Data Structures Guide
A guide to data structures such as lists, dictionaries, 2D arrays, and iteration
Objectives:
Students will be able to...
- Understand the concept of data structures, including lists, dictionaries, and 2D arrays
- Learn how to iterate through data structures using loops
- Able to visualize data structures and iteration processes
- Able to apply their knowledge to build simulations/interactions using lists and iteration
- Learn how to store list and dictionary content in databases
Lesson 1: Lists and Iteration
Lists (Ethan)
- Lists are a type of data structure that can store multiple items in a single variable
- Lists are defined using square brackets [ ]
- Each item in a list is separated by a comma
- Lists are indexed, starting at 0
fruits = ["apple", "banana", "orange", "grape"]
print(fruits)
print(fruits[0])
print(fruits[2])
print(fruits[0:2])
fruits[2] = "pear"
print(fruits)
fruits.append("kiwi") # Adds 'kiwi' to the end of the list
print(fruits)
- Use the insert() method to add an item to a specific index in a list.
fruits.insert(1, "peach") # Inserts "peach" at index 1
print(fruits)
Removing
- Use the remove() method to remove the first occurrence of an item from a list.
fruits.remove('pear') # Removes the first occurrence of 'pear'
print(fruits)
- Use the pop() method to remove the item at a specific index from a list.
fruits.pop(2) # Removes the item at index 2
print(fruits)
- Use the clear() method to remove all items from a list.
fruits.clear() # Removes all items from the list
print(fruits)
Function Explanation
InsertToList
- This function is designed to insert a new item into a list at a specific index.
- It first retrieves the new item to be added and the index at which to add it from the HTML document.
- It checks if the retrieved values are both valid integers and if the index is within the range of the list.
- If the values are valid, the function uses the splice() method to insert the new item into the list at the specified index.
- In JavaScript, the splice() method modifies an array by removing, replacing, or adding elements.
- The splice() method takes three arguments:the index at which to start changing the list, the number of elements to remove, and the new item to add. - The item is inserted without removing any elements, so we pass 0 as the second argument.
- Finally, the function calls the visualizeList() function to display the updated list on the web page.
// Get the value of the new item and the index where it should be inserted
function insertToList() {
let newItem = parseInt(document.getElementById("newItem").value);
let index = parseInt(document.getElementById("index").value);
if (!isNaN(newItem) && !isNaN(index) && index >= 0 && index <= myList.length) {
// splice() method to insert the new item into the list
myList.splice(index - 1, 0, newItem);
// Call the visualizeList() function to update the display of the list
visualizeList();
}
}SortList
- In JavaScript, sort() is a built-in method used to sort the elements of an array in place. The default sort order is ascending, but you can also specify a descending sort order.
- In this case, the function sorts myList in ascending order based on their numerical value.
// Sort myList array in ascending order
function sortList() {
// The function a - b is used, which subtracts the second element b from the first element a.
// If the result is negative, a is sorted before b. If the result is positive, b is sorted before a. If the result is zero, the order of the elements is unchanged.
myList.sort((a, b) => a - b);
visualizeList();
}Applications of Lists
Data processing: Lists are commonly used to store and process large amounts of data. In data analysis and machine learning, lists are often used to store datasets.
Gaming: Lists are used extensively in game development to store game objects, player statistics, and game maps.
Finance: Lists are used in finance to store and process financial data, such as stock prices and market trends. The data from these lists can also be used to calculate financial metrics and to create financial models.
animals = ["dog", "cat", "bird", "fish", "rabbit"]
# print the list
print("Original list of animals:", animals)
# access an element by index and print it
print("The second animal is:", animals[1])
# add an element to the end of the list
animals.append("hamster")
print("List of animals after adding a new one:", animals)
# insert an element at a specific position in the list
animals.insert(2, "snake")
print("List of animals after inserting a new one:", animals)
# remove an element from the list
animals.remove("bird")
print("List of animals after removing an animal:", animals)
# slice the list and print a subset of elements
print("The first three animals are:", animals[:3])
# loop through the list and print each animal
print("List of animals:")
for animal in animals:
print(animal)
Iteration (Alex)
What is iteration?
- In programming, iteration refers to the process of repeating a set of instructions until a specific condition is met. This can be achieved using loop structures like for loops and while loops.
For Loops
- A for loop is used to iterate over a sequence (e.g. a list, tuple, string, etc.) and execute a set of statements for each item in the sequence. Here's the basic syntax of a for loop in Python:
sequence = [1,2,3,4,5,6,7]
for variable in sequence:
print(variable)
my_string = "Hello, World!"
for character in my_string:
print(character)
While Loops A while loop is used to repeat a set of statements as long as a condition is true. Here's the basic syntax of a while loop in Python:
num = 0
while num < 5:
print(num)
num += 1
Applications of Iteration
Iteration is a fundamental concept in computer programming and is used in a variety of real-life applications. Here are some examples:Data Processing
- Data processing often involves iterating over large datasets to perform specific operations on each element. For example, in a data analysis task, you might iterate over a list of numbers to compute the average, or iterate over a list of strings to find the longest string.
