Python for Data Analysis

By McKinney Wes. 2012

427 citations recorded by the source corpus.

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The Primacy Bias in Deep Reinforcement Learning (2022, background): “, 2011), pandas (McKinney, 2012), and SciPy (Jones et al.”
ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database (2018, methodology): “…- RDKit [15], Pybel to wrap molecules; [16] use Chemopy [17] ChemDes [18] and BioTriangle [19] to calculate molecular descriptors and fingerprints; use Scikit - learn to build models of different algorithms; [20] use Numpy [21], Pandas to wrap calculating results into numeric values or files [22].”
A Bibliometric Analysis of COVID-19 across Science and Social Science Research Landscape (2020, methodology): “, obtaining, merging and cleaning the rel vant data, was facilitated by the Python programming language using the Panda and Numpy libraries [37].”
Machine learning modeling of superconducting critical temperature (2017, methodology): “The data cleaning and processing is carried out using the Python Pandas package for data analysis.(68)”
Impacts of the COVID-19 Pandemic on Life of Higher Education Students: A Global Perspective (2020, methodology): “The data preparation, aggregation and cleaning process were performed in Python programming language using libraries Pandas and Numpy [73].”