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To calculate the sum of sales for each salesman in a month before their training date, we need to group by "salesman" and "transaction_month", then apply the aggregation function `sum` to the 'sales' column.
Working with DataFrames in Python: A Better Way to Iterate Over Rows Than Using iterrows
Loading DeepSeek-V3 Model from a Local Repository Using Hugging Face Transformers Library
Matching codes and merging dataframes with duplicates: A pandas solution using .map()
Parsing Strings with Pandas: A Modular Approach to Complex Patterns
Discretizing Continuous Variables with Pandas: A Comprehensive Guide to Accurate Discretization Results
Creating Categorical Variables in Regression Analysis using pandas and statsmodels: A Practical Guide to Handling Discrete Independent Variables with Multiple Categories
Automatically Parsing Lines of Dataframe Extracted from JSON with Python and Pandas.
Dealing with Missing Formulas in Excel Data with Python: A Step-by-Step Solution Using openpyxl
Efficient Data Import: Reading Parquet Files in Chunks and Inserting into DuckDB