fix typos

timgrossmann · timgrossmann · commit 68c253612220 · 2018-12-03T14:31:37.000+01:00
diff --git a/lesson01/Activity01/activity01.ipynb b/lesson01/Activity01/activity01.ipynb
@@ -204,7 +204,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,
diff --git a/lesson01/Activity01/activity01_solution.ipynb b/lesson01/Activity01/activity01_solution.ipynb
@@ -97,7 +97,7 @@
     }
    ],
    "source": [
-    "# calculate the mean of the thrid row\n",
+    "# calculate the mean of the third row\n",
     "np.mean(dataset[2])"
    ]
   },
diff --git a/lesson01/Activity02/activity02-solution.ipynb b/lesson01/Activity02/activity02-solution.ipynb
@@ -856,7 +856,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,
diff --git a/lesson01/Activity02/activity02.ipynb b/lesson01/Activity02/activity02.ipynb
@@ -314,7 +314,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.7.0"
   }
  },
  "nbformat": 4,
diff --git a/lesson01/Activity06/activity06-solution.ipynb b/lesson01/Activity06/activity06-solution.ipynb
@@ -38,9 +38,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# importing the necessary dependencies\n",
-    "import pandas as pd\n",
-    "\n",
     "# loading the Dataset\n",
     "dataset = pd.read_csv('./data/world_population.csv', index_col=0)"
    ]
diff --git a/lesson01/Activity06/activity06.ipynb b/lesson01/Activity06/activity06.ipynb
diff --git a/lesson01/Exercise01/exercise01_solution.ipynb b/lesson01/Exercise01/exercise01_solution.ipynb
@@ -14,7 +14,7 @@
     "In this exercise, we will be loading the normal_distribution.csv dataset and calculate the mean of each row and each column with it.   \n",
     "Our dataset will have several rows each containing floating point numbers around 100 with a standard deviation of 5.\n",
     "\n",
-    "Just to refresh your knowledge, a Daussian normal distribution resembles this plot:   \n",
+    "Just to refresh your knowledge, a Gaussian normal distribution resembles this plot:   \n",
     "\n",
     "[Normal Distribution ](https://en.wikipedia.org/wiki/Normal_distribution)   \n",
     "![](https://upload.wikimedia.org/wikipedia/commons/9/9e/Normal_Distribution_NIST.gif)   \n",

Original file line number	Diff line number	Diff line change
`@@ -204,7 +204,7 @@`
`204`	`204`	`"name": "python",`
`205`	`205`	`"nbconvert_exporter": "python",`
`206`	`206`	`"pygments_lexer": "ipython3",`
`207`		`- "version": "3.6.5"`
	`207`	`+ "version": "3.7.0"`
`208`	`208`	`}`
`209`	`209`	`},`
`210`	`210`	`"nbformat": 4,`
Original file line number	Diff line number	Diff line change
`@@ -97,7 +97,7 @@`
`97`	`97`	`}`
`98`	`98`	`],`
`99`	`99`	`"source": [`
`100`		`- "# calculate the mean of the thrid row\n",`
	`100`	`+ "# calculate the mean of the third row\n",`
`101`	`101`	`"np.mean(dataset[2])"`
`102`	`102`	`]`
`103`	`103`	`},`
Original file line number	Diff line number	Diff line change
`@@ -856,7 +856,7 @@`
`856`	`856`	`"name": "python",`
`857`	`857`	`"nbconvert_exporter": "python",`
`858`	`858`	`"pygments_lexer": "ipython3",`
`859`		`- "version": "3.6.5"`
	`859`	`+ "version": "3.7.0"`
`860`	`860`	`}`
`861`	`861`	`},`
`862`	`862`	`"nbformat": 4,`
Original file line number	Diff line number	Diff line change
`@@ -314,7 +314,7 @@`
`314`	`314`	`"name": "python",`
`315`	`315`	`"nbconvert_exporter": "python",`
`316`	`316`	`"pygments_lexer": "ipython3",`
`317`		`- "version": "3.6.5"`
	`317`	`+ "version": "3.7.0"`
`318`	`318`	`}`
`319`	`319`	`},`
`320`	`320`	`"nbformat": 4,`