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From appsilon.com

Definition of Done (DoD) Checklist for Pharma Teams

0 1

Ensure your team meets compliance and quality with our DoD checklist.

on Thu, 2PM

From appsilon.com

Shiny for Python: How to Create and Style a Custom Module

0 0

Two examples on how to create a custom module in Shiny for Python - Introducing reusable components in PyShiny.

on Nov 11

From appsilon.com

Tapyr 0.2 Update: Package Management with uv and Shiny for Python Testing API

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Discover Tapyr 0.2’s new package management with uv and Shiny for Python testing API, enhancing deployment and performance.

on Oct 29

From appsilon.com

Rhino 1.10.0 Update: Automated Styling & Auto-complete for box Modules

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Rhino 1.10.0 brings easier coding with automated styling and auto-complete for box modules—keeping your code clean and efficient.

on Sep 14

From appsilon.com

{shiny.telemetry} 0.3.0: Track User Behavior in Your Shiny Applications

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{shiny.telemetry} 0.3.0 introduces enhanced Shiny app analytics with advanced user tracking, error monitoring, MongoDB support, and improved security.

on Aug 8

From appsilon.com

Introducing Positron: A New, Yet Familiar IDE for R and Python

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The current state of data science IDEs leaves a lot to be desired. Can a new offering from Posit - Positron IDE - be a go-to solution for R and Python professionals?

on Aug 1

From appsilon.com

The Hidden Challenges of Working with Cloud LLMs: A Text2Graph Case Study

0 1

Learn from our experience handling unexpected GPT-4 changes, prompt engineering, monitoring, and adapting in cloud-based LLMs.

on Jul 28

From appsilon.com

Designing for Complexity: 5 Key Considerations in High-Fidelity Prototyping

0 1

Tackle design complexity through high-fidelity prototyping by thinking creatively, valuing user input and ensuring scalability.

on Jul 28

From appsilon.com

R One Billion Row Challenge: Is R Viable Option for Analyzing Huge Datasets?

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R isn’t the fastest programming language, but professionals love it for processing data. Just how fast is it for processing one billion rows? We did the research, you do the reading.

on May 28

From appsilon.com

R Dplyr vs. DuckDB - How to Enhance Your Data Processing Pipelines with R DuckDB

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Vanilla R can be slow, but there’s no reason not to up your game and process larger-than-memory datasets. R DuckDB can help - we explain how.

on May 21

From appsilon.com

Infinite Scrolling in R Shiny

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Display chunks of content to Shiny users in a performant manner with infinite scroll.

on Apr 24

From appsilon.com

Why Attending ShinyConf2024 Can Be a Game Changer for Your Career

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Master R/Shiny skills, network with experts, and explore cutting-edge trends in our leading virtual conference, April 17-19.

on Apr 12

From appsilon.com

Introduction to Clinical Tables with the {gt} Package

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Learn how to transform clinical data into clear, concise tables for better decision-making and reporting with R's {gt} package.

on Apr 9

From appsilon.com

Navigating ShinyConf 2024: A First-Timer’s Guide to Virtual Conferences

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Maximize your virtual conference experience at ShinyConf 2024 with essential tips for navigating the agenda, engaging in interactive sessions, and networking virtually in the inclusive Shiny community.

on Apr 5

From appsilon.com

Choosing the Right Data Visualization Tool: R Shiny, PowerBI, or Spotfire

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Which data visualization tool is right for your business? Compare R Shiny, PowerBI, and Spotfire and find out which platform has the best data dashboards.

on Apr 4

From appsilon.com

Escape the Spreadsheet Inferno: Switch to Shiny for Clinical Trial Reporting

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Explore Shiny's edge in clinical data management: real-time insights, improved decision-making, better security and scalability.

on Mar 27

From appsilon.com

5 Promising Applications of Machine Learning in Drug Discovery

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Explore the transformative role of machine learning in drug discovery, offering faster, cost-effective, and precise pharmaceutical solutions.

on Mar 19

From appsilon.com

R Shiny Security: How to Make Your Shiny Apps Secured

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Secure your R Shiny apps with best practices on authentication, SQL queries, UI, error handling, and user input to prevent vulnerabilities.

on Mar 12

From appsilon.com

Reproducible and Reliable Shiny Apps for Regulatory Submissions - R programming

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Is validating Shiny apps necessary for regulatory submissions? Learn how it ensures compliance and reliability in clinical trials.

on Mar 7

From appsilon.com

Celebrating Growth: Appsilon in The Financial Times 1000 - Appsilon Community

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Appsilon celebrates our second consecutive ranking in The Financial Times 1000 as one of Europe's fastest-growing companies in 2024!

on Mar 2

From appsilon.com

R Programming and Pharmaceutical Data Analysis (Packages for Clinical Trial Data) - R programming

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R programming is improving Life Sciences data analysis with open source. Discover libraries of R packages for Clinical Trial analysis.

on Feb 26

From appsilon.com

Level Up Your R Shiny Team Skills - Workshop

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Personalized Workshops Designed to Elevate Your R/Shiny Team's Skills to New Heights. Tailor-Made for Your Success.

on Feb 5

From appsilon.com

Can I Do that In R? Advanced Excel Functions in R for Data Manipulation - R programming

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Excel doesn't excel at everything. For advanced features, look no further than R. This article brings the top advanced Excel function in R.

on Feb 1

From appsilon.com

Goodbye Complicated Dropdowns: Welcome to the New Era of Human Readable Filters - R programming

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Discover the simplicity of Human Readable Filters - Transform web searches from complex dropdowns to intuitive, human-readable sentences.

on Jan 25

From appsilon.com

Announcing shiny.semantic 0.5.0: Enhanced Features for Your Shiny Applications - R programming

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Check out the latest shiny.semantic 0.5.0 release and see how its new features can optimize your R Shiny apps.

on Jan 23

From appsilon.com

Revolutionizing Patient Data Analysis: Boston Medical Center's Journey with Machine Learning - Machine Learning

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Dive into Boston Medical Center's innovative use of machine learning to reshape healthcare through predictive analytics and tailored patient care.

on Jan 23

From appsilon.com

Learnings from the First R-Based Submission to FDA by Novo Nordisk - R programming

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Explore Novo Nordisk's pioneering R-based submission to the FDA, highlighting strategies and key insights in pharmaceutical compliance.

on Jan 10

From appsilon.com

R Shiny Modules: How to Create Your First R Shiny Module - R programming

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R Shiny Modules allow you to improve structure of your Shiny app. Make sure to know the optimal way to use them.

on Nov 10, 2023

From appsilon.com

Shiny for Python Deploy: How to Host Your App For Free on GitHub Pages - Shiny for Python

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Building Shiny apps is fun, but what about deployment? Learn how you can utilize GitHub pages for a free Shiny for Python deploy.

on Oct 18, 2023