fix some typos

Author: alessandrofelder

ch01data/061internet.ipynb

@@ -40,7 +40,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This can be really powerful if we want to, for example, do automated metaanalysis across a selection of research papers."
+    "This can be really powerful if we want to, for example, perform an automated meta-analysis across a selection of research papers."
    ]
   },
   {

ch01data/064JsonYamlXML.ipynb

@@ -403,7 +403,7 @@
  ],
  "metadata": {
   "jekyll": {
-   "display_name": "Structured Datafiles"
+   "display_name": "Structured data files"
   },
   "kernelspec": {
    "display_name": "Python 3",

ch01data/070hdf5.ipynb

@@ -6,7 +6,7 @@
    "source": [
     "## Scientific File Formats\n",
     "\n",
-    "CSV, JSON and YAML are very common formats for representing general-purpose data, but their simplicity sometimes makes then inconvenient for scientific applications. A common drawback, for example, is that reading very large amounts of data from a CSV or JSON file can be inefficient. This has led to to the use of more targetted file formats which better address scientists' requirements for storing, accessing or manipulating data.\n",
+    "CSV, JSON and YAML are very common formats for representing general-purpose data, but their simplicity sometimes makes then inconvenient for scientific applications. A common drawback, for example, is that reading very large amounts of data from a CSV or JSON file can be inefficient. This has led to to the use of more targeted file formats which better address scientists' requirements for storing, accessing or manipulating data.\n",
     "\n",
     "In this section, we will see an example of such a file format, and how to interact with files written in it programmatically."
    ]

ch01data/084Boids.ipynb

@@ -72284,7 +72284,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Hopefully the power of NumPy should be pretty clear now. This would be **enormously slower** and, I think, harder to understand using traditional lists."
+    "Hopefully the power of NumPy should be pretty clear now. This would be **enormously slower** and harder to understand using traditional lists."
    ]
   }
  ],