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windoverwater · Feb 10, 2018 · 3d3d0a5 · 3d3d0a5
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diff --git a/Python/Module3_IntroducingNumpy/Broadcasting.ipynb b/Python/Module3_IntroducingNumpy/Broadcasting.ipynb
@@ -105,7 +105,9 @@
    "source": [
     "<div class=\"alert alert-info\"> \n",
     "\n",
-    "**Definition: Array Broadcasting** is a mechanism used by NumPy to permit vectorized mathematical operations between arrays of unequal, but compatible shapes. Specifically, an array will be treated as if its contents have been replicated along the appropriate dimensions, such that the shape of this new, higher-dimensional array suits the mathematical operation being performed.     \n",
+    "**Definition: Array Broadcasting** \n",
+    "\n",
+    "Array Broadcasting is a mechanism used by NumPy to permit vectorized mathematical operations between arrays of unequal, but compatible shapes. Specifically, an array will be treated as if its contents have been replicated along the appropriate dimensions, such that the shape of this new, higher-dimensional array suits the mathematical operation being performed.     \n",
     "\n",
     "</div>"
    ]
@@ -892,7 +894,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.3"
   }
  },
  "nbformat": 4,

diff --git a/Python/Module3_IntroducingNumpy/VectorizedOperations.ipynb b/Python/Module3_IntroducingNumpy/VectorizedOperations.ipynb
@@ -1604,7 +1604,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.6.3"
   }
  },
  "nbformat": 4,

diff --git a/Python/conf.py b/Python/conf.py
@@ -50,7 +50,7 @@
 master_doc = 'index'
 
 # General information about the project.
-project = 'Fundamentals of Python'
+project = 'Python Like You Mean It'
 copyright = '2018, Ryan Soklaski'
 author = 'Ryan Soklaski'
 
@@ -59,7 +59,7 @@
 # built documents.
 #
 # The short X.Y version.
-version = '0.1'
+version = '0.9'
 # The full version, including alpha/beta/rc tags.
 release = 'alpha'
 

diff --git a/Python/intro.rst b/Python/intro.rst
@@ -1,10 +1,10 @@
-===================================================
-Essentials of Python, for Data Science Applications
-===================================================
+=======================
+Python Like You Mean It
+=======================
 
 What this is
 ------------
-This is a resource for learning the basics of Python, and moreover, becoming a competent Python user. The features of the Python language that are emphasized here were chosen to help those who are particularly interested in STEM applications (data analysis, machine learning, numerical work, etc.).
+Python Like You Mean It is a free resource for learning the basics of Python, and moreover, becoming a competent Python user. The features of the Python language that are emphasized here were chosen to help those who are particularly interested in STEM applications (data analysis, machine learning, numerical work, etc.).
 
 I want this to be a lean, one-stop resource for learning the essentials of Python from scratch. The reader will begin by learning about what Python is and what installing Python even means, and will hopefully walk away with a solid understanding of a substantial core of the Python language and its premiere numerical library, NumPy. I am also placing an emphasis on best practices of the Python language throughout this site and am teaching to the latest version of Python (Python 3.6, as of writing this).
 
@@ -23,7 +23,7 @@ Books and blogs can be great. I personally think that programming books can over
 
 Python shouldn't be *too* easy
 ------------------------------
-Python is a relatively easy language to pick up, and it doesn't require much rigor to make code work. Unfortunately, this means that there are many Python users out there who know enough to just get by, but lack a sound understanding of the language. You don't want to get caught in the "know enough Python to be dangerous" zone; therein lies complacency, stagnation, and the genesis of a lot of bad code. You've got to Python like your mean it!
+Python is a relatively easy language to pick up, and it doesn't require much rigor to make code work. Unfortunately, this means that there are many Python users out there who know enough to just get by, but lack a sound understanding of the language. You don't want to get caught in the "know enough Python to be dangerous" zone; therein lies complacency, stagnation, and the genesis of a lot of bad code. You've got to Python like you mean it!
 
 
 About Me