Update 00.00-Preface

Author: jakevdp

notebooks_v2/00.00-Preface.ipynb

@@ -93,19 +93,6 @@
  "This short report provides a tour of the essential features of the Python language, aimed at data scientists who already are familiar with one or more other programming languages."
  ]
  },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Python 2 vs Python 3\n",
- "\n",
- "This book uses the syntax of Python 3, which contains language enhancements that are not compatible with the 2.x series of Python.\n",
- "Though Python 3.0 was first released in 2008, adoption has been relatively slow, particularly in the scientific and web development communities.\n",
- "This is primarily because it took some time for many of the essential third-party packages and toolkits to be made compatible with the new language internals.\n",
- "Since early 2014, however, stable releases of the most important tools in the data science ecosystem have been fully compatible with both Python 2 and 3, and so this book will use the newer Python 3 syntax.\n",
- "However, the vast majority of code snippets in this book will also work without modification in Python 2: in cases where a Py2-incompatible syntax is used, I will make every effort to note it explicitly."
- ]
- },
  {
  "cell_type": "markdown",
  "metadata": {},

notebooks_v2/00.00-Preface.md

@@ -75,15 +75,6 @@ If you are looking for a guide to the Python language itself, I would suggest th
 This short report provides a tour of the essential features of the Python language, aimed at data scientists who already are familiar with one or more other programming languages.
 
 
-### Python 2 vs Python 3
-
-This book uses the syntax of Python 3, which contains language enhancements that are not compatible with the 2.x series of Python.
-Though Python 3.0 was first released in 2008, adoption has been relatively slow, particularly in the scientific and web development communities.
-This is primarily because it took some time for many of the essential third-party packages and toolkits to be made compatible with the new language internals.
-Since early 2014, however, stable releases of the most important tools in the data science ecosystem have been fully compatible with both Python 2 and 3, and so this book will use the newer Python 3 syntax.
-However, the vast majority of code snippets in this book will also work without modification in Python 2: in cases where a Py2-incompatible syntax is used, I will make every effort to note it explicitly.
-
-
 ## Outline of the Book
 
 Each chapter of this book focuses on a particular package or tool that contributes a fundamental piece of the Python Data Sciece story.