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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 .
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.
Read on for their vulnerable and powerful stories. Warning, Pandas, many of these stories hit hard. ... two f*****g states away and teach myself how to drive illegally to get my drivers license ...
[3] [35] [36] Kenyon had co-authored Of Pandas and People, and in 1993 Meyer had contributed to the teacher's notes for the second edition of Pandas. Meyer was an old friend of Discovery Institute co-founder George Gilder, and over dinner about a year later they formed the idea of a think tank opposed to materialism.
Image credits: SurlyJason #2. Told some friends i knew a language i barley did. Ended up learning said language… Now im a language nerd because i just discovered my love for learning languages.
F: — First network drive if using Novell NetWare. G: — "Google Drive File Stream" if using Google Drive. H: — "Home" directory on a network server. L: — Dynamically assigned load drive under Concurrent DOS, Multiuser DOS, System Manager and REAL/32. [6] [7] M: — Drive letter for optionally memory drive MDISK under Concurrent DOS. [6]
Read the actual police report and you'll see that he tormented and even attempted to kill her. And this man is still walking and making music and garnering fans. Really does make me sick.
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."