139 lines
3.1 KiB
Text
139 lines
3.1 KiB
Text
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"# Chapter 1: Elements of a Program"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Coding Exercises"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Read [Chapter 1](https://nbviewer.jupyter.org/github/webartifex/intro-to-python/blob/master/01_elements_00_lecture.ipynb) of the book. Then, work through the exercises below."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Printing Output"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q1.1**: Read about the [print()](https://docs.python.org/3/library/functions.html#print) built-in. How can you use it to print both `greeting` and `audience` *without* concatenating the two strings with the `+` operator?\n",
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"\n",
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"Hint: The `*objects` in the documentation implies that we can insert several comma-seperated variables."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"greeting = \"Hello\"\n",
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"audience = \"World\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(...)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q1.2**: What does the `sep=\" \"` mean in the documentation? Use it to print out the three names in `first`, `second`, and `third` on one line seperated by commas with one [print()](https://docs.python.org/3/library/functions.html#print) statement."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"first = \"Anthony\"\n",
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"second = \"Berta\"\n",
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"third = \"Christian\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(...)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"**Q1.3**: Lastly, what does the `end=\"\\n\"` mean in the documentation? Use it in the `for`-loop to print the numbers 1 through 10 in just one line."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"for number in [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]:\n",
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" print(...)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": false,
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"sideBar": true,
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"skip_h1_title": true,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": false,
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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