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Data Mining for Junior Data Scientists: Basic Python Programming
Abstract
The availability of off-the-shelf tools for data mining has made it easier to process data. However, in many cases, such software packages are not flexible enough to allow for algorithmic improvements. Therefore, data scientists need to write computer programs to customize the processing methods in tandem with the software packages. This chapter introduces Python, a programming language that provides libraries that support data science work. The content includes Python programming syntax, such as variables, structured programming, decision-making programming, recursive programming, data structure handling, and file handling. Additionally, the chapter introduces Google Colab as a tool for programming experiments. It provides a crucial foundation for data science students who are going to process data using data mining techniques in the next chapter using Python programming. Although data scientists don't need a deep understanding of computer programming, learning computer languages is essential, and this chapter caters to beginners.
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