R And Python Support In VS 2017

Kevin Feasel

2017-05-16

Python, R

David Smith announces that Visual Studio 2017 now supports R Tools for Visual Studio and Python Tools for Visual Studio:

The new Visual Studio 2017 has built-in support for programming in R and Python. For older versions of Visual Studio, support for these languages has been available via the RTVS and PTVS add-ins, but the new Data Science Workloads in Visual Studio 2017 make them available without a separate add-in. Just choose the “Data Science and analytical applications” option during installation to install everything you need, including Microsoft R Client and the Anaconda Python distribution.

I’m personally going to wait a little bit before jumping onto Visual Studio 2017, but I’m glad that RTVS is now available.

Related Posts

Monte Carlo Simulation in Python

Kristian Larsen has a couple of posts on Monte Carlo style simulation in Python. First up is a post which covers how to generate data from different distributions: One method that is very useful for data scientist/data analysts in order to validate methods or data is Monte Carlo simulation. In this article, you learn how […]

Read More

Hyperparameter Tuning with MLflow

Joseph Bradley shows how you can perform hyperparameter tuning of an MLlib model with MLflow: Apache Spark MLlib users often tune hyperparameters using MLlib’s built-in tools CrossValidator and TrainValidationSplit.  These use grid search to try out a user-specified set of hyperparameter values; see the Spark docs on tuning for more info. Databricks Runtime 5.3 and 5.3 ML and above support […]

Read More

Categories