Skip to main content

Python package for Namada

Project description

Python package for Namada

A package for Namada.

Install

pip install namada

How to use

After installing the package use following import:

from namada import Namada
client = Namada()

Blocks:

from namada import Namada
client = Namada()
client.get_latest_block()
client.get_block_height(height)
client.get_block_height_transactions(height)
client.get_block_height_signatures(height)
client.get_block_list_records(records)
client.get_block_list_records_to_block(records, to_block)

Transactions:

from namada import Namada
client = Namada()
client.get_latest_tx()
client.get_tx_hash(tx_hash)
client.get_tx_list_records(records)
client.get_tx_list_records_to_block(records, to_block)

Validators:

from namada import Namada
client = Namada()
client.get_validator_list()
client.get_validator_address(address)
client.get_validator_latest_block(address)
client.get_validator_latest_signatures(address)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

namada-1.0.13.tar.gz (4.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

namada-1.0.13-py3-none-any.whl (4.7 kB view details)

Uploaded Python 3

File details

Details for the file namada-1.0.13.tar.gz.

File metadata

  • Download URL: namada-1.0.13.tar.gz
  • Upload date:
  • Size: 4.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.11

File hashes

Hashes for namada-1.0.13.tar.gz
Algorithm Hash digest
SHA256 3de4997a07aa829f9beda3f57cb9b5101864cd1a5fce2502ad8c2f4d7e636bed
MD5 8fb8d6edbe1cc32b79cc97f662c4cf5d
BLAKE2b-256 249e26d8fe993e8821ce19fae7d48a81379919eb5d4d05d617063174caf55c77

See more details on using hashes here.

File details

Details for the file namada-1.0.13-py3-none-any.whl.

File metadata

  • Download URL: namada-1.0.13-py3-none-any.whl
  • Upload date:
  • Size: 4.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.11

File hashes

Hashes for namada-1.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 928ba68ba14bd5042768b87abd2d6a8843a09389ba7a2419fc2c10006dafe4f9
MD5 0c9a20e8f6f035fec578fd074b2ab033
BLAKE2b-256 848322c3ca522d0a14d2e59d152b260f6b36892866975d16e62a099c60b7cf8c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page