ISO-690 (author-date, English)

TUFANI, Rojer, SEN, Snigdha und CHAKRABORTY, Pavan, 2025. Harnessing The Potential of Pandas and Py Spark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures. In: . 16 August 2025.

Elsevier - Harvard (with titles)

Tufani, R., Sen, S., Chakraborty, P., 2025. Harnessing The Potential of Pandas and Py Spark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures, in: . https://doi.org/10.1109/AIMV66517.2025.11203526

American Psychological Association 7th edition

Tufani, R., Sen, S., & Chakraborty, P. (2025, August 16). Harnessing The Potential of Pandas and Py Spark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures. https://doi.org/10.1109/AIMV66517.2025.11203526

Springer - Basic (author-date)

Tufani R, Sen S, Chakraborty P (2025) Harnessing The Potential of Pandas and Py Spark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures

Juristische Zitierweise (Stüber) (Deutsch)

Tufani, Rojer/ Sen, Snigdha/ Chakraborty, Pavan, Harnessing The Potential of Pandas and Py Spark: An In-Depth Performance Evaluation for Machine Learning Classification on Single Node Architectures, 2025, .

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.