1,392 skills found · Page 5 of 47
vinsguru / Java Reactive Programming CourseNo description available
jeanqasaur / Women In Programming Languages ResearchWomen in Programming Languages and Software Engineering Research
swcarpentry / R Novice InflammationProgramming with R
EnergyQuantResearch / Optimal Energy System Scheduling Combining Mixed Integer Programming And Deep Reinforcement LearningThe Source code for paper "Optimal Energy System Scheduling Combining Mixed-Integer Programming and Deep Reinforcement Learning". Safe reinforcement learning, energy management
surveydown-dev / SurveydownMarkdown-Based, Programmable Surveys Using R, Quarto, Shiny, and PostgreSQL
sascommunities / Sas Prog For R UsersTeaching and lab materials for the "SAS Programming for R Users" course, including course notes, data, and code.
wurli / R Best PracticeA cheatsheet for basic best practice in R programming
PacktPublishing / Mastering ROS For Robotics Programming Second EditionMastering ROS for Robotics Programming - Second-Edition, published by Packt
C-Community-Hub / C BasicsThis repository contains solutions and exercises from "The C Programming Language" by Brian W. Kernighan and Dennis M. Ritchie (K&R).
vasnake / Principles Of Reactive ProgrammingPrinciples of Reactive Programming, Scala: assignments and other code from Coursera https://class.coursera.org/reactive-002
smallnest / Rpcx Programming Guide Cngitbook Go RPC开发指南 [中文文档]
j-2k / GraphicsProgrammingRoadmapThis roadmap's sole purpose is to remind myself/anyone of what is needed to learn in order to become a graphics engineer.
mlr-org / Mlr3pipelinesDataflow Programming for Machine Learning in R
holgerbrandl / R4intellijAn integration of the R programming language into Intellij IDEA
xSavitar / Programming Books And Resources:book: Collection of programming related books & their frameworks.
asad70 / Wallstreetbets Sentiment AnalysisThis program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
SENATOROVAI / Data Science For Beginners From Scratch CourseData science for beginners involves learning to extract insights from data using statistics, programming (Python/R), and visualization. Key steps include data collection, cleaning, analysis, modeling, and communicating findings. Beginners should start with Python, basic math (linear algebra/calculus), and build projects to create a portfolio.
PacktPublishing / CPP Reactive ProgrammingC++ Reactive Programming, published by Packt
PacktPublishing / Rust Web ProgrammingRust Web Programming, published by Packt
eddelbuettel / RinsideSeamless embedding of R in C++ programs
