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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. It is free software released under the three-clause BSD license. [2]
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.
Parallel 2.x and 3.x releases then ceased, and Python 2.7 was the last release in the 2.x series. [30] In November 2014, it was announced that Python 2.7 would be supported until 2020, but users were encouraged to move to Python 3 as soon as possible. [31] Python 2.7 support ended on January 1, 2020, along with code freeze of 2
Anaconda distribution comes with over 300 packages automatically installed, and over 7,500 additional open-source packages can be installed from the Anaconda repository [36] as well as the Conda package and virtual environment manager. It also includes a GUI, Anaconda Navigator, [37] as a graphical alternative to the command-line interface (CLI).
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy. It also exposes low-level APIs that help programmers run custom algorithms in parallel. Dask was created by Matthew Rocklin [2] in December 2014 [3] and has over 9.8k stars and 500 contributors on ...
The beta version of the product was released in July 2010, with the 1.0 arriving 3 months later. Version 2.0 was released on December 13, 2011, version 3.0 was released on September 24, 2013, and version 4.0 was released on November 19, 2014. [19] PyCharm became open source on October 22, 2013.
IPython 5.x (Long Time Support) series is the last version of IPython to support Python 2. The IPython project pledged to not support Python 2 beyond 2020 [9] by being one of the first projects to join the Python 3 Statement, the 6.x series is only compatible with Python 3 and above. It is still possible though to run an IPython kernel and a ...