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Analyzing Django requirement files on GitHub
Safety gives security teams real-time visibility and governance over every AI tool, package, MCP server, and IDE extension across their developer fleet.
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The latest blog posts to take off on Hacker News. 332 posts.
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Tuning Your DBMS Automatically with Machine Learning
This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Mellon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. Database management systems (DBMSs) are the most important component…
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Visualize data instantly with machine learning in Google Sheets
Today we’re rolling out new features in Sheets that make it even easier for you to visualize and share your data, and find insights your teams can act on.
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Python For Finance: Algorithmic Trading
Originally published at https://www.datacamp.com/community/tutorials/finance-python-trading
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Damn Cool Algorithms: Log structured storage (2009)
Typically, if you're designing a storage system - such as a filesystem, or a database - one of your major concerns is how to store the data on disk. You have to take care of allocating space for the objects to be stored, as well as storing the indexing data; you have to worry about what happens when you want to extend…
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Mosaic: processing a trillion-edge graph on a single machine
Mosaic: Processing a trillion-edge graph on a single machine Maass et al., EuroSys’17 Unless your graph is bigger than Facebook’s, you can process it on a single machine. With the incep…
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Improving Stack Overflow jobs search with machine learning and R
A journey into making Stack Overflow job search results relevant to you
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View Counting at Reddit
Get the latest product news, company announcements, and user insights from the official Reddit blog.
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Distributed Consensus – How Shared Data Is Stored
If you don’t work in computers, you probably haven’t spent much time thinking about how data gets stored on computers or in the cloud. I’m…
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How Powerful Are Microsoft Azure’s Free Jupyter Notebooks?
For a while now, Microsoft have provided a free Jupyter Notebook service on Microsoft Azure. At the moment they provide compute kernels for Python, R and F# providing up to 4Gb of memory per sessio…
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Postgres performance analysis resulted in a 10x improvement in CPU use
Heap is the only digital insights platform that shows everything users do on your site, revealing the "unknown unknowns" that stay invisible with other tools. Learn about how we improved our performance and saved millions!
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PostgreSQL 10 Beta 1 Released
The PostgreSQL Global Development Group announces today that the first beta release of PostgreSQL 10 is available for download. This …
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Cloud Spanner is now production-ready
Google Cloud migration partners offer their thoughts on database migrations to Cloud Spanner.
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The World’s Largest Street-Level Imagery Dataset for Teaching Machines to See
Mapillary Vistas, the world’s largest and most diverse publicly available, pixel-accurately and instance-specifically annotated street-level imagery dataset, will empower autonomous mobility and transport at the global scale.
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CockroachDB 1.0
Launching CockroachDB 1.0, a production-ready release with distributed SQL and multi-active availability in two tiers: CockroachDB Core and CockroachDB Self-hosted.
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Soma Water Filters Are Worthless
This experiment was inspired by a light-hearted argument with my wife, a stylish but atrocious water filter, and the explosion of start-ups attempting to turn everything you purchase into a subscription service.
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Storage engine design
In time-series databases the querying pattern differs from the write pattern. We usually write data in time order by updating many series every second. But querying is a different story. We usually want to read only a handful of series leaving most of the data behind. Here lies the biggest problem, which is we don’t…
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Same Stats, Different Graphs: Datasets with Varied Appearance and Identical Stats
Why graphical representation and visualization are so important to...
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Why Use Postgres?
Five years ago I wrote a post that got some good attention on why you should use Postgres. Almost a year later I added a bunch of things I missed. Many of those items bear repeating, and I’ll recap a few of those in the latter half of this post. But in the last 4-5 years there’s been a lot of improvements and more…
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Postgres tips for Rails developers
At RailsConf, the Citus engineering team found themselves sharing lots of useful Postgres tips on how to debug and improve the performance of your Postgres database from your Rails app. Includes topics like long-running queries, misbehaving queries, pg_stat_statements, pgBouncer, and more.
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Gender and verbs across 100K stories: a tidy analysis
Previously in this series
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