the ufunc.\n",`
`25`	`25`	`"This means that keeping the context of data and combining data from different sources–both potentially error-prone tasks with raw NumPy arrays–become essentially foolproof ones with Pandas.\n",`
`26`		- "We will additionally see that there are well-defined operations between one-dimensional ``Series`` structures and two-dimensional ``DataFrame`` structures."
	`26`	`+ "We will additionally see that there are well-defined operations between one-dimensional Series structures and two-dimensional DataFrame structures."`
`27`	`27`	`]`
`28`	`28`	`},`
`29`	`29`	`{`