Adds reflection notes about data types

craigsdennis · craigsdennis · commit 7fa174b48541 · 2018-07-02T12:50:28.000-07:00
diff --git a/Introduction to NumPy.ipynb b/Introduction to NumPy.ipynb
@@ -215,7 +215,10 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## About data types\n"
+    "## About data types\n",
+    "* By choosing the proper [data type](https://docs.scipy.org/doc/numpy-1.14.0/user/basics.types.html) you can greatly reduce the size required to store objects\n",
+    "* Data types are maintained by wrapping values in a [scalar representation](https://docs.scipy.org/doc/numpy-1.14.0/reference/arrays.scalars.html)\n",
+    "* `np.zeros` is a handy way to create an empty array filled with zeros."
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -215,7 +215,10 @@`
`215`	`215`	`"cell_type": "markdown",`
`216`	`216`	`"metadata": {},`
`217`	`217`	`"source": [`
`218`		`- "## About data types\n"`
	`218`	`+ "## About data types\n",`
	`219`	`+ "* By choosing the proper [data type](https://docs.scipy.org/doc/numpy-1.14.0/user/basics.types.html) you can greatly reduce the size required to store objects\n",`
	`220`	`+ "* Data types are maintained by wrapping values in a [scalar representation](https://docs.scipy.org/doc/numpy-1.14.0/reference/arrays.scalars.html)\n",`
	`221`	+ "* `np.zeros` is a handy way to create an empty array filled with zeros."
`219`	`222`	`]`
`220`	`223`	`},`
`221`	`224`	`{`