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3 | 3 | {
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4 | 4 | "cell_type": "markdown",
|
5 | 5 | "metadata": {
|
6 |
| - "collapsed": true, |
7 |
| - "deletable": true, |
8 |
| - "editable": true |
| 6 | + "collapsed": true |
9 | 7 | },
|
10 | 8 | "source": [
|
11 | 9 | "# Bienvenido al curso de Python Científico\n",
|
|
22 | 20 | },
|
23 | 21 | {
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24 | 22 | "cell_type": "markdown",
|
25 |
| - "metadata": { |
26 |
| - "deletable": true, |
27 |
| - "editable": true |
28 |
| - }, |
| 23 | + "metadata": {}, |
29 | 24 | "source": [
|
30 | 25 | "## Empezemos!"
|
31 | 26 | ]
|
32 | 27 | },
|
33 | 28 | {
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34 | 29 | "cell_type": "markdown",
|
35 |
| - "metadata": { |
36 |
| - "deletable": true, |
37 |
| - "editable": true |
38 |
| - }, |
| 30 | + "metadata": {}, |
39 | 31 | "source": [
|
40 | 32 | "### 1. Descarga de Python"
|
41 | 33 | ]
|
42 | 34 | },
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43 | 35 | {
|
44 | 36 | "cell_type": "markdown",
|
45 |
| - "metadata": { |
46 |
| - "deletable": true, |
47 |
| - "editable": true |
48 |
| - }, |
| 37 | + "metadata": {}, |
49 | 38 | "source": [
|
50 | 39 | "Anaconda es una distribución de Python facil de instalar, que además es un administrador de paquetes necesarios en el ambito de la computación científica, posee una colección de más de 720 paquetes de código abierto que ofrecen soporte de la comunidad libre. No sólo ofrece el notebook sino tambien un IDE muy parecido a MATLAB llamado __spyder__.\n",
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51 | 40 | "\n",
|
|
60 | 49 | },
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61 | 50 | {
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62 | 51 | "cell_type": "markdown",
|
63 |
| - "metadata": { |
64 |
| - "deletable": true, |
65 |
| - "editable": true |
66 |
| - }, |
| 52 | + "metadata": {}, |
67 | 53 | "source": [
|
68 | 54 | ""
|
69 | 55 | ]
|
70 | 56 | },
|
71 | 57 | {
|
72 | 58 | "cell_type": "markdown",
|
73 |
| - "metadata": { |
74 |
| - "deletable": true, |
75 |
| - "editable": true |
76 |
| - }, |
| 59 | + "metadata": {}, |
77 | 60 | "source": [
|
78 | 61 | "### 2. Instalación de Python"
|
79 | 62 | ]
|
80 | 63 | },
|
81 | 64 | {
|
82 | 65 | "cell_type": "markdown",
|
83 |
| - "metadata": { |
84 |
| - "deletable": true, |
85 |
| - "editable": true |
86 |
| - }, |
| 66 | + "metadata": {}, |
87 | 67 | "source": [
|
88 | 68 | "En __Windows, macOS y Linux__, es mejor instalar Anaconda para el usuario local, que no requiere permisos de administrador y es el tipo de instalación más robusto. Para los usuarios de cualquiera de las tres plataformas que necesiten hacerlo, Anaconda también se puede instalar en todo el sistema, lo que requiere permisos de administrador. \n",
|
89 | 69 | "\n",
|
|
92 | 72 | },
|
93 | 73 | {
|
94 | 74 | "cell_type": "markdown",
|
95 |
| - "metadata": { |
96 |
| - "deletable": true, |
97 |
| - "editable": true |
98 |
| - }, |
| 75 | + "metadata": {}, |
99 | 76 | "source": [
|
100 | 77 | "#### 2.1 Instalación en Windows"
|
101 | 78 | ]
|
102 | 79 | },
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103 | 80 | {
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104 | 81 | "cell_type": "markdown",
|
105 |
| - "metadata": { |
106 |
| - "deletable": true, |
107 |
| - "editable": true |
108 |
| - }, |
| 82 | + "metadata": {}, |
109 | 83 | "source": [
|
110 | 84 | "- Descargar el instalador de Anaconda.\n",
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111 | 85 | "\n",
|
|
122 | 96 | },
|
123 | 97 | {
|
124 | 98 | "cell_type": "markdown",
|
125 |
| - "metadata": { |
126 |
| - "deletable": true, |
127 |
| - "editable": true |
128 |
| - }, |
| 99 | + "metadata": {}, |
129 | 100 | "source": [
|
130 | 101 | ""
|
131 | 102 | ]
|
132 | 103 | },
|
133 | 104 | {
