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mooc-rr
Commit c46f3d6f authored by 4ea53c21f37d3b692bdeef03c3c1ec7e's avatar 4ea53c21f37d3b692bdeef03c3c1ec7e
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telechargement local

parent 12ca5d7c
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module2/exo2/exercice_fr.ipynb
View file @ c46f3d6f
...@@ -2,10 +2,10 @@ ...@@ -2,10 +2,10 @@
"cells": [ "cells": [
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...@@ -14,10 +14,10 @@ ...@@ -14,10 +14,10 @@
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...@@ -36,10 +36,10 @@ ...@@ -36,10 +36,10 @@
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...@@ -48,7 +48,7 @@ ...@@ -48,7 +48,7 @@
"14.113000000000001" "14.113000000000001"
] ]
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...@@ -59,10 +59,10 @@ ...@@ -59,10 +59,10 @@
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...@@ -71,7 +71,7 @@ ...@@ -71,7 +71,7 @@
"2.8" "2.8"
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...@@ -82,10 +82,10 @@ ...@@ -82,10 +82,10 @@
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...@@ -94,7 +94,7 @@ ...@@ -94,7 +94,7 @@
"23.4" "23.4"
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...@@ -105,10 +105,10 @@ ...@@ -105,10 +105,10 @@
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{ {
...@@ -117,7 +117,7 @@ ...@@ -117,7 +117,7 @@
"14.5" "14.5"
] ]
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"output_type": "execute_result" "output_type": "execute_result"
} }
...@@ -125,10 +125,40 @@ ...@@ -125,10 +125,40 @@
"source": [ "source": [
"median(x)" "median(x)"
] ]
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......
module2/exo3/.ipynb 0 → 100644
View file @ c46f3d6f
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"hideCode": false,
"hidePrompt": false
},
"outputs": [],
"source": [
"from numpy import *"
]
},
{
"cell_type": "code",
"execution_count": 4,
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"hidePrompt": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9, 12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)\n"
]
}
],
"source": [
"x= 14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0\n",
"\n",
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"hideCode": false,
"hidePrompt": false
},
"outputs": [
{
"data": {
"text/plain": [
"14.113000000000001"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mean(x)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"hideCode": false,
"hidePrompt": false
},
"outputs": [
{
"data": {
"text/plain": [
"2.8"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"min(x)"
]
},
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"outputs": [
{
"data": {
"text/plain": [
"23.4"
]
},
"execution_count": 7,
"metadata": {},
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"source": [
"max(x)"
]
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"execution_count": 8,
"metadata": {
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},
"outputs": [
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"data": {
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"14.5"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"median(x)"
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},
{
"cell_type": "code",
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"metadata": {
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"outputs": [
{
"data": {
"text/plain": [
"4.312369534258399"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"std(x)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo1/.ipynb 0 → 100644
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module3/exo1/analyse-syndrome-grippal.ipynb
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module3/exo1/syndrome-grippal.csv 0 → 100644
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