Search Results for "r-map"

Simple source files and compiled JAR Java programs, for benchmark 50 000 000 cycle finding prime numbers. On Intel(R) Core(TM) i5-8600K CPU, Windows 10 20H2, i have 39 second on single core and 7,6 second on multi core. (PS: C++ multicore 6 second). Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). Surprise, same code in JavaScript for M2 chip in Safari: 12,5 sec single core and 3,3 sec multi core. ...

...To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools, useful whether you work with Windows, macOS, or Linux. You’ll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you’re comfortable processing data with Python or R, you’ll learn how to greatly improve your data science workflow by leveraging the command line’s power.

EN: Touch typing web interface for estonian keyboard to learn using all 10 fingers while typing without looking the keyboard. EE: Pimekirja harjutamise programm eestikeelse klaviatuuriga 10 sõrmega trükkimise harjutamiseks veebipõhise liidesega.

...The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow.

YANG (Yet Another Network Generator - Java) enables you to generate social networks given various social rules observed in the real population. Uses: generate realistic networks to be used in individual-centric models, teaching or benchmarking.

ConDEnSE (Confidential Data Enabled Statistical Exploration) will be a web-based environment for statistical analysis of confidential data from various database sources, based on Plone and R, and using the Jackknife method of confidentiality protection.

This project develops a middleware that connects a web map service (GoogleMaps) with the IMS QTI specification that generates new ways of interactions on a map.

...Collected data will be uploaded to an online weather server where visitors can see the collected data. Multiple stations can send data to the weather website and visitors can select which station to see using a simple search or selecting from a map. Sensors: - Precipitation (Rain gauge) - Temperature - Humidity (Hygrometer) - Air Pressure (Barometer) - Wind Speed (Anemometer) - Wind Direction (Wind vane)