From d6532c26babcc271ebf20c327c8f35c8e647bb85 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Konrad=20V=C3=B6lkel?= <konrad.voelkel@hhu.de>
Date: Tue, 13 May 2025 18:12:45 +0200
Subject: [PATCH] a list of all numpy commands in here
---
numpy.ipynb | 92 +++++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 92 insertions(+)
diff --git a/numpy.ipynb b/numpy.ipynb
index 2fbe7ad..96aceba 100644
--- a/numpy.ipynb
+++ b/numpy.ipynb
@@ -495,6 +495,98 @@
"Es lohnt sich, einen kurzen Blick auf alle bereits definierten `ufunc`s zu werfen:\n",
"[Available ufuncs](https://numpy.org/doc/stable/reference/ufuncs.html#available-ufuncs)"
]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Was muss man kennen?\n",
+ "\n",
+ "Numpy und andere Bibliotheken des Scientific Computing in Python sind groß, man kann kaum alle Funktionen kennen.\n",
+ "In diesem Skript liefert die händisch bereinigte Ausgabe von `cat *.ipynb | egrep -o \"np\\.([^(]+)\" | sort | uniq` diese vollständige Liste. Diese muss nicht auswendig gelernt werden, gibt aber eine klare Abschätzung nach oben. Mehr muss man definitiv auf keinen Fall können! Außerdem sollte man bedenken, dass diese Liste für das gesamte Skript gilt, und wir vieles davon noch nicht kennen gelernt haben."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "np.abs\n",
+ "np.all\n",
+ "np.allclose\n",
+ "np.arange\n",
+ "np.argmin\n",
+ "np.array\n",
+ "np.atleast_1d\n",
+ "np.byte\n",
+ "np.column_stack\n",
+ "np.concatenate\n",
+ "np.copy\n",
+ "np.corrcoef\n",
+ "np.cos\n",
+ "np.cov\n",
+ "np.diff\n",
+ "np.dot\n",
+ "np.dstack\n",
+ "np.equal\n",
+ "np.exp\n",
+ "np.eye\n",
+ "np.float64\n",
+ "np.frombuffer\n",
+ "np.full\n",
+ "np.genfromtxt\n",
+ "np.heaviside\n",
+ "np.hstack\n",
+ "np.identity\n",
+ "np.isclose\n",
+ "np.isnan\n",
+ "np.linalg.eig\n",
+ "np.linalg.inv\n",
+ "np.linalg.norm\n",
+ "np.linalg.svd\n",
+ "np.linspace\n",
+ "np.log\n",
+ "np.matmul\n",
+ "np.max\n",
+ "np.maximum\n",
+ "np.may_share_memory\n",
+ "np.mean\n",
+ "np.median\n",
+ "np.meshgrid\n",
+ "np.mgrid\n",
+ "np.min\n",
+ "np.minimum\n",
+ "np.nansum\n",
+ "np.ones\n",
+ "np.ones_like\n",
+ "np.outer\n",
+ "np.pi\n",
+ "np.power\n",
+ "np.ptp\n",
+ "np.random.choice\n",
+ "np.random.multivariate_normal\n",
+ "np.random.permutation\n",
+ "np.random.rand\n",
+ "np.random.randint\n",
+ "np.random.randn\n",
+ "np.random.random\n",
+ "np.random.seed\n",
+ "np.random.uniform\n",
+ "np.round\n",
+ "np.sin\n",
+ "np.size\n",
+ "np.sort\n",
+ "np.sqrt\n",
+ "np.square\n",
+ "np.stack\n",
+ "np.std\n",
+ "np.sum\n",
+ "np.uint8\n",
+ "np.unique\n",
+ "np.var\n",
+ "np.vstack\n",
+ "np.zeros\n",
+ "np.zeros_like"
+ ]
}
],
"metadata": {
--
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