Programming languages, frameworks, and development tools
Found 165 articles
Collinearity can obscure the clarity of regression results, affecting coefficients and their significance. Here’s how to identify and manage it effectively.
Unlock your potential with Spring 2027's comprehensive data science training courses in R and Python, running from January to June.
MCP servers streamline AI integration, enabling models to perform tasks beyond training data, simplifying connectivity and enhancing functionality.
Field experiments often misuse correlation coefficients, leading to misleading conclusions about relationships between traits. A deeper analysis reveals more nuanced insights.
{brochure} enables true multipage Shiny apps, allowing for individual URLs and server functions, enhancing user experience and application structure.
Service virtualization tools must adapt to cloud-native demands, ensuring accurate testing in environments with frequent, independent microservice deployments.
Explore how containerization can enhance security for AI coding agents while simplifying permissions and protecting sensitive information.
Maestro 1.4.0 offers a powerful new feature that allows users to record custom metrics, significantly enhancing pipeline performance visibility and monitoring.
A free Cytometry in R course has drawn global interest. Bioconductor’s new working group aims to connect learners with package documentation and support.
Recent updates to the permute package in R introduce ordered set partitions and improved formulas, simplifying the setup for permutation tests.
Explore effective strategies for validating AI-generated code in ecological data analysis, ensuring accuracy and reliability in your workflows.
A new approach to data science programming aims to eliminate common pitfalls, enhancing reproducibility and efficiency while leveraging modern tools.
This book offers a detailed roadmap for implementing Bayesian modeling, emphasizing practical techniques and iterative improvements.
The BioFAIR CoFest emphasized collaboration among bioinformatics communities to enhance research software interoperability, with hands-on training and practical workflows.
Explore five key R package management tools that enhance workflow, simplify dependency management, and ensure reproducibility in data science projects.
R-Forge is sunsetting after two decades, making way for Codeberg, a modern platform for R package development and collaboration.
Discover vital strategies for enhancing the reliability and performance of AI applications in Kubernetes through intelligent design and management practices.
Explore the latest insights on global crude oil stocks, highlighting current inventory levels and data challenges that impact our understanding.
Migrating from Shiny to htmxr requires a shift in focus from code mechanics to core data principles for enhanced application design.
As rOpenSci celebrates its 15th anniversary, members share valuable insights on community-building, collaboration, and the importance of kindness.