From a0b184181488179e5823a3c84148f3163fa0c446 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Gerardo=20Marx=20Cha=CC=81vez-Campos?= Date: Fri, 30 Jun 2023 10:10:31 -0600 Subject: [PATCH] session 0 updated --- 0-intro-jupyter/main.ipynb | 56 ++++++++++++++++++++++++++++++-------- 1 file changed, 45 insertions(+), 11 deletions(-) diff --git a/0-intro-jupyter/main.ipynb b/0-intro-jupyter/main.ipynb index 5764cdc..73c3436 100644 --- a/0-intro-jupyter/main.ipynb +++ b/0-intro-jupyter/main.ipynb @@ -65,8 +65,9 @@ "source": [ "### While in command mode (press Esc to activate):\n", "\n", - "Enter take you into edit mode\n", - "- H show all shortcuts\n", + "**Enter take you into edit mode** and also **considers that some commands en Google collab have been modified and require first the `Ctr+M` command** and then the command that you need like change the cell type to Markdown:\n", + "\n", + "- H show all shortcuts `Ctr+M`\n", "- Up select cell above\n", "- Down select cell below\n", "- Shift + Up extend selected cells above\n", @@ -77,12 +78,12 @@ "- C copy selected cells\n", "- V paste cells below\n", "- Shift + V paste cells above\n", - "- D, D (press the key twice) delete selected cells\n", + "- D, D (press the key twice) delete selected cells `Ctr+M`\n", "- Z undo cell deletion\n", - "- S Save and Checkpoint\n", - "- Y change the cell type to Code\n", - "- M change the cell type to Markdown\n", - "- P open the command palette\n", + "- S Save and Checkpoint `Ctr+M`\n", + "- Y change the cell type to Code `Ctr+M` \n", + "- M change the cell type to Markdown `Ctr+M`\n", + "- P open the command palette `Ctr+M`\n", "\n", "This dialog helps you run any command by name. It’s really useful if you don’t know some shortcut or when you don’t have a shortcut for the wanted command.\n", "\n", @@ -236,7 +237,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "d98ef5bd", "metadata": {}, "outputs": [], @@ -255,7 +256,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "fd363297", "metadata": {}, "outputs": [], @@ -276,7 +277,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 6, "id": "b956d7c9", "metadata": {}, "outputs": [ @@ -311,7 +312,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 7, "id": "048067ac", "metadata": {}, "outputs": [ @@ -339,6 +340,39 @@ "plt.show()" ] }, + { + "cell_type": "code", + "execution_count": 8, + "id": "753ebe80", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplot(6,3,1)\n", + "plt.plot(time, np.sin(time),'r', label='y_1')\n", + "plt.subplot(6,3,2)\n", + "plt.plot(time, np.cos(time),'g',label='y2')\n", + "plt.subplot(6,3,3)\n", + "plt.plot(time, np.tan(time),'k', label='y3')\n", + "plt.subplot(6,3,4)\n", + "plt.plot(time, np.sin(time),'r', label='$y_1$')\n", + "plt.subplot(6,3,5)\n", + "plt.plot(time, np.cos(time),'g',label='y2')\n", + "plt.subplot(6,3,6)\n", + "plt.plot(time, np.tan(time),'k', label='$y_1$')\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "id": "8236e97a",