Version Control - Learn Data Science with Travis

Version-Control

Version control, also known as source control, is a crucial practice in software development that involves tracking and managing changes to code over time. It allows developers to maintain a history of modifications, making it easier to collaborate, revert to previous versions, and manage different project iterations. Version control systems (VCS) provide a structured way to handle changes, reducing the risk of errors and conflicts among team members. By preserving the integrity of the source code, version control enhances efficiency and agility, especially in fast-paced development environments, making it an essential tool for both individual developers and teams.

What is version control

Atlassian Git Tutorial

Version control, also known as source control, is the practice of tracking and managing changes to software code. Version control systems are software tools that help software teams manage changes to ...

Getting Started With Version Control

Level Up Coding

Version Control is an absolutely critical component to developing that every coder should be familiar with. Version Control is a logging system which records the history of your code so that the…

How to Version Control your Machine Learning task — I

Towards Data Science

A component of software configuration management, version control, also known as revision control or source control,[1] is the management of changes to documents, computer programs, large web sites…

Overview of GIT Version Control System

Analytics Vidhya

In software engineering, version control (also known as revision control, source control, or source code management) is system responsible for managing changes to computer programs, documents, large…

A Quick Primer to Version Control Using Git

Towards Data Science

Version control is a type of system that allows you to keep track of changes made to your code over time. As such, version control is useful because: As coding is an integral aspect of data science…

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...

Git — Version Control System

Towards Data Science

Why you need a Version control software — You worked on something and now you want to save it somewhere before it gets disrupted or deleted, so you can continue working where you left off. Ok lets go…...

Version Control Systems

Arcade Academy

We will use a version control system to track your work, and allow the instructor to give feedback. Odds are, this will be the same exact system you’d use in a large company. 3.1. Quick Reference  T...

Introduction to Data Version Control

Towards Data Science

What is Data Version Control (DVC)? Any production-level system requires some kind of versioning. A single source of current truth. Any resources that are continuously updated, especially simultaneous...

Source Control

Full Stack Python

Source control versions and backs up code for when programming problems occur. Learn more about source control on Full Stack Python.

Data Versioning for Efficient Workflows with MLFlow and LakeFS

Towards AI

Version Control Systems, such as Git, are essential tools for versioning and archiving source code. Version Control helps you keep track of the changes in the code. When a change is made, an error…

A Simple Story to Explain Version Control to Anyone

Towards Data Science

When I started using Version Control in my projects, the concept was difficult to understand. I saw many people, including myself, running commands such as git pull, git push and applying processes…