Python Data Structures Coursera

Python Data Structures Coursera

I'm happy to help you with that! Here's a detailed review of the Python Data Structures course on Coursera:

Course Overview

The Python Data Structures course, offered by University of Michigan on Coursera, is designed for programmers who want to learn how to work effectively with complex data structures in Python. The course focuses on developing skills in using various data structures, such as stacks, queues, lists, dictionaries, sets, and graphs, to solve real-world problems.

Course Structure

The course consists of 4 weeks, each covering a specific set of topics. Here's a brief overview of what you can expect:

Week 1: Introduction to Python Programming

Week 2: Lists and Stacks

Week 3: Queues, Dictionaries, and Sets

Week 4: Graphs and Advanced Data Structures

Course Materials

The course includes a range of materials to help you learn, including:

Course Evaluation

The course uses a combination of written exams (30%), programming assignments (40%), and participation in online discussions (30%) to evaluate student performance.

Target Audience

This course is designed for anyone who wants to improve their Python skills and learn about data structures. This includes:

Overall, the Python Data Structures course on Coursera is an excellent resource for anyone interested in learning about data structures and improving their Python skills. With a comprehensive curriculum, engaging video lectures, and hands-on practice exercises, this course has something for everyone.

Would you like me to provide more information on specific topics or data structures?

Python data structures w3schools

I'm happy to help! Here's the information on Python data structures from W3Schools:

Python Lists

A list is a mutable sequence of values, which means you can add or remove items after it's created.

my_list = [1, 2, 3]
print(my_list)  # Output: [1, 2, 3]
Add an item
my_list.append(4)
print(my_list)  # Output: [1, 2, 3, 4]
Remove the first occurrence of "3"
my_list.remove(3)
print(my_list)  # Output: [1, 2, 4]

You can also use list methods like sort(), reverse(), and index().

Python Tuples

A tuple is an immutable sequence of values, which means you can't add or remove items after it's created.

my_tuple = (1, 2, 3)
print(my_tuple)  # Output: (1, 2, 3)
Try to append an item
my_tuple.append(4)  # Raises a TypeError!
print(my_tuple)  # Still the same output: (1, 2, 3)

Python Dictionaries

A dictionary is an unordered collection of key-value pairs.

my_dict = {"name": "John", "age": 30}
print(my_dict)  # Output: {'name': 'John', 'age': 30}
Add a new item
my_dict["city"] = "New York"
print(my_dict)  # Output: {'name': 'John', 'age': 30, 'city': 'New York'}
Remove an item
del my_dict["age"]
print(my_dict)  # Output: {'name': 'John', 'city': 'New York'}

Python Sets

A set is an unordered collection of unique values.

my_set = {1, 2, 3}
print(my_set)  # Output: {1, 2, 3}
Add a new item
my_set.add(4)
print(my_set)  # Output: {1, 2, 3, 4}
Remove an item
my_set.discard(2)
print(my_set)  # Output: {1, 3, 4}

These are the basics of Python data structures. You can use them to store and manipulate data in your programs!

Please let me know if you need anything else!