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About the News category
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0
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365
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November 6, 2020
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Tidyteam code review principles
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0
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16
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June 5, 2023
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Deploy your models on Amazon SageMaker with vetiver
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16
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June 5, 2023
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Posit at PharmaSUG
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27
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June 2, 2023
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Using R and RStudio for Data Science on Amazon SageMaker
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0
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34
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June 1, 2023
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New in {gt} 0.9.0: Interactive tables
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38
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May 31, 2023
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Deploying a Shiny App in R using clinical trial data with Posit Connect
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12
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May 31, 2023
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Using R in Production with Posit Connect: Deploying Models as APIs for Customer-Facing Applications
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0
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13
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May 31, 2023
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posit::glimpse() Newsletter
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0
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36
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May 30, 2023
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Building Data Pipelines in Python & R
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0
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33
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May 30, 2023
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Team 101 Series: Posit Workbench
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0
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53
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May 26, 2023
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`purrr::walk()` this way
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0
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39
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May 26, 2023
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Why R and Python developers need shared infrastructure
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0
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50
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May 25, 2023
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April 2023: "Top 40" New CRAN Packages
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43
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May 25, 2023
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Build Beyond Your Laptop with RStudio on Amazon SageMaker
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0
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41
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May 23, 2023
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Enable R development at scale with RStudio on Amazon SageMaker
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0
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70
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May 18, 2023
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Announcing pins 1.2.0
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0
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24
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May 18, 2023
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Color coding your data in {gt} 0.9.0
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0
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50
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May 17, 2023
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desirability2
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0
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30
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May 17, 2023
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How we build the posit::conf() program
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0
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51
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May 16, 2023
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Integrate Posit Workbench with your Altair Grid Engine
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0
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46
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May 16, 2023
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Creating ADaM Subject-Level Analysis Datasets (ADSL) with the Pharmaverse, Part 2
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0
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40
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May 15, 2023
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Why Shiny for Python?
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0
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76
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May 10, 2023
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Posit Package Manager 2023.04.0: Curated PyPI repos and more
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0
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88
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May 9, 2023
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Driving impact with data science communities
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69
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May 8, 2023
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The State of Pharma: Collaboration and Innovation with Open-Source Tools
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0
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76
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May 4, 2023
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Learn Python for Data Science with Posit Academy
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0
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140
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May 3, 2023
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Big changes to making summary rows in {gt} 0.9.0
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0
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82
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May 3, 2023
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Deploying a Shiny for Python application with Posit Connect
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0
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78
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May 2, 2023
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Q1 2023 tidymodels digest
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0
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80
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April 28, 2023
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