diff --git a/001-lab-setup.md b/001-lab-setup.md index 9bd5403..2b1657f 100644 --- a/001-lab-setup.md +++ b/001-lab-setup.md @@ -84,11 +84,11 @@ Once the installation complete, you can launch the R Studio and start coding in This installation is completely optional. In a regular Azure ML solution development, you will not need local R tools or the Python tools. All features you will need are included in Azure ML Studio. With these installations we will be doing some of the experiments locally for comparison reasons and also to show widely used tools in the community. Anaconda is a completely free and open source Python distribution including the Python 2.7 and 3.5 bases. -1. Browse to https://www.continuum.io/downloads -2. Install Anaconda Python 2.7 by selecting the appropriate OS environment. +1. Browse to https://www.anaconda.com/distribution/ +2. Install Anaconda Python 2.7 or 3.7 by selecting the appropriate OS environment. Once the installation completed you can start developing Python code through Spyder or command prompt. ![](./imgs/1.5.i001.png) ## 1.6. Install Microsoft Excel -In the upcoming lab sessions, for generating synthetic data, we will be using Microsoft Excel application because of its simplicity and quick visualization capabilities. In case you want to play on the synthetic data, modify it or develop your own algorithms to produce raw data it is higly recommended to install Microsoft Excel or similar tool. You can download and install one month free trial version of the product from [https://products.office.com/en-us/try](https://products.office.com/en-us/try) \ No newline at end of file +In the upcoming lab sessions, for generating synthetic data, we will be using Microsoft Excel application because of its simplicity and quick visualization capabilities. In case you want to play on the synthetic data, modify it or develop your own algorithms to produce raw data it is higly recommended to install Microsoft Excel or similar tool. You can download and install one month free trial version of the product from [https://products.office.com/en-us/try](https://products.office.com/en-us/try)