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Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name. pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14]
The syntax of Meson's build description files, the Meson language, borrows from Python, but is not Python. It is designed such that it can be reimplemented in any other language; [9] for example, muon [10] is a C implementation, and Meson++ [11] is a C++ implementation. The dependency on Python is an implementation detail.
D Dub – Official package and build manager of the D Language Flowtracer – Build management tool Pages displaying short descriptions of redirect targets Gradle – Free software build automation tool; with a Groovy - and Kotlin -based domain specific language (DSL), combining features of Apache Ant and Apache Maven with more features like a ...
NINJA-IDE (from the recursive acronym: "Ninja-IDE Is Not Just Another IDE"), is a cross-platform integrated development environment (IDE) designed to build Python applications. It provides tools to simplify Python software development and handles many kinds of situations thanks to its rich extensibility.
Enthought Canopy: a package manager for Python scientific and analytic computing distribution and analysis environment; Gradle: a build system and package manager for Groovy and other JVM languages, and also C++; Ivy: a package manager for Java, integrated into the Ant build tool, also used by sbt; Leiningen: a project automation tool for Clojure
Ninja is a build system developed by Evan Martin, [4] a Google employee. Ninja has a focus on speed and it differs from other build systems in two major respects: it is designed to have its input files generated by a higher-level build system, and it is designed to run builds as fast as possible.
[4]: 5 Wes McKinney started building what would become Pandas at AQR Capital while he was a researcher there from 2007 to 2010. [5] The development of Pandas introduced into Python many comparable features of working with DataFrames that were established in the R programming language. [6] The library is built upon another library, NumPy.
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.