{
"cells": [
{
"cell_type": "markdown",
"id": "7d0f8c47",
"metadata": {},
"source": [
"# Lab 1: Hello World\n",
"\n",
"Work through the following exercises and reflection questions. For credit on the lab, you only have to submit a very simple \"Hello world!\" program at the end of the lab, but the rest will help you in future labs and quizzes.\n",
"\n",
"For each of the reflection questions, discuss with your group and write answers in your notes.\n",
"\n",
"__Exercise 1:__ Run this line of code (as a script or in the interactive shell):"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e7313332",
"metadata": {},
"outputs": [],
"source": [
"print('Hello')"
]
},
{
"cell_type": "markdown",
"id": "1461f835",
"metadata": {},
"source": [
"* Is there a difference between `'Hello'` and `\"Hello\"`?"
]
},
{
"cell_type": "markdown",
"id": "0e8d4b81",
"metadata": {},
"source": [
"__Exercise 2:__ What happens when you run each of the following lines?"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c7179412",
"metadata": {},
"outputs": [],
"source": [
"print(\"Isn't it a nice day out?\")\n",
"print('Isn't it a nice day out?')"
]
},
{
"cell_type": "markdown",
"id": "57894742",
"metadata": {},
"source": [
"* Why did the second one give you an error?\n",
"* Why do you think Python allows you to use both \" and '?\n",
"* How can you get a \" symbol to print?"
]
},
{
"cell_type": "markdown",
"id": "52723b67",
"metadata": {},
"source": [
"__Exercise 3:__ The following print statement contains text with a special symbol, `\\n`, that does something strange. "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "195d6f84",
"metadata": {},
"outputs": [],
"source": [
"print(\"here is some text\\nhere is more text\")"
]
},
{
"cell_type": "markdown",
"id": "a131ce8c",
"metadata": {},
"source": [
"* `\\n` is called the _newline_ character. Why do you think it is called that?"
]
},
{
"cell_type": "markdown",
"id": "668cf038",
"metadata": {},
"source": [
"__Exercise 4:__ There are other special characters too. Experiment with these: `\\t` and `\\\\`\n",
"* What do each of these do?\n",
"* Why do you think it is necessary for Python to support special text characters like these?"
]
},
{
"attachments": {
"helloworldoutput.png": {
"image/png": 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"
}
},
"cell_type": "markdown",
"id": "266c1a0f",
"metadata": {},
"source": [
"__Challenge Exercise:__ For the points on this lab, write a Python program which displays the message \"Hello world!\". When you run it in Thonny, it should look like this:\n",
"\n",
"
![](\"attachment:helloworldoutput.png\")
\n",
"