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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 .
Python 2.1 was close to Python 1.6.1, as well as Python 2.0. Its license was renamed Python Software Foundation License . All code, documentation and specifications added, from the time of Python 2.1's alpha release on, is owned by the Python Software Foundation (PSF), a nonprofit organization formed in 2001, modeled after the Apache Software ...
Yahoo! Groups uses Python "to maintain its discussion groups" [citation needed] YouTube uses Python "to produce maintainable features in record times, with a minimum of developers" [25] Enthought uses Python as the main language for many custom applications in Geophysics, Financial applications, Astrophysics, simulations for consumer product ...
Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]
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.
Atlanta Hawks' Dyson Daniels (5) defends as Milwaukee Bucks' Giannis Antetokounmpo shoots during a semifinal game in the NBA Cup basketball tournament Saturday, Dec. 14, 2024, in Las Vegas.
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
From March 2009 to December 2012, if you bought shares in companies when Frank D. Yeary joined the board, and sold them when he left, you would have a 35.3 percent return on your investment, compared to a 79.5 percent return from the S&P 500.