{ "cells": [ { "cell_type": "markdown", "id": "79908dc6", "metadata": {}, "source": [ "# How Jupyter works" ] }, { "cell_type": "code", "execution_count": 1, "id": "408602ca", "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'x' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "Cell \u001b[0;32mIn [1], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mx\u001b[49m)\n", "\u001b[0;31mNameError\u001b[0m: name 'x' is not defined" ] } ], "source": [ "print(x)" ] }, { "cell_type": "code", "execution_count": 2, "id": "598f5bed", "metadata": {}, "outputs": [], "source": [ "x=3" ] }, { "cell_type": "markdown", "id": "77d75f52", "metadata": {}, "source": [ "## Basic commands\n", "\n", "Jupyter Notebook is widely used for data analysis. The notebooks documents are documents produced by the Jupyter Notebook App, which can contain both code (e.g. Python) and rich text elements (paragraphs, equations, links, etc.).\n", "\n", "The Jupyter Notebook App is a client-server application that allows editing and running notebook documents by a browser.\n", "\n", "### Shortcuts in both modes:\n", "- Shift + Enter run the current cell, select below\n", "- Ctrl + Enter run selected cells\n", "- Alt + Enter run the current cell, insert below\n", "- Ctrl + S save and checkpoint" ] }, { "cell_type": "markdown", "id": "aea23ddf", "metadata": {}, "source": [ "### While in command mode (press Esc to activate):\n", "\n", "Enter take you into edit mode\n", "- H show all shortcuts\n", "- Up select cell above\n", "- Down select cell below\n", "- Shift + Up extend selected cells above\n", "- Shift + Down extend selected cells below\n", "- A insert cell above\n", "- B insert cell below\n", "- X cut selected cells\n", "- 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", "- 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", "\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", "- Shift + Space scroll notebook up\n", "- Space scroll notebook down" ] }, { "cell_type": "markdown", "id": "6066c3fc", "metadata": {}, "source": [ "### While in edit mode (press Enter to activate)\n", "- Esc take you into command mode\n", "- Tab code completion or indent\n", "- Shift + Tab tooltip\n", "- Ctrl + ] indent\n", "- Ctrl + [ dedent\n", "- Ctrl + A select all\n", "- Ctrl + Z undo\n", "- Ctrl + Shift + Z or Ctrl + Y redo\n", "- Ctrl + Home go to cell start\n", "- Ctrl + End go to cell end\n", "- Ctrl + Left go one word left\n", "- Ctrl + Right go one word right\n", "- Ctrl + Shift + P open the command palette\n", "- Down move cursor down\n", "- Up move cursor up" ] }, { "cell_type": "markdown", "id": "dad4c1fb", "metadata": {}, "source": [ "# Basics of Python and Programming\n", "## Using conditionals" ] }, { "cell_type": "code", "execution_count": 3, "id": "9272c3fd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "El valor es positivo\n" ] } ], "source": [ "x = 1 #int(input('Introduce un numero: '))\n", "if x<0:\n", " print('El valor es negativo')\n", "else:\n", " print(\"El valor es positivo\")" ] }, { "cell_type": "code", "execution_count": 5, "id": "90916e74", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Introduce un numero: -5\n", "El valor es negativo\n" ] } ], "source": [ "x = int(input('Introduce un numero: '))\n", "if x<0:\n", " print('El valor es negativo')\n", "else:\n", " print(\"El valor es positivo\")" ] }, { "cell_type": "markdown", "id": "e246b55e", "metadata": {}, "source": [ "## Using for loops" ] }, { "cell_type": "code", "execution_count": 6, "id": "7d68db25", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "juan\n", "israel\n", "jonathan\n", "homero\n" ] } ], "source": [ "nombres = ['juan', 'israel', 'jonathan', 'homero']\n", "for n in nombres:\n", " print(n)" ] }, { "cell_type": "code", "execution_count": 7, "id": "b5a09022", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1\n", "2\n", "3\n", "4\n", "5\n", "6\n", "7\n", "8\n", "9\n", "10\n" ] } ], "source": [ "for n in range(1,11):\n", " print(n)" ] }, { "cell_type": "markdown", "id": "e163a7e0", "metadata": {}, "source": [ "## Arrays and indexing" ] }, { "cell_type": "code", "execution_count": 4, "id": "d98ef5bd", "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "a = np.array([[1,2],[3,4],[5,6]])" ] }, { "cell_type": "markdown", "id": "096d51b8", "metadata": {}, "source": [ "## Functions " ] }, { "cell_type": "code", "execution_count": 7, "id": "fd363297", "metadata": {}, "outputs": [], "source": [ "# how to crate functions\n", "def myFuncion(x):\n", " y = np.sin(x)/np.cos(x)\n", " return y" ] }, { "cell_type": "markdown", "id": "d8fada9a", "metadata": {}, "source": [ "## Making basic plots" ] }, { "cell_type": "code", "execution_count": 10, "id": "b956d7c9", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "time = np.linspace(0,10)\n", "y = myFuncion(time)\n", "y2 = np.tan(time)\n", "plt.plot(time, y/2,'-g*')\n", "plt.plot(time, y2, ':m+')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "280bf852", "metadata": {}, "source": [ "### Subplot" ] }, { "cell_type": "code", "execution_count": 11, "id": "048067ac", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.subplot(3,1,1)\n", "plt.plot(time, np.sin(time),'r', label='$y_1$')\n", "plt.legend()\n", "plt.subplot(3,1,2)\n", "plt.plot(time, np.cos(time),'g',label='y2')\n", "plt.legend()\n", "plt.subplot(3,1,3)\n", "plt.plot(time, np.tan(time),'k', label='y3')\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "8236e97a", "metadata": {}, "source": [ "# Some additions task and work" ] }, { "cell_type": "markdown", "id": "937e9070", "metadata": {}, "source": [ "- Make function that computes the factorial of a given numer using for loops\n", "- Make a function that computes 4 functions (sin, cos, tan, logistic) and plots \n", "- Make a function that recive your age and classifies you as baby, teenager, ...." ] }, { "cell_type": "code", "execution_count": null, "id": "9204368f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }