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The name is derived from the term "panel data", an econometrics term for data sets that include observations over multiple time periods for the same individuals, [3] as well as a play on the phrase "Python data analysis". [4]: 5 Wes McKinney started building what would become Pandas at AQR Capital while he was a researcher there from 2007 to ...
Wes McKinney is an American software developer and businessman. He is the creator and "Benevolent Dictator for Life" (BDFL) of the open-source pandas package for data analysis in the Python programming language, and has also authored three versions of the reference book Python for Data Analysis .
Data Orchestration System [19] Miles Lubin: JuMP: Mathematical optimization modeling language in Julia [20] Yukihiro Matsumoto (Matz) Ruby: Programming language [21] Wes McKinney: Pandas: Python data analysis library [22] Gavin Mendel-Gleason [a] TerminusDB: Open-source graph database for knowledge graph representation [23] [24] Bram Moolenaar ...
In November 2023, Wes McKinney, creator of the Python package pandas, joined Posit as a principal architect. He was hired to advocate for the needs of the Python data ecosystem at Posit. [14] In December 2023, Xie was laid off. In his time at Posit, Xie worked on R packages such as R Markdown, knitr, blogdown, and bookdown. [15] [16]
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We examined the 18,686,752 Twitter users who followed Trump or Clinton at the time of our analysis. Of those, 7,972,079 users wrote bios: 4,232,803 Clinton followers and 5,078,544 Trump followers. There’s an overlap of 1,339,268 users with bios who follow both Clinton and Trump. Organizing the profile information took weeks:
Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").
IPython (Interactive Python) is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history. IPython provides the following features: Interactive shells (terminal and Qt-based).