Lists & strings in Python | Khan Academy - Program design: flight delays | Intro to CS - Python | Khan Academy

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. Note that this example uses a fake dataset. 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