Data Cleaning and Exploration with Machine Learning: http://
amzn.to/3SYyj9Z v/ @PacktDataML +
The book's GitHub code repository: https://
github.com/PacktPublishin
g/Data-Cleaning-and-Exploration-with-Machine-Learning
…
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#DataLiteracy #DataStrategy #Analytics #DataScience #MachineLearning #AI #ML #DataPrep #DataWrangling #DataScientist
SOFTWARE
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Data Cleaning and Exploration with Machine Learning Book Release
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GitHub Rails Architecture Despite React Implementation
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GitHub still uses Rails under the hood so I don't think the React work has saved them much on that front
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Building New Canvas Feature with Mobile Limitations
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we're building something new for it, but rn mobile doesn't support canvas
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GitHub’s React Rewrite: Performance Trade-offs Spark Developer Concern
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I'm sad that the "let's rewrite GitHub in React" lobby finally won out, it used to be SO performant
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Autonomous webapp builder: Nano Banana + GPT-5 notebook
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Would people want a notebook that wires together Nano Banana + GPT-5 Thinking to code up webapps autonomously with ACTUAL design taste?
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Unifying Operational and Analytical Data for Real-time Insights
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In this demo, Holly Smith shows how to unify operational and analytical data to power fast, scalable apps — combining PostgreSQL, Delta tables, and synced Unity Catalog tables for seamless, real-time insights. See how Lakebase handles thousands of transactions per second with
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Financial Times features perils of vibe coding interview
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I was interviewed in the Financial Times about "the perils of vibe coding", and it made it into the print edition!
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Lakebase Enables Transactional Data Layer for Databricks Apps
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Building apps on Databricks just got a lot easier! 🏗️ Learn how Lakebase can serve as the transactional data layer for Databricks Apps.
— Databricks (@databricks) 29 août 2025
– Unified stack: Build apps on top of data in your lakehouse with Databricks Apps + Lakebase
– Secure & serverless: Native auth, governance,… pic.twitter.com/qQmtkVpJfRBuilding apps on Databricks just got a lot easier! Learn how Lakebase can serve as the transactional data layer for Databricks Apps. – Unified stack: Build apps on top of data in your lakehouse with Databricks Apps + Lakebase
– Secure & serverless: Native auth, governance,