Search results
Results from the WOW.Com Content Network
RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser .
Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python. It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5]
In 2011, the Python Packaging Authority (PyPA) was created to take over the maintenance of pip and virtualenv from Bicking, led by Carl Meyer, Brian Rosner, and Jannis Leidel. [ 10 ] With the release of pip version 6.0 (2014-12-22), the version naming process was changed to have version in X.Y format and drop the preceding 1 from the version label.
R is a programming language for statistical computing and data visualization.It has been adopted in the fields of data mining, bioinformatics and data analysis. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
Windows, Linux, macOS: Python: PyQt: GPLv3 "or later" Yes, until version 4.5.25 and since version 5.5.0 [51] Yes, since version 5.0.0 [52] Yes, for Python 2 & 3 Yes: Qt Creator: Unknown Yes Yes Yes Multiple integrated checkers and Pylint via plug-in Yes Yes Yes Subversion and Mercurial (core plug-ins), git (optional plug-in) Django as ...
KDevelop has supported a variety of programming languages, including C, C++, Python, PHP, Java, Fortran, Ruby, Ada, Pascal, SQL, and Bash scripting. Supported build systems include GNU (automake), cmake, qmake, and make for custom projects (KDevelop does not destroy user Makefiles if they are used) and scripting projects which don't need one.
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).
In addition, users can install modules from a library of community created open source add-on modules to extend the package's capabilities. [ 10 ] [ 11 ] These modules are written in the R programming language and make use of the jmv [ 12 ] and jmvtools [ 13 ] libraries to create the interface and display code.