Author: Khan Academy via YouTube
Go to Source

Code along with a software engineer in this worked example using lists, strings, and CSV data. Apply the accumulator pattern to compare average departure delays across different airlines. Use separation of concerns to decouple the data normalization from the data analysis.

View the program used in this video at: https://www.khanacademy.org/python-program/flight-delays/4887611669856256

Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now with our Intro to Computer Science – Python course!

Course link: https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:automating-tasks-with-lists
Course playlist: https://www.youtube.com/playlist?list=PLSQl0a2vh4HDkbhG0sDW0b-VZXykEIAe5

Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help!

Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc

Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc

TIMESTAMPS:
00:00 : problem statement
00:17 : CSV data format
00:54 : average departure delay
02:03 : debugging the average
03:06 : unique airline names
04:06 : data preprocessing
05:26 : analysis results

Go to Source