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Deploying a Shiny App in R using clinical trial data with Posit Connect
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1
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287
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posit::glimpse() Newsletter
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1
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209
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Building Data Pipelines in Python & R
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1
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289
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July 29, 2023
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Team 101 Series: Posit Workbench
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1
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320
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`purrr::walk()` this way
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1
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232
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July 25, 2023
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Why R and Python developers need shared infrastructure
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1
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271
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July 24, 2023
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April 2023: "Top 40" New CRAN Packages
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1
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267
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July 24, 2023
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Build Beyond Your Laptop with RStudio on Amazon SageMaker
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1
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255
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July 22, 2023
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Enable R development at scale with RStudio on Amazon SageMaker
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1
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251
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July 17, 2023
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Announcing pins 1.2.0
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1
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156
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July 17, 2023
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Color coding your data in {gt} 0.9.0
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1
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250
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July 16, 2023
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desirability2
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1
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197
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July 16, 2023
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How we build the posit::conf() program
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1
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255
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July 15, 2023
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Integrate Posit Workbench with your Altair Grid Engine
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1
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251
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July 15, 2023
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Creating ADaM Subject-Level Analysis Datasets (ADSL) with the Pharmaverse, Part 2
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1
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170
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July 14, 2023
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Why Shiny for Python?
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1
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250
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July 9, 2023
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Posit Package Manager 2023.04.0: Curated PyPI repos and more
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1
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422
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July 8, 2023
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Driving impact with data science communities
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1
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239
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July 7, 2023
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The State of Pharma: Collaboration and Innovation with Open-Source Tools
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1
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333
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July 3, 2023
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Learn Python for Data Science with Posit Academy
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1
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355
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July 2, 2023
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Big changes to making summary rows in {gt} 0.9.0
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1
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325
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July 2, 2023
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Deploying a Shiny for Python application with Posit Connect
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1
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313
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July 1, 2023
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Q1 2023 tidymodels digest
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1
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385
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June 27, 2023
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Shiny for Python is now generally available
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1
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451
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June 26, 2023
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Getting Started with RStudio on Amazon SageMaker
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1
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276
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June 26, 2023
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Deploying a Dash application with Posit Connect
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1
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419
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June 25, 2023
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From IT to management: How data science leaders are harnessing the power of open source in pharma
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1
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260
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Manage your database connections from Posit Cloud
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1
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332
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Differences between the base R and magrittr pipes
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1
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438
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posit::glimpse() Newsletter
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1
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343
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June 19, 2023
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