iTALC--> Intelligent Teaching and Learning with Computers
TCExam--> FLOSS Computer-Based Assessment system
Moodle--> Produce modular internet-based courses
ATutor--> Designed with accessibility and adaptability in mind
Claroline--> Collaborative e-Learning and eWorking platform
Mando--> Interactive whiteboard using a camera and a projector
iTest--> Computerised examination
Welcome to Mathbuntu*, where Mathematics and (K)ubuntu come together. The goal of Mathbuntu.org is to provide easy access to the best open source mathematics software available, and the best free** textbooks available. Mathbuntu is for learning, doing, and communicating mathematics. The software listed below forms the core of Mathbuntu. These applications put the world of mathematics at your fingertips.
Sage (Mathematics Software System)
Maxima (Computer Algebra System)
R (Statistical Computing)
Octave and Scilab (Numerical Computation)
GeoGebra (Interactive Geometry and Algebra)
LaTeX (Document Preparation System)
Summary: Linux® is a great platform for scientific computing and is heavily used by the academic community for numerous tasks. While many open source projects address specific applications, the Sage mathematical project delivers a more generic problem-solving capability. Python is the primary language for many of the highest profile scientific applications, which this article discusses.
If you’re learning a foreign language, there is always the need to go beyond the standard textbooks and listening materials. Resources like CDs,DVDs, and even movies in that particular language help you become a good listener and communicator. Also, these days, there are plenty of software available that help you learn better and faster. On Linux too, there are many such applications that can push you further in your linguistic endeavors without you having to pay a single penny. Here is a list of the best ones.
Science is the effort of seeking to comprehend how the physical world works. From observation and experimentation, science uses physical evidence of natural phenomena to compile data and analyze the collated information.
Statistical Analysis Tools
R Environment for statistical computing and graphics (see graphical interfaces)
PSPP Free replacement of the proprietary program, SPSS
SOFA Statistics Extremely user-friendly statistics, analysis and reporting package
ROOT Solves the data analysis challenges of high-energy physics
MacAnova Multi-platform statistical analysis and matrix alegbra
PAW Analyze and graphically present experimental data
medit Programming and around-programming text editor
Textadept Fast, minimalist, and extensible cross-platform text editor
RText Customizable editor written in Java
Zile Very small Emacs-subset editor
XML Copy Editor Fast, free, validating XML editor
Editra Easy to use interface and offers features that aid in code development
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