📅 Today’s Picks |
Create Dynamic Scatter Plots with Plotly Animation
Problem:
Static scatter plots can’t show how data clusters change and evolve over time.
Solution:
Plotly Express creates animated scatter plots that change over time in one line of code.
Key benefits:
- Simply add the animation_frame=”time_column” parameter to px.scatter to create an animated scatter plot
- Automatic smooth transitions between time periods
- Built-in playback controls for user interaction
- Works with any time-series dataset
CloudQuery: Move RAG Data with 18-Line YAML (Sponsored)
Problem:
RAG applications need data from various sources moved into vector stores. Manual API integration means writing boilerplate for rate limiting, pagination, and error handling instead of building AI.
Solution:
CloudQuery handles the entire data-to-embeddings pipeline with declarative YAML config and native pgvector support.
Key benefits:
- Pre-built connectors for AWS, GCP, Azure, and 100+ platforms
- Sync state persistence with incremental processing and automatic schema evolution
- Built-in PII removal, column obfuscation, and data cleaning for compliance
- Native pgvector support: text splitting, embeddings, semantic indexing for RAG
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☕️ Weekly Finds |
ShinkaEvolve
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An open-source framework that evolves programs for scientific discovery with unprecedented sample-efficiency
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AI-driven tool designed to streamline the creation of data visualizations