CSAI2026 labs: Lab-2..Lab-6 (Practical + Solution, data), Module-2..Module-6 notebooks and datasets
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{
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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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"# List Comprehensions\n",
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"\n",
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"In addition to sequence operations and list methods, Python includes a more advanced operation called a list comprehension.\n",
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"\n",
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"List comprehensions allow us to build out lists using a different notation. You can think of it as essentially a one line <code>for</code> loop built inside of brackets. For a simple example:\n",
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"## Example 1"
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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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"tags": []
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},
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"outputs": [],
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"source": [
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"# Grab every letter in string\n",
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"lst = [x for x in 'word']"
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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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"# Check\n",
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"lst"
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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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"This is the basic idea of a list comprehension. If you're familiar with mathematical notation this format should feel familiar for example: x^2 : x in { 0,1,2...10 } \n",
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"\n",
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"Let's see a few more examples of list comprehensions in Python:\n",
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"## Example 2"
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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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"tags": []
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},
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"outputs": [],
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"source": [
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"# Square numbers in range and turn into list\n",
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"lst = [x**2 for x in range(0,11)]"
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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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"lst"
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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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"## Example 3\n",
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"Let's see how to add in <code>if</code> statements:"
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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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"tags": []
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},
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"outputs": [],
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"source": [
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"# Check for even numbers in a range\n",
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"lst = [x for x in range(11) if x % 2 == 0]"
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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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"lst"
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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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"## Example 4\n",
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"Can also do more complicated arithmetic:"
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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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"# Convert Celsius to Fahrenheit\n",
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"celsius = [0,10,20.1,34.5]\n",
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"\n",
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"fahrenheit = [((9/5)*temp + 32) for temp in celsius ]\n",
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"\n",
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"fahrenheit"
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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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"## Example 5\n",
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"We can also perform nested list comprehensions, for example:"
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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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"lst = [ x**2 for x in [x**2 for x in range(11)]]\n",
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"lst"
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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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"Later on in the course we will learn about generator comprehensions. After this lecture you should feel comfortable reading and writing basic list comprehensions."
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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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},
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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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}
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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": "3.8.8"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
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"state": {},
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"version_major": 2,
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"version_minor": 0
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}
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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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