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Applied Computational Thinking with Python
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In this chapter, we will take a look at how Python can help us understand and analyze data using algorithms and libraries created specifically for data analysis and data science. We will first go through experimental data and then move on to algorithms that use two main libraries: NumPy and pandas.
In this chapter, we will cover the following topics:
By the end of this chapter, you will be able to define types of experiments, data gathering, and how computational thinking helps when designing models and solutions. You will also learn how to use data libraries, particularly, NumPy, pandas, and Matplotlib, to help in analyzing and displaying data. Finally, you'll be able to design algorithms that help with data analysis in order to learn...