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Book Overview & Buying
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Table Of Contents
Applied Computational Thinking with Python - Second Edition
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In this chapter, we will look at how Python can help us understand and analyze data using algorithms and libraries created specifically for data analysis and data science. First, we will 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 so that you can learn from existing...