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Which color scale to use when visualizing data
This is part 1 of a series on “Which color scale to use when visualizing data” (Part …
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 4,225 posts.
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Scientists make huge dataset of nearby stars available to public
Members of the public can search a newly released database of 1,600 stars to find signs of undiscovered exoplanets. The dataset, taken over two decades by the W.M. Keck Observatory in Hawaii, comes with an open-source software package and an online tutorial.
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PlanetScale Offering $5 Databases
Introducing the $5 PlanetScale plan.
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Fabrice Bellard's TS Zip (2024)
Results and speed for other programs on enwik8 and enwik9 are available at the Large Text Compression Benchmark .
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Useful Python decorators for data scientists
I show toy implementations of Python decorator patterns that may be useful for Data Scientists.
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Predicting Stock Performance with Natural Language Deep Learning
We developed an NLP deep learning model using a one-dimensional convolutional neural network to predict future stock market performance of companies using Azure ML Workbench and Keras with open source for you to replicate.
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GitLab is working on a tool just for data teams
Meltano is an open source tool for the entire data science lifecycle, and we want your contributions and feature requests!
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Multi-tenant queues in Postgres
How we implemented fair queueing strategies for Postgres-backed task queues to ensure fair execution time across tenants.
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AWS, Azure, and GCP respond to cloud report
Key learnings about how to get the best performance from GCP, AWS, and Azure based on original research and conversations with the big three.
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Damn Cool Algorithms: Cardinality Estimation
Posted by Nick Johnson | Filed under python , cardinality-estimation , damn-cool-algorithms
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When did Postgres become cool?
Craig takes a look at the history of Postgres. From the origins of the project through some of the key production features that make Postgres what it is today.
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ORM is an anti-pattern
ORM looks great early in a project but breaks down as complexity grows, forcing you to learn SQL anyway. Relations aren't objects. Either use NoSQL for object-like data or write a model layer with real SQL. ORM's abstraction is leaky, its efficiency poor, and the alternatives are better.
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There are very few suitable use cases for DynamoDB
Edit: This article is firmly out of date now. I have not gone back to try dynamoDB but I have heard they have changed how throughput is…
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Every database will become a vector database sooner or later
Why every database will become a vector database, sooner or later
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Things that surprised me while running SQLite in production
I've been using SQLite in several production projects for six months, and I've encountered some surprising aspects.
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Postgres transactions are a distributed systems superpower
Keeping workflow state and application data in the same Postgres database lets one transaction update both, simplifying idempotency and atomicity.
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Turning the database inside-out with Apache Samza
Confluent is building the foundational platform for data in motion so any organization can innovate and win in a digital-first world.
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JSON and Virtual Columns in SQLite
Faster JSON handling in a relational database.
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Practical advice for analysis of large, complex data sets
By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusin...
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Guide to Making 3D Maps with Satellite Imagery in R
E ver since I released rayshader to the public, there’s been one question that comes up time and time again: “How do I use rayshader to overlay satellite imagery onto a 3D surface?” And I can see why: 3D maps with real satellite images are super cool, and there are few detailed tutorials out there on how it’s done in…
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Excel will allow certain auto data conversions to be turned off
Based on your feedback, we've improved the Automatic Data Conversion settings, and made them also available in Excel for Mac.
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What happens if we remove 50 percent of Llama?
Discover Sparse Llama: A 50% pruned, GPU-optimized Llama 3.1 model with 2:4 sparsity, enabling faster, cost-effective inference without sacrificing accuracy.
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Jepsen: MongoDB 3.6.4
MongoDB is a long-time user of Jepsen . Over the past three years, Jepsen has performed several analyses for MongoDB, and MongoDB has integrated an expansive Jepsen test suite into their CI system. In March, MongoDB requested Jepsen perform an analysis on a previously untested configuration: sharded clusters. We also…
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Caching Beyond RAM: The Case for NVMe
memcached
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Call me maybe: RabbitMQ
RabbitMQ is a distributed message queue, and is probably the most popular open-source implementation of the AMQP messaging protocol. It supports a wealth of durability, routing, and fanout strategies, and combines excellent documentation with well-designed protocol extensions. I’d like to set all these wonderful…
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Which table format do LLMs understand best?
We benchmarked 11 data formats, including markdown tables, JSON, CSV, YAML, XML, and more, to see which LLMs understand best. We found surprising accuracy and token cost trade-offs.