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Relecture #17

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Mar 1, 2015
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Relecture #17

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4cbe5dc
remove day 1 - clear output
Mar 1, 2015
9cf2b6d
relecture day3
Mar 1, 2015
ae96539
relecture day3
Mar 1, 2015
38f2869
add d3 day4pm
Mar 1, 2015
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edit day4-am
Mar 1, 2015
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relecture day3
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martindaniel4 committed Mar 1, 2015
commit 9cf2b6d62d2d57db32a4204b7769bdd65d8f42c6
246 changes: 44 additions & 202 deletions day2/01 - Introduction à Numpy.ipynb → day1/01 - Introduction à Numpy.ipynb
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@@ -1,7 +1,7 @@
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Expand All @@ -20,7 +20,13 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Numpy, pour numerical Python est un package de base contenant des fonctions et des objets essentiels au traitement de donn\u00e9es en Python"
"Numpy, pour numerical Python est un package de base contenant des fonctions et des objets essentiels au traitement de donn\u00e9es en Python. \n",
"\n",
"Dans cette partie, vous apprendrez :\n",
"\n",
"- Ce qu'est l'objet ndarray\n",
"- Comment s\u00e9lectionner des \u00e9l\u00e9ments\n",
"- Comment appliquer des calculs vectoris\u00e9s "
]
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{
Expand All @@ -32,8 +38,7 @@
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"outputs": []
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{
"cell_type": "heading",
Expand All @@ -60,17 +65,7 @@
],
"language": "python",
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"prompt_number": 3,
"text": [
"str"
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"outputs": []
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"cell_type": "code",
Expand All @@ -80,17 +75,7 @@
],
"language": "python",
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{
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"text": [
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Expand Down Expand Up @@ -119,18 +104,7 @@
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"language": "python",
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"text": [
"ndarray\n",
"[[ 0.37997191 0.67241144 0.41122624]\n",
" [-0.33289894 1.33102515 1.27955226]]\n"
]
}
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"prompt_number": 4
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Expand All @@ -149,17 +123,7 @@
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"language": "python",
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"text": [
"[[ -6.24676857 11.48559756 -7.25026452]\n",
" [ 2.01593372 -12.04848967 -9.56735936]]\n"
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Expand All @@ -186,8 +150,7 @@
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Expand All @@ -214,17 +177,7 @@
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"prompt_number": 43
"outputs": []
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Expand All @@ -245,17 +198,7 @@
],
"language": "python",
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"text": [
"dtype('int64')"
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"prompt_number": 50
"outputs": []
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"cell_type": "markdown",
Expand All @@ -274,16 +217,7 @@
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"language": "python",
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"text": [
"[ 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14.]\n"
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"prompt_number": 53
"outputs": []
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{
"cell_type": "markdown",
Expand All @@ -302,17 +236,7 @@
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"prompt_number": 9,
"text": [
"array([ 1.2, 2.3, 3.5])"
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"outputs": []
},
{
"cell_type": "heading",
Expand Down Expand Up @@ -344,17 +268,7 @@
],
"language": "python",
"metadata": {},
"outputs": [
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"metadata": {},
"output_type": "pyout",
"prompt_number": 67,
"text": [
"array([5, 6, 7, 8])"
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"prompt_number": 67
"outputs": []
},
{
"cell_type": "markdown",
Expand All @@ -371,24 +285,13 @@
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"language": "python",
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"text": [
"[[1 2 3]\n",
" [4 5 6]\n",
" [7 8 9]]\n"
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],
"prompt_number": 16
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"<img src='files/matrice.png'>"
"<img src='files/images/matrice.png'>"
]
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{
Expand All @@ -414,18 +317,7 @@
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"language": "python",
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"metadata": {},
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"prompt_number": 77,
"text": [
"array([[4, 5, 6],\n",
" [7, 8, 9]])"
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"outputs": []
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{
"cell_type": "heading",
Expand Down Expand Up @@ -485,28 +377,28 @@
"\n",
"arr > 0 # renvoie un array de type bool\u00e9en comparant chacun des \u00e9l\u00e9ments \u00e0 la condition \n",
"\n",
"arr[arr > 0] # renvoie tous les \u00e9l\u00e9ments de arr v\u00e9rifiant la condition. On appelle cela le boolean indexing. \n",
"\n",
"# Renvoyer tous les \u00e9l\u00e9ments de arr n\u00e9gatifs \n",
"\n",
"# Renvoyer les \u00e9l\u00e9ments diff\u00e9rents de 2\n",
"\n",
"# Renvoyer les \u00e9l\u00e9ments \u00e9gaux \u00e0 2 ou 3\n"
"arr[arr > 0] # renvoie tous les \u00e9l\u00e9ments de arr v\u00e9rifiant la condition. On appelle cela le boolean indexing. "
],
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"text": [
"array([ 0.5, 1. , 1.5, 2. , 2.5, 3. , 3.5, 4. , 4.5, 5. , 5.5,\n",
" 6. , 6.5, 7. , 7.5, 8. , 8.5, 9. , 9.5])"
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{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"A vous :"
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},
{
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"metadata": {},
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"- Renvoyer tous les \u00e9l\u00e9ments de arr n\u00e9gatifs \n",
"- Renvoyer les \u00e9l\u00e9ments diff\u00e9rents de 2\n",
"- Renvoyer les \u00e9l\u00e9ments \u00e9gaux \u00e0 2 ou 3"
]
},
{
"cell_type": "markdown",
Expand All @@ -527,18 +419,7 @@
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
" 0. 0. 0. 0. 0. 0. 0.5 1. 1.5 2. 2.5 3. 3.5 4. 4.5\n",
" 5. 5.5 6. 6.5 7. 7.5 8. 8.5 9. 9.5]\n"
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}
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"outputs": []
},
{
"cell_type": "heading",
Expand Down Expand Up @@ -567,18 +448,7 @@
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": [
"array([ 1. , 1.41421356, 1.73205081, 2. , 2.23606798,\n",
" 2.44948974, 2.64575131, 2.82842712, 3. ])"
]
}
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"prompt_number": 20
"outputs": []
},
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"cell_type": "markdown",
Expand All @@ -602,17 +472,7 @@
],
"language": "python",
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"text": [
"[ 1.2321323 1.33342549 0.6861044 1.41133865 0.72494997 1.16231986\n",
" 1.04716381 0.24121107 1.77302538 1.87480252]\n"
]
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"outputs": []
},
{
"cell_type": "heading",
Expand Down Expand Up @@ -650,24 +510,6 @@
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[-0.10568007 -1.37891944 1.49519087 0.25618599 -1.28639015 0.92191553\n",
" 0.90842336 0.28779423 1.57475937 0.98982116]\n"
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}
],
Expand Down
0 day2/images/matrice.png → day1/images/matrice.png
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