Let's merge branches 2-6

README.md

@@ -2,7 +2,7 @@
 
 [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/jakevdp/PythonDataScienceHandbook/master?filepath=notebooks%2FIndex.ipynb)
 
-This repository contains the entire [Python Data Science Handbook](http://shop.oreilly.com/product/0636920034919.do), in the form of (free!) Jupyter notebooks.
+This is where I say goodbye repository contnaoins the entire [Python Data Science Handbook](http://shop.oreilly.com/product/0636920034919.do), in the form of (free!) Jupyter notebooks.
 
 ![cover image](notebooks/figures/PDSH-cover.png)
 

notebooks/02.00-Introduction-to-NumPy.ipynb

@@ -2,49 +2,39 @@
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-   "metadata": {
-    "deletable": true,
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-   },
+   "metadata": {},
    "source": [
     "<!--BOOK_INFORMATION-->\n",
-    "<img align=\"left\" style=\"padding-right:10px;\" src=\"figures/PDSH-cover-small.png\">\n",
+    "<img align=\"right\" style=\"padding-right:10px;\" src=\"figures/PDSH-cover-small.png\">\n",
     "*This notebook contains an excerpt from the [Python Data Science Handbook](http://shop.oreilly.com/product/0636920034919.do) by Jake VanderPlas; the content is available [on GitHub](https://github.com/jakevdp/PythonDataScienceHandbook).*\n",
     "\n",
     "*The text is released under the [CC-BY-NC-ND license](https://creativecommons.org/licenses/by-nc-nd/3.0/us/legalcode), and code is released under the [MIT license](https://opensource.org/licenses/MIT). If you find this content useful, please consider supporting the work by [buying the book](http://shop.oreilly.com/product/0636920034919.do)!*"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "deletable": true,
-    "editable": true
-   },
+   "metadata": {},
    "source": [
     "<!--NAVIGATION-->\n",
-    "< [More IPython Resources](01.08-More-IPython-Resources.ipynb) | [Contents](Index.ipynb) | [Understanding Data Types in Python](02.01-Understanding-Data-Types.ipynb) >"
+    "< [More Jupyter Resources](01.08-More-IPython-Resources.ipynb) | [Contents](Index.ipynb) | [Understanding Data Types in Python](02.01-Understanding-Data-Types.ipynb) >"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "deletable": true,
-    "editable": true
-   },
+   "metadata": {},
    "source": [
-    "# Introduction to NumPy"
+    "# Introduction to NumPy & Pandas"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "deletable": true,
-    "editable": true
-   },
+   "metadata": {},
    "source": [
     "This chapter, along with chapter 3, outlines techniques for effectively loading, storing, and manipulating in-memory data in Python.\n",
-    "The topic is very broad: datasets can come from a wide range of sources and a wide range of formats, including be collections of documents, collections of images, collections of sound clips, collections of numerical measurements, or nearly anything else.\n",
-    "Despite this apparent heterogeneity, it will help us to think of all data fundamentally as arrays of numbers.\n",
+    "The topic is very broad: datasets can come from a wide range of sources and a wide range of formats, including be collections of documents, collections of images, collections of sound clips, collections of numerical measurements, or nearly anything else. Let us look at following data formats:\n",
+    "\n",
+    "* Illustration of main Pandas methods\n",
+    "* Plotting DataFrame\n",
     "\n",
     "For example, images–particularly digital images–can be thought of as simply two-dimensional arrays of numbers representing pixel brightness across the area.\n",
     "Sound clips can be thought of as one-dimensional arrays of intensity versus time.\n",
@@ -67,11 +57,7 @@
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@@ -91,10 +77,7 @@
   },
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    "cell_type": "markdown",
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-    "editable": true
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+   "metadata": {},
    "source": [
     "For the pieces of the package discussed here, I'd recommend NumPy version 1.8 or later.\n",
     "By convention, you'll find that most people in the SciPy/PyData world will import NumPy using ``np`` as an alias:"
@@ -103,32 +86,22 @@
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-    "collapsed": false,
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+   "metadata": {},
    "outputs": [],
    "source": [
     "import numpy as np"
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "deletable": true,
-    "editable": true
-   },
+   "metadata": {},
    "source": [
     "Throughout this chapter, and indeed the rest of the book, you'll find that this is the way we will import and use NumPy."
    ]
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "deletable": true,
-    "editable": true
-   },
+   "metadata": {},
    "source": [
     "## Reminder about Built In Documentation\n",
     "\n",
@@ -151,10 +124,7 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {
-    "deletable": true,
-    "editable": true
-   },
+   "metadata": {},
    "source": [
     "<!--NAVIGATION-->\n",
     "< [More IPython Resources](01.08-More-IPython-Resources.ipynb) | [Contents](Index.ipynb) | [Understanding Data Types in Python](02.01-Understanding-Data-Types.ipynb) >"
@@ -178,9 +148,9 @@
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+   "version": "3.6.4"
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+ "nbformat_minor": 1
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