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A year after Google’s launch of Polymer, Toptal engineer Alejandro Hernandez takes it out for a test drive to see if it’s yet ready for prime time. This post explores the maturity and stability of Polymer.js as a foundation for large-scale application development. The results and conclusions from this analysis are provided, along with an introductory overview of the technology.

Python’s simple, easy-to-learn syntax can mislead Python developers – especially those who are newer to the language – into missing some of its subtleties and underestimating the power of the language.

In this article, Toptal’s Martin Chikilian presents a “top 10” list of somewhat subtle, harder-to-catch mistakes that can trip up even the most advanced Python developer.

JavaScript is much more nuanced than most developers initially realize. Even for those with more experience, some of JavaScript’s most salient features continue to be misunderstood and lead to confusion. One such feature, described in this article, is the way that property and variable lookups are performed and the resulting performance ramifications to be aware of.

C# is a powerful and flexible language with many mechanisms and paradigms that can greatly improve productivity. Having a limited understanding or appreciation of its capabilities, though, can leave one in the proverbial state of “knowing enough to be dangerous”. This article describes 10 of the most common programming mistakes made, or pitfalls to be avoided, by C# programmers.

Once you step beyond the comfortable confines of English-only character sets, you quickly find yourself entangled in the wonderfully wacky world of UTF-8.

Indeed, navigating through UTF-8 related issues can be a frustrating and hair-pulling experience. This post provides a concise cookbook for addressing these issues when working with PHP and MySQL in particular, based on practical experience and lessons learned.

This post explores some of the more common types of GPS tracking errors to expect with low-end GPS devices, providing an understanding of what causes them as well as some approaches for correcting them. The techniques outlined can provide users of low-end GPS devices with a reasonable level of automated improvement of the accuracy of their GPS tracks.

I often hear iOS developers ask some variant of the same key question: “What’s the best way to develop a UI in iOS: through Storyboards, NIBs, or code?”

Answers to this question, explicitly or implicitly, tend to assume that there’s a mutually exclusive choice to be made, one that is often addressed upfront, before development.

I’m of the opinion that there’s no single choice to be made. Rather, each option has its strengths and weaknesses—and there’s no need to use any one of them in isolation.

Go is a relatively new language with a number of attractive features. It’s great for writing concurrent programs, thanks to an excellent set of low-level features for handling concurrency. In many cases, though, a handful of reusable abstractions over those low-level mechanisms makes life much easier. This introductory tutorial walks you through building one such abstraction: a wrapper that can turn any data structure into a transactional service in Go.

The recent resurgence in Artificial Intelligence has been powered in no small part by a new trend in machine learning, known as “Deep Learning”. In this article, I’ll introduce you to the key concepts and algorithms behind Deep Learning, beginning with the simplest building block.

I love and use Django in lots of my personal and client projects, mostly for those involving relational databases and more classical web applications. However, by design, Django is very tightly coupled with its ORM, Template Engine System, and Settings object. Plus, it’s not a new project: it carries a lot of baggage from the past to remain backwards compatible.

In a few of my client projects, we’ve chosen to give up on Django and use a micro framework like Flask, typically when the client wants to do some interesting stuff with the framework. At the same time, we often need user registration, login, and more, all of which is easily handled with Django.

The question emerged: is Django an all-or-nothing deal? Should we drop it completely from the project, or is there a way to combine some it with the flexibility of other frameworks?

Writing concurrent programs is hard. Having to deal with threads, locks, race conditions, and so on is highly error-prone and can lead to code that is difficult to read, test, and maintain. This post provides an introductory guide to the Scala-based Akka framework, showing (with code samples) how Akka facilitates and simplifies the implementation of robust, concurrent, fault-tolerant applications.