What does Row64 mean to Python Users?
Row64 utilizes a built-on editor that access python libraries such as Pandas and works in real-time as you code.
The UI is interactive with a built in script compiler which melds Pandas, Python, and spreadsheet capabilities into one.
Quick Tips to Get Started:
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Open Row64 and navigate to the Dataframe tab.
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Select “New Dataframe” and click “Edit” to begin scripting and using the built-in scripter.
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To use Row64’s built in formulas and data generation, select “Presets” to browse a variety of formats.
TIP: These recipes use Python to load data. If you want to load large datasets over 1 million records, go to the top bar and use the Import tab.
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Selecting “Formula,” “Python,” or “Both” in the Language section allows alternative views of how your scripting generates python to compile.
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Click “Run Script” when done editing to see results in realtime.
What are some Key Features?
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In particular, Row64 uses the Pandas library to work seamlessly with dataframes
– https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python -
Below is an example case study that analyses Jupyter Notebooks when used with the Python Pandas library compared to Row64.
