DataFrames, Series, filtering, and sorting. How you actually work with tabular data in Python.

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Handle missing data, convert types, clean strings, and prepare messy real-world data for analysis.

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Aggregate data with groupby, merge datasets, and reshape tables with pivot operations.

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String methods, regular expressions, file I/O, and JSON handling.

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Fetch data from APIs, parse JSON responses, and scrape web content with BeautifulSoup.

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Write lambda functions, use apply and map, and master vectorized operations for performance.

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Arrays, dtypes, reshape, broadcasting, and vectorization. The math layer under pandas, plus how to drop down to it when you need speed.

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Build real games with Python. Learn the game loop, movement physics, sprites, collision detection, and complete a Brick Breakaway clone from scratch.

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String cleaning, number formatting, date parsing, combining DataFrames, and pivot tables. Exactly what the WCTC Python Data Manipulation course covers.

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Classes and objects, type hints and dataclasses, testing your code, and logging and debugging. The Python beyond scripts that real projects need.

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