Keywords: Python automation, data processing algorithms, automation scripts, Python development, automated workflows
Data processing algorithms and functions for cleaning, validation, transformation, analysis, and manipulation of structured and unstructured data with support for various data formats and sources. This category provides comprehensive Python automation solutions for developers and automation engineers.
The scripts in this category may require the following Python dependencies:
pandas - Install via pip install pandasnumpy - Install via pip install numpyjson - Install via pip install jsoncsv - Install via pip install csvThis category contains 25 Python automation scripts:
Common List ItemFrist N Of ListLast N Of ListList From FileList From ObjectList From TableList From Table ColumnList From Table RowList From TextList ItemList PositionList TotalNext List ItemObject EntityObject Has KeyPreviouse List ItemRandom List ItemRead FileSet Table CellSort ListSubtract ListsTable SearchTable Total ColumnTable Total RowsText From ListFor detailed implementation documentation, parameter specifications, and usage examples, refer to the info/DataFunctions directory in the repository.
# Import the required script
from code_library.DataFunctions import example_script
# Use the script
result = example_script(parameters)
try:
result = example_script(parameters)
except Exception as e:
print(f"Error: {e}")
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