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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 ...
Python is a high-level, general-purpose programming language.Its design philosophy emphasizes code readability with the use of significant indentation. [33]Python is dynamically type-checked and garbage-collected.
IPython continues to exist as a Python shell and a kernel for Jupyter, while the notebook and other language-agnostic parts of IPython moved under the Jupyter name. [4] [5] Jupyter supports execution environments (called "kernels") in several dozen languages, including Julia, R, Haskell, Ruby, and Python (via the IPython kernel).
Anaconda is an open source [9] [10] data science and artificial intelligence distribution platform for Python and R programming languages.Developed by Anaconda, Inc., [11] an American company [1] founded in 2012, [11] the platform is used to develop and manage data science and AI projects. [9]
IPython, a development shell both written in and designed for Python; Jinja, a Python-powered template engine, inspired by Django's template engine; Kid, simple template engine for XML-based vocabularies; Meson build system, a software tool for automating the building (compiling) of software
Python reached version 1.0 in January 1994. The major new features included in this release were the functional programming tools lambda, map, filter and reduce.Van Rossum stated that "Python acquired lambda, reduce(), filter() and map(), courtesy of a Lisp hacker who missed them and submitted working patches".
Pérez began working on IPython as a side project in 2001, and is a co-founder of Project Jupyter, which evolved from IPython in 2014. [1] [8] [18] He received a 2023 NASA Exceptional Public Service Medal for his leadership of Project Jupyter. [19]
NumPy (pronounced / ˈ n ʌ m p aɪ / NUM-py) is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. [3]