python3

Author: PhilBesse

Cal4-PythonProg.ipynb

@@ -373,9 +373,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "a = 17\n",
@@ -723,9 +721,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Eleve:\n",
@@ -825,9 +821,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "for k in range(10):\n",
@@ -857,9 +851,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class EleveSpecial(Eleve):\n",
@@ -881,9 +873,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "eleve2 = EleveSpecial(\"Sam\",\"Stress\",\"latin\")"
@@ -1135,9 +1125,9 @@
  "metadata": {
   "hide_input": false,
   "kernelspec": {
-   "display_name": "Python [TPInsa]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "Python [TPInsa]"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1149,7 +1139,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.3"
+   "version": "3.6.4"
   },
   "toc": {
    "nav_menu": {

Cal5-PythonSklearnApprent.ipynb

@@ -113,9 +113,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# variables prédictives et cible\n",
@@ -126,9 +124,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "from sklearn.model_selection import train_test_split\n",
@@ -186,9 +182,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# imputation des valeurs manquantes\n",
@@ -272,9 +266,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# variables explicatives\n",
@@ -966,9 +958,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# par ACP ou SVD\n",
@@ -1160,9 +1150,9 @@
  "metadata": {
   "hide_input": false,
   "kernelspec": {
-   "display_name": "Python [TPInsa]",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "Python [TPInsa]"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1174,7 +1164,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.3"
+   "version": "3.6.4"
   },
   "toc": {
    "nav_menu": {},