Fix sentence fragment

jsignell · jsignell · commit e0063c5f562b · 2022-07-10T07:38:24.000-04:00
diff --git a/01_dataframe.ipynb b/01_dataframe.ipynb
@@ -16,7 +16,7 @@
     "\n",
     "Looks and feels like the pandas API, but for parallel and distributed workflows. \n",
     "\n",
-    "At its core, the `dask.dataframe` module implements a \"blocked parallel\" `DataFrame` object that. One Dask `DataFrame` is comprised of many in-memory pandas `DataFrame`s separated along the index. One operation on a Dask `DataFrame` triggers many pandas operations on the constituent pandas `DataFrame`s in a way that is mindful of potential parallelism and memory constraints.\n"
+    "At its core, the `dask.dataframe` module implements a \"blocked parallel\" `DataFrame` object that looks and feels like the pandas API, but for parallel and distributed workflows. One Dask `DataFrame` is comprised of many in-memory pandas `DataFrame`s separated along the index. One operation on a Dask `DataFrame` triggers many pandas operations on the constituent pandas `DataFrame`s in a way that is mindful of potential parallelism and memory constraints.\n"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -16,7 +16,7 @@`
`16`	`16`	`"\n",`
`17`	`17`	`"Looks and feels like the pandas API, but for parallel and distributed workflows. \n",`
`18`	`18`	`"\n",`
`19`		- "At its core, the `dask.dataframe` module implements a \"blocked parallel\" `DataFrame` object that. One Dask `DataFrame` is comprised of many in-memory pandas `DataFrame`s separated along the index. One operation on a Dask `DataFrame` triggers many pandas operations on the constituent pandas `DataFrame`s in a way that is mindful of potential parallelism and memory constraints.\n"
	`19`	+ "At its core, the `dask.dataframe` module implements a \"blocked parallel\" `DataFrame` object that looks and feels like the pandas API, but for parallel and distributed workflows. One Dask `DataFrame` is comprised of many in-memory pandas `DataFrame`s separated along the index. One operation on a Dask `DataFrame` triggers many pandas operations on the constituent pandas `DataFrame`s in a way that is mindful of potential parallelism and memory constraints.\n"
`20`	`20`	`]`
`21`	`21`	`},`
`22`	`22`	`{`