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Using Python in Experimental and Data Analysis Problems
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:
- Defining experimental data
- Using data libraries in Python
- Understanding data analysis with Python
- Using additional libraries for plotting and analysis
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 ...
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