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Merge pull request #205831 from jesscioffi/main
Update release notes
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articles/machine-learning/data-science-virtual-machine/release-notes.md

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See the [list of known issues](reference-known-issues.md) to learn about known bugs and workarounds.
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## July 28, 2022
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[Data Science VM – Ubuntu 20.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2004?tab=Overview)
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Version `22.07.19`
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Main changes:
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- Updated `Azure Cli` to version `2.38.0`
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- Updated `Nodejs` to version `v16.16.0`
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- Updated `Scala` to version `2.12.15`
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- Updated `Spark` to version `3.2.2`
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- `MMLSpark` notebook features `v0.10.0`
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- 4 additional R libraries: [janitor](https://cran.r-project.org/web/packages/janitor/index.html), [skimr](https://cran.r-project.org/web/packages/skimr/index.html#:~:text=CRAN%20-%20Package%20skimr%20skimr:%20Compact%20and%20Flexible%2cby%20the%20user%20as%20can%20the%20default%20formatting.), [palmerpenguins](https://cran.r-project.org/web/packages/palmerpenguins/index.html) and [doParallel](https://cran.r-project.org/web/packages/doParallel/index.html)
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- Added new AzureML Environment `azureml_310_sdkv2`
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[Data Science Virtual Machine - Windows 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019?tab=Overview)
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Version `22.07.18`
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Main Changes:
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- General OS level updates
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## July 11, 2022
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[Data Science VM – Ubuntu 18.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804?tab=overview) and [Data Science VM – Ubuntu 20.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2004?tab=Overview)
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Main changes:
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- `Plotly` and `summarytools` R studio extensions runtime import fix.
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- `Cudatoolkit` and `CUDNN` upgraded to 13.1 and 2.8.1 respectively.
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- Fix Python 3.8 - AzureML notebook run, pinned `matplotlib` to 3.2.1 and cycler to 0.11.0 packages in `Azureml_py38` environment.
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- `Cudatoolkit` and `CUDNN` upgraded to `13.1` and `2.8.1` respectively.
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- Fix `Python 3.8` - AzureML notebook run, pinned `matplotlib` to `3.2.1` and `cycler` to `0.11.0` packages in `Azureml_py38` environment.
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## April 26, 2022
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[Data Science Virtual Machine - Windows 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019?tab=Overview)
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Main changes:
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- `Plotly` R studio extension patch.
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- Update `Rscript` env path to support latest R studio version 4.1.3.
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- Update `Rscript` env path to support latest R studio version `4.1.3`.
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## April 14, 2022
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New DSVM offering for [Data Science VM – Ubuntu 20.04](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-2004?tab=Overview) is currently live in the marketplace.
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- Updated R environment - added libraries: Cluster, Devtools Factoextra, GlueHere, Ottr, Paletteer, Patchwork, Plotly, Rmd2jupyter, Scales, Statip, Summarytools, Tidyverse, Tidymodels and Testthat
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- Further `Log4j` vulnerability mitigation - although not used, we moved all `log4j` to version v2, we have removed old log4j jars1.0 and moved log4j version 2.0 jars.
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- Azure CLI to version 2.33.1
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- Fixed jupyterhub access issue using public ip address
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- Updated R environment - added libraries: `Cluster`, `Devtools Factoextra`, `GlueHere`, `Ottr`, `Paletteer`, `Patchwork`, `Plotly`, `Rmd2jupyter`, `Scales`, `Statip`, `Summarytools`, `Tidyverse`, `Tidymodels` and `Testthat`
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- Further `Log4j` vulnerability mitigation - although not used, we moved all `log4j` to version `v2`, we have removed old `log4j jars1.0` and moved `log4j` version 2.0 jars.
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- `Azure CLI` to version `2.33.1`
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- Fixed `jupyterhub` access issue using public ip address
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- Redesign of Conda environments - we're continuing with alignment and refining the Conda environments so we created:
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- `azureml_py38`: environment based on Python 3.8 with preinstalled [AzureML SDK](/python/api/overview/azure/ml/?view=azure-ml-py&preserve-view=true) containing also [AutoML](../concept-automated-ml.md) environment
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- `azureml_py38_PT_TF`: additional azureml_py38 environment, preinstalled with latest TensorFlow and PyTorch
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- `py38_default`: default system environment based on Python 3.8
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- `azureml_py38_PT_TF`: additional `azureml_py38` environment, preinstalled with latest `TensorFlow` and `PyTorch`
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- `py38_default`: default system environment based on `Python 3.8`
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- We have removed `azureml_py36_tensorflow`, `azureml_py36_pytorch`, `py38_tensorflow` and `py38_pytorch` environments.
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