scales 1.3.0
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0
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13
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November 27, 2023
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httr2 1.0.0
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0
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48
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November 14, 2023
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The Road to Building Ten Million Binaries
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0
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52
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November 13, 2023
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Three ways errors are about to get better in tidymodels
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0
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51
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November 10, 2023
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Next-generation access to Databricks clusters in RStudio with sparklyr and pysparklyr
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0
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23
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November 8, 2023
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Posit + Databricks: Improved productivity for your data teams
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0
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70
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November 6, 2023
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Welcome, Wes!
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0
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102
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November 6, 2023
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dbplyr 2.4.0
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0
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71
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October 26, 2023
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ShinyUiEditor: Out of Alpha
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0
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89
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October 24, 2023
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testthat 3.2.0
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0
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100
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October 8, 2023
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Q3 2023 tidymodels digest
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0
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85
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October 5, 2023
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Open Source Software in Pharma – Celebrating 5 Years of R/Pharma
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0
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77
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October 3, 2023
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RStudio IDE and Posit Workbench 2023.09.0: What’s New
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0
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111
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October 2, 2023
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Five takeaways from posit::conf(2023)
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1
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220
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November 28, 2023
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Crossing Bridges: Reporting on NYC taxi data with RStudio and Databricks
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1
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116
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November 12, 2023
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pak 0.6.0
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1
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140
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November 4, 2023
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Introducing Project Templates in Posit Cloud
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1
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177
|
October 28, 2023
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The many reasons that pharmas love {gt}
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1
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108
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October 27, 2023
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New interface to validation splits
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1
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117
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October 24, 2023
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Previewing the R/Pharma Roundtable Summit: Exploring Organizational Challenges in Open Source
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1
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119
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October 20, 2023
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Reticulate 1.31
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1
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118
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October 16, 2023
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webR 0.2.0 has been released
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1
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163
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October 15, 2023
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Novo Nordisk’s journey to an R-based FDA submission
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1
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260
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October 10, 2023
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Teaching the tidyverse in 2023
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1
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186
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October 6, 2023
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Solutions for R4DS, 2e with Data Trail
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1
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502
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October 1, 2023
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Do more with R and Python in Posit Cloud
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3
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182
|
September 30, 2023
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New datasets and better docs in {gt} 0.9.0
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1
|
105
|
September 24, 2023
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Standardizing access & ensuring consistent data in data products (using FastAPI and Posit Team)
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1
|
141
|
September 24, 2023
|
Empowering R and Python Developers: Databricks and Posit Announce New Integrations
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1
|
282
|
September 18, 2023
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Q2 2023 tidymodels digest
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1
|
225
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September 17, 2023
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