This article explores webpack, focusing on ways to investigate the build-time performance of webpack for your React apps. First, we cover the items that can affect build-time and runtime performance. Next, we’ll explore profiling tools for CPU and memory usage and how to use them. We’ll then delve into webpack bundles and how to analyze what’s in a bundle. Finally, we talk about setting goals.
There are three parts to a data pipeline for analytics: ingestion, processing/transformation, and interpretation. The data pipeline for large language models or any pre-trained model such as GPT-3.5 and GPT-4 has the following steps: ingestion, processing / transformation, and evaluation. Data pipelines are everywhere.
From 2014 to 2019, I wrote a newsletter called “Learning AngularJS”. I have collected the articles here as an archive of that newsletter. I also published a video course on testing AngularJS code in 2015.
Reactive programming is a concept that is finally gaining some popularity among programmers. It makes it easier to think in data flows and to manage and work with them. Instead of imperative programming, you’re thinking about code as a series of processes that take place on streams. This is similar to the conceptual shift to map/reduce thinking. But it takes those ideas further. You’re doing a map/reduce and then connecting the data to other filters and maps and creating multiple pipelines so that the right data gets to the right place.
There comes a time in the life of every Ruby on Rails project where you and your team will end up with long-running tests. Rails tests can contain factories, fixtures, and numerous setup procedures before tests are executed, and all of these can contribute to significant slowness in the test runs. There are four ways to deal with slow-running tests in Rails.
The best reason to use GraphQL is if you have multiple frontend clients that communicate with your backend, and they each have differing data needs. For instance, if you have a mobile application and a website that communicate with the same backend API, they will need different data.
I was in Montreal, Canada for the PyCon Canada 2017 conference and presented on the ideas and philosophy that are present within the Python programming language. I covered how the Python language influences your coding style and how that coding style is now in the mainstream and has made its way into other programming languages.
JsonCpp is a good solid C++ library to work with. JsonCpp gives you the ability to open JSON configuration files.
The project was a software prototype for a restaurant ordering system. The goal was to design a user interface that allowed a customer in the restaurant to use their iPhone or some other smart phone to quickly order food. For this prototype, I used Squeak Smalltalk, the Seaside web framework, and the Magritte meta-description framework. As the database for this prototype, I used a class with only class methods. It used Dictionaries to store the data, just a plain key-store database.