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Time splits from a visualization freelancer

FlowingData

With visualization work, a lot of your time is spent doing non-visualization things: As expected, at 16 percent, data wrangling and analysis takes a significant chunk of total time. Tags: Eli Holder , freelancing , time use , work. Eli Holder shows how he split his freelance time across various projects and categories.

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Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

Spacy: Another firm favorite, Spacy can be used for tokenization, part-of-speech tagging, and named entity recognition, aiding in structuring prompts accurately. Apache Spark: Enables distributed data processing and is essential for handling massive datasets and scaling projects efficiently.

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Using Snowflake Data as an Insurance Company

phData

Data Governance for Insurance Companies in Snowflake Dynamic data masking and object tagging are two significant features in Snowflake that complement a company’s data governance practice. Also today’s volume, variety, and velocity of data, only intensify the data-sharing issues.

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Containerization of Machine Learning Applications

Heartbeat

Next, let's proceed to build our Docker image using the tag (mutable reference name) shipping_app from this Dockerfile as follows: docker build -t shipping_app. ', port = port) Our flask app — app.py starts by creating a flask object representing our app and then sets the home route view to our home page at index.html.