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*`and` and `or` logical comparison support. E.g`df.loc({``rows: df['Salary_in_1000'].gte(100)).and(df['Age'].gt(60))``})`
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*`read_csv` now uses [Papaparse](https://www.papaparse.com) and supports config values for headers, separator, etc.
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*`to_csv` , `to_json` and `to_excel` functions now support saving to local disk in Node and downloadable in the browser. Also, supports config parameters for output.
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*`read_json` now supports config values for headers, authentication, separator, etc.
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*`read_excel` now uses [XLSX](https://www.npmjs.com/package/xlsx) parser, hence supports all XLSX config options.
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* DataFrame `query` function now accepts boolean masks with single or multiple conditions. E.g\
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