User Interfaces
- User interfaces often involve iteration to display and handle data from various sources. For example, in a web application, you might iterate over a list of users to display their information in a table. Similarly, in a desktop application, you might iterate over a list of files to display them in a file explorer.
Machine Learning
- Machine learning algorithms often involve iterative processes to train models and improve their accuracy. For example, in a gradient descent algorithm, you might iterate over a set of training data to update the model's parameters and minimize the loss function.
Popcorn hack (0.3)
- Make a list related to your CPT project
- Make a while loop that will print each term in the list
- Make a for loop that will print each term in the list
Simulation mechanics
- In Python, pop() is a method that is used to remove and return an element from a list. The syntax for using pop() is as follows:
nba_players = ['LeBron James', 'Stephen Curry', 'Kevin Durant', 'Kawhi Leonard', 'Giannis Antetokounmpo', 'James Harden', 'Anthony Davis', 'Luka Doncic', 'Joel Embiid', 'Nikola Jokic', 'Damian Lillard', 'Kyrie Irving', 'Russell Westbrook', 'Paul George', 'Devin Booker', 'Trae Young', 'Chris Paul', 'Bradley Beal', 'Jimmy Butler', 'Donovan Mitchell']
nba_teams = ["Los Angeles Lakers", "Golden State Warriors", "Brooklyn Nets", "Milwaukee Bucks", "Philadelphia 76ers", "Los Angeles Clippers", "Phoenix Suns", "Utah Jazz", "Denver Nuggets", "Dallas Mavericks"]
# While loop to print each team in the list
print("Using a while loop:")
i = 0
while i < len(nba_teams):
print(nba_teams[i])
i += 1
# For loop to print each team in the list
print("\nUsing a for loop:")
for team in nba_teams:
print(team)
my_list = [1, 2, 3, 4, 5]
print(my_list)
my_list.pop()
print(my_list)
my_list.pop(1)
print(my_list)
In Python, append() is a built-in method that is used to add an element to the end of a list. The syntax for using append() is as follows:
my_list = []
my_list.append(1)
my_list.append(2)
my_list.append(3)
print(my_list)
Dictionary Lesson / 2D Arrays
Lesson 2: Dictionary's and 2 Dimensional Arrays
Advay Shindikar and Amay Advani
Objective:
- Understand the concept of dictionaries and how they can be applied
- Learn how to add, modify, and delete entries in a dictionary using the assignment operator and the del keyword
- Understand the concept of 2D arrays and how they can be used to store data in rows and columns
- Learn how to create a 2D array in Python using a nested list
- Understand how to access values in a 2D array using row and column indices
- Learn how to use indexing and slicing to access a subset of a 2D array
student = {'name': 'Advay', 'age': 16, 'Sophomore'}students = ['advay', 'amay', 'rohin', 'alex', 'ethan']Check In:
- Of the above code segments, which is a list and which is a dictionary? first is list seocnd is dictionary
- What is a dictionary and how is it used? In Python, a dictionary is a built-in data structure that stores a collection of key-value pairs, where each key maps to a corresponding value. Dictionaries are sometimes referred to as "associative arrays" or "hash maps" in other programming languages. Keys in a dictionary must be unique and can only be of certain immutable data types (such as strings, numbers, or tuples), while values can be of any data type.
- What is a 2D Array? In Python, a 2D array (also known as a two-dimensional array or matrix) is an array of arrays, where each element in the parent array contains a separate child array. The child arrays are arranged in rows and columns, creating a grid-like structure.
- How are 2D Arrays different from 1D Arrays or Lists and what can they be used for? 2D arrays are different from 1D arrays or lists in that they have an additional dimension, which allows them to store values in a grid-like format with rows and columns. In contrast, 1D arrays and lists only have a single dimension, and can only store values in a linear format.
Manipulating Dictionaries
grocery_dict = {}
# ask the user to enter grocery items and their prices
while True:
item = input("Enter an item for your grocery list (or 'done' to exit): ")
if item == "done":
break
else:
price = float(input("Enter the price of {}: ".format(item)))
grocery_dict[item] = price
# print the grocery list and total cost
total_cost = 0
while True:
print("Your grocery list:")
for item, price in grocery_dict.items():
print("- {}: ${}".format(item, price))
print("Total cost: ${}".format(total_cost))
# ask the user to choose an action
action = input("What would you like to do? (add/remove/done) ")
# add a new item to the grocery list
if action == "add":
item = input("Enter the name of the item you would like to add: ")
price = float(input("Enter the price of {}: ".format(item)))
grocery_dict[item] = price
total_cost += price
# remove an item from the j
item = input("Enter the name of the item you would like to remove: ")
if item in grocery_dict:
total_cost -= grocery_dict[item]
del grocery_dict[item]
else:
print("Item not found in grocery list!")
# exit the loop and print the final grocery list and total cost
elif action == "done":
break
print("Final grocery list:")
for item, price in grocery_dict.items():
print("- {}: ${}".format(item, price))
print("Total cost: ${}".format(total_cost))