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Showing content from https://www.codecademy.com/projects/language/python below:

Projects in Python | Codecademy

  • Practice project

    A Sorted Tale

    Python • Computer science • Interview prep

    Help the owner of a whimsical bookshop in his quest to sort books in a variety of different manners.

    More guidance, 63 min

  • Practice project

    A/B Test for MuscleHub

    Python • Data science

    Help the MuscleHub gym determine the best fitness test format by conducting A/B testing.

    Less guidance, 60 min

  • Practice project

    A/B Testing at Nosh Mish Mosh

    Python • Data science

    Nosh Mish Mosh is a food startup with a cool new idea. Help them make data driven decisions by analyzing their user base.

    More guidance, 51 min

  • Practice project

    A/B Testing at Nosh Mish Mosh

    Python • Data visualization • Data science

    Nosh Mish Mosh is a food startup with a cool new idea. Help them make data driven decisions by analyzing their user base.

    More guidance, 45 min

  • Practice project

    A/B Testing for ShoeFly.com

    Python • Data analytics • Data science

    Analyst the A/B test data from ShoeFly.com using aggregate measures.

    More guidance, 36 min

  • Practice project

    Adopt a Pet

    Python • Computer science • Web development

    Use Python’s Flask framework to create a pet adoption website.

    More guidance, 45 min

  • Practice project

    Airline Analysis

    Python • Data analytics • Data visualization • Data science

    Use data visualizations to understand trends and relationships in commercial flight data.

    More guidance, 40 min

  • Practice project

    Aisha's Greetings

    Python • Computer science • Data science

    Use your knowledge of context managers in Python to help Aisha’s Greetings - a card printing company that prints greeting cards.

    More guidance, 90 min

  • Practice project

    Algerian Forest Fires

    Python • Data science • Math

    In this project, you will explore data on Algerian forests and run multiple linear regression models using variables including temperature, humidity, and fire risk.

    More guidance, 90 min


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