The latest blog posts to take off on Hacker News. 1,888 posts.
Designing far memory data structures: think outside the box Aguilera et al., HotOS’19 Last time out we looked at some of the trade-offs between RInKs and LInKs, and the advantages of local in…
In a previous post, I showed how Kafka can be used as the persistent storage for an embedded key-value store, called KCache. Once you have a key-value store, it can be used as the basis for other m…
Lambdaclass's blog about distributed systems, machine learning, compilers, operating systems, security and cryptography.
While Full-text-search is famous for search through documents at a faster rate, there are other interesting ways in which these systems handle scale, synonyms, abbreviations, misspellings etc., we will
Visualization has always been challenging task but with the advent of dataframe plot() function it is quite easy to create decent looking plots with your dataframe, The **plot** method on Series and DataFrame is just a simple wrapper around Matplotlib plt.plot() and you really don’t have to write those long matplotlib…
Not bad just backwards
(Editor's note: This post is cross-posted on Fauna's blog, where Daniel Abadi serves as an adviser . Fauna is is a serverless, cloud data...
To speed-up memory operations and reduce fragmentation Python uses a special manager on top of the general-purpose allocator, called PyMalloc.
What a great book Designing Data-Intensive Applications is! It covers databases and distributed systems in clear language, great detail and without any fluff. I particularly like that the author Ma…
At Google, our organization designs, owns, and maintains a number of optimization models that automate the planning of Google’s datacenter growth and health. As is pretty standard in supply chain optimization and planning, these models are often integer linear programs. It’s a core competency of operations research…
You're probably reading this page because you've attempted to access some part of my blog (Wandering Thoughts) or CSpace , the wiki thing it's part of. Unfortunately you're using a browser version that my anti-crawler precautions consider suspicious, most often because it's too old (most often this applies to versions…
Software engineer specializing in query engines and distributed systems
From two minutes to less than half a second!
I’m a huge proponent of designing your code around the data, rather than the other way around, and I think it’s one of the reasons git has been fairly successful… I will, in fact, claim that the difference between a bad programmer and a good one is whether he considers his code or his data structures more important…
Machine learning is part of our products, processes, and research. But computers usually don’t explain their predictions , which can cause many problems, ranging from trust issues to undetected bugs. This book is about making machine learning models and their decisions interpretable.
Discussions: Hacker News (366 points, 21 comments), Reddit r/MachineLearning (256 points, 18 comments) Translations: Chinese 1, Chinese 2, Japanese, Korean The NumPy package is the workhorse of data analysis, machine learning, and scientific computing in the python ecosystem. It vastly simplifies manipulating and…
Using ARIMA model, you can forecast a time series using the series past values. In this post, we build an optimal ARIMA model from scratch and extend it to Seasonal ARIMA (SARIMA) and SARIMAX models. You will also see how to build autoarima models in python
The modern relevancy of every line of 'We Didn't Start the Fire'
In this article I share the results of a home-lab experiment in which I threw some different problems at ZFS, Btrfs and mdadm+dm-integrity in a RAID-5 setup.
