A simplified guide to gRPC in Python

Get rolling with gRPC in minutes

Moving machine learning from practice to production

With growing interest in neural networks and deep learning, individuals and
companies are claiming ever-increasing adoption rates of artificial intelligence into their daily workflows and product offerings.

How We Built Our 60-Node (Almost) Distributed Web Crawler

Web crawling is one of those tasks that is so easy in theory (well you visit some pages, figure out the outgoing links, figure out which haven’t been visited, queue them up, pop the queue, visit the page, repeat), but really hard…

Web Scraping in Perl using Mojo::DOM

Web scraping involves extracting data from websites and presenting it in a meaningful format…

Debugging Neural Networks: A Checklist

You’ve framed your problem, prepared your datasets, designed your models and revved up your GPUs. With bated breath, you start training your neural network, hoping to return in a few days to great results.

Understanding JavaScript Code Coverage

Part 1: Instrumentation

This is the first of a two-post series in which we try to understand how code coverage is measured and reported in JavaScript by building a simple code coverage tool ourselves. You can find the…

Partitioning in PostgreSQL

Rotating your API request logs table.

Here at Semantics3, among other things, we build APIs to enable easy access to a gargantuan Ecommerce product database. Right from the beginning, we have seen the need to store an audit log for…

A Perl toolchain for building micro-services at scale

But why?!

This is the question that we get asked immediately when we tell someone that we use Perl. Our extensive use of Perl to build many of our internal services often comes as a surprise to many and we…