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AI, ML & Data Engineering

Efficient Resource Management with Small Language Models (SLMs) in Edge Computing

Small Language Models (SLMs) bring AI inference to the edge without overwhelming the resource-constrained devices. In this article, author Suruchi Shah dives into how SLMs can be used in edge computing applications for learning and adapting to patterns in real-time, reducing the computational burden and making edge devices smarter.

Suruchi Shah
on Nov 11, 2024
Architecture & Design

Designing Secure Tenant Isolation in Python for Serverless Apps

Software as a Service (SaaS) has become a very common way to deliver software today. While providing the benefits of easy access to users without the overhead of having to manage the operations themselves, this flips the paradigm and places the responsibility on software providers for maintaining ironclad SLAs, as well as all of the security and data privacy requirements.

Avichay Attlan
on Apr 20, 2022
AI, ML & Data Engineering

How to Build Interactive Data Visualizations for Python with Bokeh

In this article, the author shows how to use one of the powerful Python tools Bokeh in creating data visualizations with custom charts.

Michael Garbade
on Feb 23, 2021
Development

Programming Languages InfoQ Trends Report - October 2019

This article provides a summary of how the InfoQ editorial team currently sees the adoption of technology and emerging trends within the programming language space, as of Q3, 2019.

Abel Avram Arthur Casals Dylan Schiemann Charles Humble Werner Schuster Dustin Schultz Ben Evans Jonathan Allen
on Oct 01, 2019
Architecture & Design

How BuzzFeed Migrated from a Perl Monolith to Go and Python Microservices

Starting in 2016 BuzzFeed began a re-architecture project moving from a single monolithic application written in Perl to a set of microservices. The main reason for the move was that the Perl application was proving hard to scale, essential given that buzzfeed.com alone serves about 7 billion page views/month.

Charles Humble
on Jun 22, 2018
DevOps

Monitoring SRE's Golden Signals

Golden signals are increasingly popular these days due to the rise of SRE. This article outlines what golden signals are, and how to monitor and use them in the context of various common services.

Steve Mushero
on Apr 27, 2018
Web Development

Transcrypt: Anatomy of a Python to JavaScript Compiler

On the web front end, web development is one size fits all: JavaScript. The Transcrypt Python to JavaScript compiler is a relatively new open source project, aiming at executing Python 3.6 at JavaScript speed, with comparable file sizes. In this article, Jacques de Hooge talks about the requirements in building a transpiler and how Transcrypt is built to meet those demands.

Jacques de Hooge
on Mar 08, 2017
AI, ML & Data Engineering

Article Series: An Introduction to Machine Learning for Software Developers

Get an introduction to some powerful but generally applicable techniques in machine learning for software developers. These include deep learning but also more traditional methods that are often all the modern business needs. After reading the articles in the series, you should have the knowledge necessary to embark on concrete machine learning experiments in a variety of areas on your own.

Michael Manapat
on Feb 27, 2017
AI, ML & Data Engineering

Introduction to Machine Learning with Python

This series will explore various topics and techniques in machine learning, arguably the most talked-about area of technology and computer science over the past several years. We’ll begin, in this article, with an extended “case study” in Python: how can we build a machine learning model to detect credit card fraud?

Michael Manapat
on Jan 28, 2017
AI, ML & Data Engineering

Article Series: Getting a Handle on Data Science as a Software Developer

Software developers and managers are realizing that they need data science among their skills, to be able to tackle pressing problems. In this series, field experts provide guidance to help us navigate among the available data analysis options. They explore ways of understanding where data science is needed and where it’s not, and how to turn it into an asset.

Francine Bennett
on Dec 05, 2016
AI, ML & Data Engineering

Getting Started with Machine Learning

A quick introduction to the machine learning field, exploring both supervised and unsupervised approaches.

Rafael Fernandes
on Nov 19, 2016
Development

Pack Up the Wagon, We're Going Offline

Enterprise customers often have specific requirements and restrictions. Sometimes, an internet connection isn't always available, so traditional package management techniques don't work. Nir Cohen describes Wagon, which takes Python wheels, packages them together, adds metadata, and allows for offline extraction and installation.

Nir Cohen
on Jan 28, 2016