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Learn Python programming fundamentals through this comprehensive lecture series specifically designed for humanists and digital humanities scholars with no prior programming experience. Master essential Python concepts including data storage, strings, integers, floats, tuples, lists, sets, dictionaries, conditional statements, loops, functions, and classes. Explore file handling techniques for opening and manipulating text files, then advance to working with modules, libraries, and regular expressions for text processing. Develop practical skills in Excel data manipulation using XLRD and XLSXwriter libraries, including searching Excel data and creating new spreadsheets. Gain expertise in web scraping using the Requests module and Beautiful Soup for finding and extracting HTML content. Master various data storage formats including text files, Excel spreadsheets, XML files, and Pandas dataframes, while learning to analyze textual data effectively for digital humanities research projects.
