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Query Anyblock ElasticSearch Blockchain Data API with Python

Query Anyblock ElasticSearch Blockchain Data API with Python

In this tutorial, you will learn how to use Python to query the Anyblock ElasticSearch blockchain data API. First you will learn to initiate your ElasticSearch Python client. Then we will show you different queries to retrieve data from the Anyblock Index and how to work with Pandas Dataframes to analyze Ethereum Blockchain data. It is obviously possible to do all the query experiments in Python, but we recommend you to test your queries with cURL, or in Postman, and then copy those over to your Python code.

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How to do Blockchain Data Science with Metabase using a real world example

How to do Blockchain Data Science with Metabase using a real world example

Here at Anyblock Analytics, we choose Metabase as our primary blockchain visualization tool because it enables business users to answer their questions themselves, because of the simple Metabase point and click editor so that no SQL query language needs to be used (but it can). Read more on the process and a real-life example with many blockchain analytics screenshots.

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Analyse Ethereum Transaction Structures with Google BigQuery

Analyse Ethereum Transaction Structures with Google BigQuery

You can use Google BigQuery, if you want to have general insights about Ethereum transactions and traces without running your own (archive) node. As soon you need to dig deeper into the world of Ethereum data, you need to do extra work. Decode the data, structure and store it, before you can start with your actual data science work.

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Query Ethereum with SQL

Query Ethereum with SQL

You can now easily query the Ethereum blockchain using our Anyblock SQL database. Down to the smart contract event level, already enriched and decoded into human-readable text, and updated in real-time with the latest blocks from the Ethereum Mainnet and 22+ other blockchain networks.

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