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4 cards from this section. Quick, good the night before a test.
What programming language is known for its readability and is widely used in data science?
Think of the most popular language in data science.
Which library is used for data manipulation in Python?
It starts with a 'P' and is crucial for data handling.
Which of the following is a popular library for data manipulation in Python?
Think about which library deals specifically with data frames.
True or False: R is primarily used for machine learning.
Consider what R is known for in data science.
Design a simple data analysis pipeline using Python, outlining the libraries and tools you would use at each stage.
Think about the different stages of your analysis.
Explain how collaborative platforms like Google Colab can benefit a data science team during a project. Provide three key points.
Consider how teamwork and accessibility come into play.
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