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This is a detailed step-by-step guide that develops a Python code to read PDF files and determine the most common words. This is very useful if you want to get an idea about the content of PDF files without reading them yourself. Applications include systematic literature reviews or selecting newspaper articles.
All material is on GitHub (https://github.com/GerhardKling/DataW....
I show you how to create and activate a virtual environment (which is optional – but useful). Then we develop the code step-by-step. This will enable you to learn how to modify the code to suit your specific requirements. Please leave a comment if you have any questions.
Chapters
0:00 Common Words in PDF Files
0:48 Virtual Environment
1:56 Main.py & Module
2:44 The word_rank Function
8:07 Counter Class
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YUNIKARN focuses on publishing educational content in applied statistics, mathematics, and data science. In these fields, programming skills have become essential. Hence, we cover various programming languages including Python, Stata, and C++ to tackle problems and for fun.
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