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  2. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series .

  3. Wes McKinney - Wikipedia

    en.wikipedia.org/wiki/Wes_McKinney

    McKinney made the pandas project public in 2009. [6] McKinney left AQR in 2010 to start a PhD in Statistics at Duke University. He went on leave from Duke in the summer of 2011 to devote more time to developing Pandas, [6] culminating in the writing of Python for Data Analysis in 2012. In 2012, he co-founded Lambda Foundry Inc. [7]

  4. Dataframe - Wikipedia

    en.wikipedia.org/wiki/Dataframe

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  5. Category:Free statistical software - Wikipedia

    en.wikipedia.org/wiki/Category:Free_statistical...

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  6. Matt Colton - Wikipedia

    en.wikipedia.org/wiki/Matt_Colton

    Matt Colton (born 30 March 1975) is an English mastering engineer and member of the mastering group of the Music Producers Guild.He has mastered recordings for artists such as Muse, Coldplay, James Blake, George Michael, Hot Chip, Gary Numan, Peter Gabriel, Flume, Erasure, and Depeche Mode.

  7. Foundations of statistics - Wikipedia

    en.wikipedia.org/wiki/Foundations_of_statistics

    The Foundations of Statistics are the mathematical and philosophical bases for statistical methods. These bases are the theoretical frameworks that ground and justify methods of statistical inference , estimation , hypothesis testing , uncertainty quantification , and the interpretation of statistical conclusions.

  8. Statistical data type - Wikipedia

    en.wikipedia.org/wiki/Statistical_data_type

    The data type is a fundamental concept in statistics and controls what sorts of probability distributions can logically be used to describe the variable, the permissible operations on the variable, the type of regression analysis used to predict the variable, etc.

  9. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    the jackknife procedure, used to estimate biases of sample statistics and to estimate variances, and; cross-validation, in which the parameters (e.g., regression weights, factor loadings) that are estimated in one subsample are applied to another subsample. For more details see resampling.