Initial commit

files/SN_y_tot_V2.0.txt

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files/sunspots.dat

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images/.directory

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scipy-intro.ipynb

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+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# SciPy tutorial\n",
+    "\n",
+    "PySS15     22-24th October 2015 - San Sebastian\n",
+    "\n",
+    "### Iñigo Aldazabal (inigo_aldazabal@ehu.eus)\n",
+    "\n",
+    "[https://github.com/iamc/PySS15-Scipy-tutorial](https://github.com/iamc/PySS15-Scipy-tutorial)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Python\n",
+    "\n",
+    "## Por qué mola tanto python?\n",
+    "\n",
+    "Similar a lo del año pasado\n",
+    "\n",
+    "Una parte general (general purpose), y una parte de SciComp (speed, wrapper sobre netlib)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "![imagen](images/scipy.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## SciPy subpackages\n",
+    "\n",
+    "* cluster: Clustering algorithms\n",
+    "* constants: Physical and mathematical constants\n",
+    "* fftpack: Fast Fourier Transform routines\n",
+    "* integrate: Integration and ordinary differential equation solvers\n",
+    "* interpolate: Interpolation and smoothing splines\n",
+    "* io: Input and Output\n",
+    "* linalg: Linear algebra\n",
+    "* maxentropy: Maximum entropy methods\n",
+    "* ndimage: N-dimensional image processing\n",
+    "* odr: Orthogonal distance regression\n",
+    "* optimize: Optimization and root-finding \n",
+    "* signal: Signal processing\n",
+    "* sparse: Sparse matrices and associated routines\n",
+    "* spatial: Spatial data structures and algorithms\n",
+    "* special: Special functions\n",
+    "* stats: Statistical distributions and functions\n",
+    "* weave: C/C++ integration"
+   ]
+  },
+  {
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