Merge pull request #33 from hsm207/patch-2

Fix typo

Author: marcoct

tutorials/A Bottom-Up Introduction to Gen.ipynb

@@ -65,7 +65,7 @@
     "    n = uniform_discrete(1, 10)\n",
     "```\n",
     "\n",
-    "Then, with probability `p`, it multiplies by `n` by two:\n",
+    "Then, with probability `p`, it multiplies `n` by two:\n",
     "```julia\n",
     "    if bernoulli(p)\n",
     "        n *= 2\n",

tutorials/Modeling with Black-Box Julia Code.ipynb

@@ -246,7 +246,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Next, we load a file that defines a `Path` data type (a sequence of `Points`), and a `plan_path` method, which  uses a path planning algorithm based on rapidly exploring random tree (RRT, [1]) to find a sequence of `Point`s beginning with `start` and ending in `dest` such that the line segment between each consecutive pair of points does nt intersect any obstacles in the scene. The planning algorithm may fail to find a valid path, in which case it will return a value of type `Nothing`.\n",
+    "Next, we load a file that defines a `Path` data type (a sequence of `Points`), and a `plan_path` method, which  uses a path planning algorithm based on rapidly exploring random tree (RRT, [1]) to find a sequence of `Point`s beginning with `start` and ending in `dest` such that the line segment between each consecutive pair of points does not intersect any obstacles in the scene. The planning algorithm may fail to find a valid path, in which case it will return a value of type `Nothing`.\n",
     "\n",
     "`path::Union{Path,Nothing} = plan_path(start::Point, dest::Point, scene::Scene, planner_params::PlannerParams)`\n",
     "\n",
@@ -469,7 +469,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this visualization, the start location is represented by a blue dot, and the destination is represented by a red dot. The measured coordinates at each time point are represented by black dots. The path, if path planning was succesfull, is shown as a gray line fro the start point to the destination point. Notice that the speed of the agent is different in each case."
+    "In this visualization, the start location is represented by a blue dot, and the destination is represented by a red dot. The measured coordinates at each time point are represented by black dots. The path, if path planning was succesfull, is shown as a gray line from the start point to the destination point. Notice that the speed of the agent is different in each case."
    ]
   },
   {