Merge pull request #16 from ehardi19/master

Finished Python Crash Course & NumPy

Author: ehardi19

2018/Python-Crash-Course/Python Crash Course.ipynb

@@ -21,9 +21,7 @@
   },
   {
    "cell_type": "code",
-
    "execution_count": 2,
-
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,9 +30,7 @@
   },
   {
    "cell_type": "code",
-
    "execution_count": 3,
-
    "metadata": {},
    "outputs": [],
    "source": [
@@ -810,9 +806,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-
-   "version": "3.6.3"
-
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

2018/Python-for-Data-Analysis/NumPy/NumPy Arrays.ipynb

@@ -133,9 +133,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-
    "metadata": {},
-
    "outputs": [
     {
      "name": "stderr",
@@ -340,9 +338,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-
-   "version": "3.6.3"
-
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

2018/Python-for-Data-Analysis/NumPy/Numpy Indexing and Selection.ipynb

@@ -42,9 +42,7 @@
   },
   {
    "cell_type": "code",
-
    "execution_count": 2,
-
    "metadata": {},
    "outputs": [
     {
@@ -145,9 +143,7 @@
   },
   {
    "cell_type": "code",
-
    "execution_count": 4,
-
    "metadata": {},
    "outputs": [
     {
@@ -391,12 +387,10 @@
   },
   {
    "cell_type": "code",
-
    "execution_count": 7,
    "metadata": {
     "collapsed": true
    },
-
    "outputs": [],
    "source": [
     "df.to_excel('output.xlsx', index = False, header = None, sheet_name = 'Output')"
@@ -503,25 +497,21 @@
   },
   {
    "cell_type": "code",
-
    "execution_count": 9,
    "metadata": {
     "collapsed": true
    },
-
    "outputs": [],
    "source": [
     "df = pd.read_html('http://www.fdic.gov/bank/individual/failed/banklist.html')"
    ]
   },
   {
    "cell_type": "code",
-
    "execution_count": 10,
    "metadata": {
     "scrolled": false
    },
-
    "outputs": [
     {
      "data": {
@@ -1436,7 +1426,6 @@
   },
   {
    "cell_type": "code",
-
    "execution_count": 13,
    "metadata": {},
    "outputs": [
@@ -1524,30 +1513,25 @@
    "metadata": {
     "collapsed": true
    },
-
    "outputs": [],
    "source": [
     "df.to_sql('data', engine, index = False)"
    ]
   },
   {
    "cell_type": "code",
-
    "execution_count": 15,
    "metadata": {
     "collapsed": true
    },
-
    "outputs": [],
    "source": [
     "sql_df = pd.read_sql('data',con=engine)"
    ]
   },
   {
    "cell_type": "code",
-
    "execution_count": 16,
-
    "metadata": {},
    "outputs": [
     {
@@ -1651,7 +1635,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,