NumeRe
SciDaVis
GnuPlot
IGOR Pro
Matplotlib
MATLAB
OriginPro
Fityk
WinPython
Portable Python
PyCharm
Anaconda
Python
Thonny
Wing IDE
IDLE
NumeRe: Framework for Numerical Computations is an application for Microsoft Windows® that can do more than the usual spreadsheets. It provides you with nonlinear fits of arbitrary functions as well as a ODE solver. It can display 1D and 2D data easily and publication-ready with a simple command. Fourier transforms are included as well as wavelet transforms. Data is managed in a table-based manner and automatically saved, so you can quickly resume after a restart.
We never understood why you have to write as much code for simple things as for more complex tasks. Our mantra is therefore Keep simple things simple.
NumeRe's main goal is to be as intuitive as possible, which implies a syntax that is as simple and clear as possible. NumeRe does not try to be dynamically typed, but deliberately emphasizes that you understand what is happening as soon as you read the code. In addition, the advanced editor highlights different data structures in different colors, so the syntax may seem a bit "colorful and choppy" at first. But we can guarantee that you will appreciate it very soon.
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NumeRe is built using mainly C++ together with some minor code snippets from C. A large variety of additional libraries is used, but most code has been written from scratch.
NumeRe's answer
NumeRe's answer
You can read about it here: https://en.numere.org/about/further-information
NumeRe's answer
We plan a bog article about this question shortly. Just head over to https://en.numere.org/home/blog and look, if it already has been published.
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 2 months 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 1 year 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 1 year 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 1 year ago
One option would be to use a portable Python runtime. Like this one: https://winpython.github.io/. Source: over 1 year ago
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.
GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
IGOR Pro - Technical graphing and data analysis for Macintosh and Windows.
Anaconda - Anaconda is the leading open data science platform powered by Python.
