01_string_input_print.ipynb

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    "# 1. Text, questions, and art\n",
    "\n",
    "## Strings, input(), and print()\n",
    "\n",
    "[Learn Python with Jupyter](https://learnpythonwithjupyter.com/) by [Serena Bonaretti](https://sbonaretti.github.io/)   \n",
    "Narrative license: [CC BY-NC-SA](https://creativecommons.org/licenses/by-nc-sa/2.0/). Code license: [GNU-GPL v3](https://www.gnu.org/licenses/gpl-3.0.en.html)  \n"
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   "cell_type": "markdown",
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   "source": [
    "---\n",
    "## Strings"
   ]
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   "source": [
    "- Look at the following strings and run the cells:  "
   ]
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   "cell_type": "code",
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   "outputs": [],
   "source": [
    "\"this is a string\""
   ]
  },
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   "cell_type": "code",
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   "metadata": {},
   "outputs": [],
   "source": [
    "'everything you write in between quotes is a string'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Asking questions: input()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Look at the following examples and run the cells:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "input(\"What's your name?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "input(\"Where are you from?\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## ASCII art: print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " \n",
    "- Look at the following example and run the cells:"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print (\" /\\_/\\   \")\n",
    "print (\" >^.^<   \")\n",
    "print (\"  / \\    \")\n",
    "print (\" (___)___\")"
   ]
  }
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