7/30/2023 0 Comments 2d plot veuszClick the "help" button and click on the "tutorial" button. Veusz also has a great built-in interactive tutorial. This video introduces you to the user interface and shows you how to create a simple plot in Veusz. Tutorials and Resources Ī great introductory video provides you with a simple tour around Veusz. This section will grow and develop as we become more familiar with Veusz. Learning curve to becoming familiar with the user interface.Veusz is not capable of producing 3-D plots.This provides you with more freedom in data manipulation and expression. More formatting features and options compared to Microsoft Excel.This is nice because you can't easily do this with Microsoft Excel and some journals require these file formats. Veusz can export files as EPS, PDF, SVG, or bitmap formats directly.It's ideally suited to handling and manipulating scientific data.There are also distribution packages for Debian, Fedora, FreeBSD, Gentoo, and more. Veusz can be downloaded onto a variety of platforms including Linux, Windows, and Mac OS X. Examples of the types of plots that can be prepared using Veusz can be found here. This software prepares professional looking plots that can be readily submitted to scientific journals. ![]() Veusz, pronounced "views", is a free and open source scientific plotting software that was written in Python. This page describes how to use Veusz to create scientific plots. 1 Using Veusz to Create Scientific Plots.Stars and Stripes is an occasional series looking at the impact of Linux in the USA. Linux Around The World showcases usergroups that are relevant to Linux enthusiasts. These free tutorials offer the perfect tonic to our free programming books series. These best free books accelerate your learning of every programming language. There's a strict eligibility criteria for inclusion in this series. We showcase free Android apps that are definitely worth downloading. Getting Started with Docker helps you master Docker, a set of platform as a service products that delivers software in packages called containers.īest Free Android Apps. Have some fun and escape from the daily drudgery. Linux Candy reveals the lighter side of Linux. Linux at Home looks at a range of home activities where Linux can play its part, making the most of our time at home, keeping active and engaged. Now and Then examines how promising open source software fared over the years. Emulate home computers including the Commodore 64, Amiga, Atari ST, ZX81, Amstrad CPC, and ZX Spectrum. Home computers became commonplace in the 1980s. Saving Money with Linux looks at how you can reduce your energy bills running Linux. Surveys popular streaming services from a Linux perspective: Amazon Music Unlimited, Myuzi, Spotify, Deezer, Tidal. Small, indispensable tools, useful for anyone running a Linux machine. Linux utilities to maximise your productivity. We start right at the basics and teach you everything you need to know to get started with Linux.Īlternatives to popular CLI tools showcases essential tools that are modern replacements for core Linux utilities.Įssential Linux system tools focuses on small, indispensable utilities, useful for system administrators as well as regular users. New to Linux? Read our Linux for Starters series. Machine Learning explores practical applications of machine learning and deep learning from a Linux perspective. Replace proprietary software with open source alternatives: Google, Microsoft, Apple, Adobe, IBM, Autodesk, Oracle, Atlassian, Corel, Cisco, Intuit, and SAS. We offer helpful and impartial information. Hundreds of in-depth reviews offering our unbiased and expert opinion on software. Each article is supplied with a legendary ratings chart helping you to make informed decisions. The largest compilation of the best free and open source software in the universe. Learn Python with our recommended free books and free tutorials. License: GNU General Public License version 2 or higher Support: Manual, Man page, FAQs, GitHub Code Repositoryĭeveloper: Jeremy Sanders and contributors Cross-platform support – runs under Linux, FreeBSD, NetBSD, OpenBSD, Mac OS X, and Windows.make new datasets, optionally linked to existing datasets.Plugin interface to allow user to write or load code to:.User defined functions, constants and can import external Python functions.n-dimensional datasets can be sliced for plotting.Data can be captured from external sources.Text, CSV, HDF5, FITS, NPY/NPZ, QDP, binary and user-plugin importing. ![]()
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