Remove topics sqlalchemy
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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning Blog

For structured data, the agent uses the SQL Connector and SQLAlchemy to analyze databases, which includes Amazon Athena. We created the following purpose-built agent tools for our scenario: Stocks Querying Tool – To query S&P stocks data using Athena and SQLAlchemy. Python Calculation Tool – To use for mathematical calculations.

AWS 101
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How to Use Exploratory Notebooks [Best Practices]

The MLOps Blog

As I already mentioned, Jupyter notebooks are a polarising topic, so let’s go straight into my opinion. Executive summaries are always advisable as they’re perfect for stakeholders with a vague interest in the topic or limited time. Jupyter notebooks should be used for purely exploratory tasks or ad-hoc analysis ONLY.

SQL 52
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5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists

ODSC - Open Data Science

Thanks to libraries such as SQLAlchemy and RMySQL, SQL can be integrated with programming languages such as R and Python. These tools often provide pre-built connectors for many different databases and data sources and allow data scientists to write SQL queries to transform data as it moves between systems.

SQL 98