|
134 | 105 | "cell_type": "markdown",
|
135 |
| - "metadata": { |
136 |
| - "deletable": true, |
137 |
| - "editable": true |
138 |
| - }, |
| 106 | + "metadata": {}, |
139 | 107 | "source": [
|
140 | 108 | "#### 2.2 Instalación en Linux\n",
|
141 | 109 | "\n",
|
|
160 | 128 | },
|
161 | 129 | {
|
162 | 130 | "cell_type": "markdown",
|
163 |
| - "metadata": { |
164 |
| - "deletable": true, |
165 |
| - "editable": true |
166 |
| - }, |
| 131 | + "metadata": {}, |
167 | 132 | "source": [
|
168 | 133 | "### 3. Instalación de Git (Opcional)\n",
|
169 | 134 | "\n",
|
|
182 | 147 | },
|
183 | 148 | {
|
184 | 149 | "cell_type": "markdown",
|
185 |
| - "metadata": { |
186 |
| - "deletable": true, |
187 |
| - "editable": true |
188 |
| - }, |
| 150 | + "metadata": {}, |
189 | 151 | "source": [
|
190 | 152 | "El material del curso está disponible en GitHub, \n",
|
191 | 153 | "\n",
|
|
196 | 158 | },
|
197 | 159 | {
|
198 | 160 | "cell_type": "markdown",
|
199 |
| - "metadata": { |
200 |
| - "deletable": true, |
201 |
| - "editable": true |
202 |
| - }, |
| 161 | + "metadata": {}, |
203 | 162 | "source": [
|
204 | 163 | "### 4. Abrir el material del curso\n",
|
205 | 164 | ".\n",
|
|
218 | 177 | },
|
219 | 178 | {
|
220 | 179 | "cell_type": "markdown",
|
221 |
| - "metadata": { |
222 |
| - "deletable": true, |
223 |
| - "editable": true |
224 |
| - }, |
| 180 | + "metadata": {}, |
225 | 181 | "source": [
|
226 | 182 | "### 5. ¿Qué es IPython?\n",
|
227 | 183 | "\n",
|
|
262 | 218 | },
|
263 | 219 | {
|
264 | 220 | "cell_type": "markdown",
|
265 |
| - "metadata": { |
266 |
| - "deletable": true, |
267 |
| - "editable": true |
268 |
| - }, |
| 221 | + "metadata": {}, |
269 | 222 | "source": [
|
270 | 223 | "Ahora veremos como podemos ejecutar scripts en nuestro notebook:\n",
|
271 | 224 | "\n",
|
|
275 | 228 | {
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276 | 229 | "cell_type": "code",
|
277 | 230 | "execution_count": 1,
|
278 |
| - "metadata": { |
279 |
| - "collapsed": false, |
280 |
| - "deletable": true, |
281 |
| - "editable": true |
282 |
| - }, |
| 231 | + "metadata": {}, |
283 | 232 | "outputs": [
|
284 | 233 | {
|
285 | 234 | "name": "stdout",
|
|
301 | 250 | },
|
302 | 251 | {
|
303 | 252 | "cell_type": "markdown",
|
304 |
| - "metadata": { |
305 |
| - "deletable": true, |
306 |
| - "editable": true |
307 |
| - }, |
| 253 | + "metadata": {}, |
308 | 254 | "source": [
|
309 | 255 | "Para ejecutar nuestro script vamos a usar un comado __mágico__ del notebook :"
|
310 | 256 | ]
|
311 | 257 | },
|
312 | 258 | {
|
313 | 259 | "cell_type": "code",
|
314 | 260 | "execution_count": 2,
|
315 |
| - "metadata": { |
316 |
| - "collapsed": false, |
317 |
| - "deletable": true, |
318 |
| - "editable": true |
319 |
| - }, |
| 261 | + "metadata": {}, |
320 | 262 | "outputs": [
|
321 | 263 | {
|
322 | 264 | "name": "stdout",
|
|
332 | 274 | },
|
333 | 275 | {
|
334 | 276 | "cell_type": "markdown",
|
335 |
| - "metadata": { |
336 |
| - "deletable": true, |
337 |
| - "editable": true |
338 |
| - }, |
| 277 | + "metadata": {}, |
339 | 278 | "source": [
|
340 | 279 | "Ahora estamos listo para nuestra siguiente [lección](https://github.com/Gerson231294/CursoPython/blob/master/Notebooks/1.%20Python%20-%20Sintaxis.ipynb)! \n"
|
341 | 280 | ]
|
342 | 281 | },
|
343 | 282 | {
|
344 | 283 | "cell_type": "code",
|
345 | 284 | "execution_count": 3,
|
346 |
| - "metadata": { |
347 |
| - "collapsed": false, |
348 |
| - "deletable": true, |
349 |
| - "editable": true |
350 |
| - }, |
| 285 | + "metadata": {}, |
351 | 286 | "outputs": [
|
352 | 287 | {
|
353 | 288 | "data": {
|
|
548 | 483 | "name": "python",
|
549 | 484 | "nbconvert_exporter": "python",
|
550 | 485 | "pygments_lexer": "ipython3",
|
551 |
| - "version": "3.6.0" |
| 486 | + "version": "3.5.3" |
552 | 487 | }
|
553 | 488 | },
|
554 | 489 | "nbformat": 4,
|
|
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