gigasheet 2.3.0

Gigasheet Python SDK

gigasheet-python

Installation

The Gigasheet API wrapper is built for Python 3 and may not work with earlier versions of Python.

Recommended installation

To run the examples, clone this repository and then run the following steps from the root of the cloned repository:

1. Create a venv (optional, but recommended)

python -m venv venv
source ./venv/bin/activate

2. Install Gigasheet

• To install from PyPI, you can simply run: pip install gigasheet.

3. Run an example. See the Authentication section for setting your key. After that, try running some examples in the example folder.

python examples/check_setup.py

Alternate installation as standalone

Because the Gigasheet API wrapper is currently only a single file, you can also download gigasheet.py from the gigasheet folder of this repository and place that file in the same directory as your own script. You can then import gigasheet with the line import gigasheet. However, this is not recommended as it is more brittle. It is preferred to use the setup steps described above instead.

Authentication

Set the environment variable GIGASHEET_API_KEY to be your Gigasheet API key to authenticate requests.

Contact [e-mail] for more information about how to obtain a Gigasheet API key.

Examples

Import file from S3 and share with a colleague

You can use the example command-line tool examples/import_and_share_cli.py to import a file from S3 and share it to a colleague.

First, use the AWS console or an AWS SDK to obtain a pre-signed link for the file you want to import. Then, use the command-line tool like this:

python examples/upload_and_share_cli.py --input-url <the s3 presigned link> --share-to <email of colleague> --share-write

Run python examples/upload_and_share_cli.py --help to see more options like setting a file name or a share message.

Alternatively, if you already have AWS credentials on your machine, you could look at the simplified example script:

python examples/upload_from_s3.py

Export from Gigasheet to a local file

You can use this example script to get an S3 presigned URL of an export and to save it to your local disk:

python examples/download_export.py

API endpoint documentation

https://gigasheet.readme.io/

License

This project is licensed under the terms of the MIT license.

Contact

Visit us at https://gigasheet.com for more about our product.

Contact [e-mail] for more information or for help getting an API key.