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Update Python version in Jupyter notebooks to 3.13.9 across multiple files

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This commit is contained in:
Arthur Danjou
2025-12-13 23:38:27 +01:00
parent d5a6bfd339
commit 3cb05d3210
18 changed files with 18 additions and 18 deletions
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2
L3/Calculs Numériques/Interpolation.ipynb
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@@ -654,7 +654,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
},
"toc": {
"base_numbering": 1,

2
L3/Calculs Numériques/Methode_de_Newton.ipynb
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@@ -995,7 +995,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M1/Numerical Methods/TP2_DANJOU_Arthur.ipynb
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@@ -509,7 +509,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M1/Numerical Methods/TP_DANJOU_Arthur.ipynb
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@@ -412,7 +412,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M1/Numerical Optimisation/ComputerSession1.ipynb
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@@ -951,7 +951,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M1/Numerical Optimisation/ComputerSession3.ipynb
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@@ -503,7 +503,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M1/Statistical Learning/TP5_Naive_Bayes.ipynb
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@@ -2206,7 +2206,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M1/Statistical Learning/TP6_keras_intro.ipynb
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@@ -2286,7 +2286,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M1/Statistical Learning/neural_network.ipynb
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@@ -545,7 +545,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Deep Learning/TP3 - Compléments/TP3 - Starter.ipynb
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@@ -722,7 +722,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Deep Learning/TP4 - Récurrents/TP4 - Bonus.ipynb
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@@ -440,7 +440,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Deep Learning/TP4 - Récurrents/TP4 - Starter.ipynb
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@@ -773,7 +773,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Machine Learning/TP_1/2025_TP_1_M2_ISF.ipynb
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@@ -89088,7 +89088,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Machine Learning/TP_2/2025_TP_2_M2_ISF.ipynb
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@@ -7016,7 +7016,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Machine Learning/TP_3/2025_TP_3_M2_ISF.ipynb
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@@ -4372,7 +4372,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Machine Learning/TP_4/2025_M2_ISF_TP_4.ipynb
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@@ -53269,7 +53269,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Machine Learning/TP_5/2025_M2_ISF_TP_5.ipynb
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@@ -1654,7 +1654,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,

2
M2/Reinforcement Learning/Lab 1 - Multi‑Armed Bandits with epsilon‑Greedy and Bernoulli Rewards.ipynb
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@@ -1102,7 +1102,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.3"
"version": "3.13.9"
}
},
"nbformat": 4,