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1. Install Python 2.7. For current Debian-based Linux distributions (such as Ubuntu), BSD and Mac Python 2.7 is usually installed. However Redhat-based Linux distributions, such as RHEL and CentOS, are sometimes behind the curve and do not have Python 2.7. As of this writing, CentOS 6.4 is at Python 2.6, which is well on its way to EOL. Python 2.6 may work, but code will be written with 2.7 and 3.3+ in mind. Below are instructions for Ubuntu Linux 13.04+.

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   sudo apt-get install python2.7 python2.7-dev python-virtualenv

2. Install PIP

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   .

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   sudo apt-get install python-pip

3. Install virtualenv.

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   sudo

   sudo apt-get install python-virtualenv

4. Install Git

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   .

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   sudo apt-get install git

5. Install the prerequisites for MySQL-Python

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   .

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   sudo apt-get install build-essential python-dev libmysqlclient-dev

Create Storage Containers

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1. Install azure-cli

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   .

   In Ubuntu it can be installed using the following command:

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   sudo apt-get install nodejs-legacy sudo apt-get install npm sudo npm install -g azure-cli

   To login run the following command:

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   azure login

   Copy the code offered to you, above, and open a browser to http://aka.ms/devicelogin

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   . Enter the code, and then you are prompted to enter the username and password for the identity you want to use. When that process completes, the command shell completes the log in process.

2. From command line azure sb namespace create <name> <location> where <location> can be "East US"

3. Log on to the Azure Portal

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   .
4. In the left pane, click Service Bus.
5. Select the service bus you just created.
6. At the top of the screen click Queues.
7. Click Create a new queue.
8. Click Quick Create and create a new queue named "compute".
9. Click Create A New Queue.
10. At the bottom of the screen, click New, and create another queue named "response".
11. In the left pane, click Service Bus.
12. At the bottom of the page, click Connection Information.
13. Copy the following connection information:
    • Namespace name
    • Default issuer
    • Default key

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1. Make sure you have the dependencies (Python 2.7 and virtualenv). If you're running Ubuntu:

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   sudo apt-get install python2.7 python2.7-dev python-virtualenv

2. Clone the CodaLab repository:

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   git clone https://github.com/codalab/codalab-cli cd codalab-cli

3. Run the setup script (will install things into a Python virtual environment):

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   ./setup.sh

4. Set your path to include CodaLab (add this line to your .bashrc):

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   export PATH=$PATH:<path to codalab-cli>/codalab/bin

5. Optional: include some handy macros (add this line to your .bashrc):

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   . <path to codalab-cli>/rc

Install CodaLab

1. Fork

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   the CodaLab repo

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   from GitHub.

2. Clone your fork:

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   git clone https://github.com/<username>/codalab.git

For more details and recommended practices, see Developer Guidelines

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1. Run the dev_setup script.

   Windows

    

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   cd codalab .\dev_setup.bat

   If you are going to use SQL Server as a database, you will need to install the Python PyODBC library

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   . Before running dev_setup, you can download the installer, then run the setup script as follows (assuming the installer was downloaded at the root of a D drive):

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   cd codalab dev_setup.bat D:\pyodbc-3.0.7.win-amd64-py2.7.exe

   Linux

    

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   cd codalab source ./dev_setup.sh

2. Activate the virtual environment.

   Windows

         venv\Scripts\activate
   
       

   Linux

         source venv/bin/activate
   

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