Feature Versioning - Learn Data Science with Travis

Semantic Versioning

Better Programming

Demystifying SemVer and avoiding “dependency hell” Continue reading on Better Programming

Use semantic versioning

Java Best Practices

Semantic versioning is a well-specified convention used by many software projects, although admittedly the extent to which the convention is followed can vary considerably between projects. In essence...

Use semantic versioning

Java Best Practices

Semantic versioning is a well-specified convention used by many software projects, although admittedly the extent to which the convention is followed can vary considerably between projects. In essenc...

An Introduction to Semantic Versioning

Level Up Coding

Semantic versioning is a system to help developers, project managers, and consumers have a universal way of understanding the release process. Semantic versioning is some guidelines so that we can…

Application Versioning Strategies

Javarevisited

There are many ways to version applications. Some of them appeared a long time ago and have little sense in web development. Nevertheless, they continue to be used. In this article, we will consider t...

Versioning a system

Analytics Vidhya

Whenever we need to do some API changes that are not backward compatible ie: request params/headers or response object’s structure is changed We don’t usually face many issues with the websites as we…...

A Better Versioning Technique for Frontend Applications

Better Programming

The healthy approach A little bit of story how did we got here. We’ve all been there at some point in time. App versions are simplified to just whole numbers and increment with every release… or not....

Why Versioning Is Important and How To Do It Properly

Better Programming

You might be wondering what a number on software, a game, or an application means. Something like 11.2.3 or maybe 10.4.3.2arm64. These are the numbers of the version that the application is currently…...

Versioning and Labeling — Better Together

Towards Data Science

The key to building powerful machine learning models is learning “the right things from the right data.” Just as we humans constantly take in new information and update what we think about the world…

Releasing and versioning

Python Packages

Previous chapters have focused on how to develop a Python package from scratch by creating the Python source code, developing a testing framework, writing documentation, and then releasing it online ...

Data Versioning: All You Need to Know

Towards Data Science

Introduction to Data Versioning with LakeFS command line. lakeFS introduces git-level manageability of your data and introduces CLI and UI interfaces to work with

Maintaining the Quality of Your Feature Store

Towards Data Science

Image by author The fundamentals of feature stores and a few tips on how and why you should monitor them Since Uber first introduced the concept in 2017, the feature store has been steadily gaining po...

Feature Flag Driven Development

Level Up Coding

This story will share knowledge around feature-flag driven releases, explore benefits of feature flags and how to use them. Photo by Arthur Mazi on Unsplash This story is based on a project where I wa...

Feature Handling

Towards Data Science

In this article, we will understand how to handle categorical and numerical features in a given data set. Before we start with how to handle them let's first understand what categorical and numeric…

Versioned Data Management System Design

Level Up Coding

Introduction Previously, I introduced a distributed ledger system . From a technical level, I explained how to build a data store that supports version history consistently. Expanding on this, this po...

Version Controlling in Practice: Data, ML Model, and Code

Towards Data Science

Version control is a crucial practice! Without it, your project may become disorganized, making it challenging to roll back to any desired point. You risk losing critical model configurations, weights...

Branches Are All You Need: Our Opinionated ML Versioning Framework

Towards Data Science

A practical approach to versioning machine learning projects using Git Branches that simplifies workflows and organises data and models TL;DR A simple approach to versioning machine learning projects...

A Look at Feature Lifecycle in Software Release Cycle

Better Programming

Go from ideas to reality Continue reading on Better Programming

Introduction to Data Version Control

Towards Data Science

Any production-level system requires some kind of versioning. A single source of current truth. Any resources that are continuously updated, especially simultaneously by multiple users, require some…

Developers; Use a Version Manager

Better Programming

The idea that you’ll install just one global version on your laptop and use that for every project is ridiculous One challenge that I’ve run into for any programming language is the ability to manage...

Feature Stores: A Hierarchy of Needs

Eugene Yan

Access, serving, integrity, convenience, autopilot; use what you need.

Get a Step Ahead With Feature Engineering

Towards Data Science

Machine learning models have difficulty interpreting categorical data; feature engineering allows us to re-contextualize our categorical data to improve the rigor of our machine learning models…

A Crash Course in API Versioning Strategies

ByteByteGo Newsletter

Developing an API involves a lot of work, from planning to implementation. It's crucial to have a clear and easy-to-understand versioning strategy to avoid confusing developers. In this week's issue, ...