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dev.md

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@@ -49,15 +49,18 @@ According to this [tutorial](https://www.techrepublic.com/article/how-to-import-
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To run SQLFlow on a desktop computer running Windows, Linux, or macOS, you need to download
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1. the [sqlflow](https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/run/cli.md) command-line tool released by SQLFlow CI, and
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1. the released `SQLFlowPlayground.ova`, download [here](http://cdn.sqlflow.tech/latest/SQLFlowPlayground.ova).
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1. the released `SQLFlowPlayground.ova`, directly download from [here](http://cdn.sqlflow.tech/latest/SQLFlowPlayground.ova), or use wget:
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```bash
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wget -c http://cdn.sqlflow.tech/latest/SQLFlowPlayground.ova
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```
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1. optional, the [sqlflow](https://github.com/sql-machine-learning/sqlflow/blob/develop/doc/run/cli.md) command-line tool released by SQLFlow CI.
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If you have VirtualBox installed, you can import the `SQLFlowPlayground.ova` file and start a VM. After that, you can log in the system through the VirtualBox GUI or through a ssh connection like below. The default password of `root` is `vagrant`.
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```bash
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[email protected]'s password: vagrant
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```
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Once logged in the VM, you will immediately see a script named `start.bash`, just run the script to start SQLFlow playground. It will output some hint messages for you, follow those hints, after a while, you will see something like `Access Jupyter NoteBook at: http://127.0.0.1:8888/...`, it means we are all set. Enjoy it!
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Once logged in the VM, you will immediately see a script named `start.bash`, just run the script to start SQLFlow playground. It will output some hint messages for you, follow those hints, after a while, you will see something like `Access Jupyter NoteBook at: http://127.0.0.1:8888/...`, it means we are all set. Copy the link to your web browser and you will see SQLFlow's Jupyter Notebook user interface, Enjoy it!
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```bash
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./start.bash
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```

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