Ready to start building with Bigdata.com? This page will guide you through all the essential steps to set up your local environment, so you can hit the ground running with your projects.

Here’s what you’ll accomplish on this page:

✅ Create a python virtual environment
✅ Install the Bigdata.com SDK bigdata-client
✅ Initialise environment variables

Let’s get your workspace ready for success!

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Create a python virtual environment

Open the terminal and create a virtual environment with the following command:

python3 -m venv bigdata_venv

Activate the virtual environment, every time you want to use it:

source ./bigdata_venv/bin/activate

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Install the Bigdata.com SDK [bigdata-client]

Let’s install bigdata-client within the environment bigdata_venv.

pip install bigdata-client

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Initialise environment variables

Specify your Bigdata.com credentials either with a .env file or by exporting the environment variables.

# Bigdata credentials
BIGDATA_USERNAME="<YOUR_USERNAME>"
BIGDATA_PASSWORD="<YOUR_PASSWORD>"

# Maximum number of parallel threads (optional) 10 by default
BIGDATA_MAX_PARALLEL_REQUESTS=50

# Bigdata credentials
BIGDATA_USERNAME="<YOUR_USERNAME>"
BIGDATA_PASSWORD="<YOUR_PASSWORD>"

# Maximum number of parallel threads (optional) 10 by default
BIGDATA_MAX_PARALLEL_REQUESTS=50

export BIGDATA_USERNAME=<YOUR_USERNAME>
export BIGDATA_PASSWORD=<YOUR_PASSWORD>

export BIGDATA_MAX_PARALLEL_REQUESTS=50