DataMelt VS WinPython
Compare DataMelt VS WinPython and see what are their differences
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future!
featured
DataMelt
LabPlot
SciDaVis
Aveloy Graph
RJS Graph
IGOR Pro
DPlot
GnuPlot
WinPython
PyCharm
Portable Python
Anaconda
Spyder
Thonny
IDLE
PythonAnywhere
DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program is used for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. Full description: https://handwiki.org/wiki/Software:DataMelt
DataMelt WinPythonNo DataMelt videos yet. You could help us improve this page by suggesting one.
DataMelt's answer
students and data scientists
DataMelt's answer
DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.
DataMelt's answer
Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
DataMelt's answer
Large database of examples and code snippets https://datamelt.org/code/
DataMelt's answer
Students at universities and data scientists.
DataMelt's answer
Java (JDK any new new release including JDK20)
I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples
Based on our record, WinPython seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with... - Source: dev.to / about 1 year ago
How can I use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? Thx in advanced. #portablepython. Source: about 2 years ago
You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer. Source: about 2 years ago
Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to... - Source: Hacker News / over 2 years ago
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/. Source: over 2 years ago
LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.
Portable Python - Minimum bare bones portable python distribution with PyScripter as development environment.
Aveloy Graph - Aveloy Graph is an application for graph creation / data visualization
Anaconda - Anaconda is the leading open data science platform powered by Python.