Mercurial: The Definitive Guide



Download free course Mercurial: The Definitive Guide, pdf file on 282 pages by Bryan O'Sullivan.
This instructive book takes you step by step through ways to track, merge, and manage both open source and commercial software projects with Mercurial, using Windows, Mac OS X, Linux, Solaris, and other systems. Mercurial is the easiest system to learn when it comes to distributed revision control. And it's a very flexible tool that's ideal whether you're a lone programmer working on a small project, or part of a huge team dealing with thousands of files.

Mercurial permits a countless variety of development and collaboration methods, and this book offers several concrete suggestions to get you started. This guide will help you:
- Learn the basics of working with a repository, changesets, and revisions;
- Merge changes from separate repositories;
- Set up Mercurial to work with files on a daily basis, including which ones to track;
- Get examples and tools for setting up various workflow models;
- Manage a project that's making progress on multiple fronts at once;
- Find and fix mistakes by isolating problem sources;
- Use hooks to perform actions automatically in response to repository events;
- Customize the output of Mercurial.

Table of contents

  • A Brief History of Revision Control
  • A Tour of Mercurial: The Basics
  • A Tour of Mercurial: Merging Work
  • Behind the Scenes
  • Mercurial in Daily Use
  • Collaborating with Other People
  • Filenames and Pattern Matching
  • Managing Releases and Branchy Development
  • Finding and Fixing Mistakes
  • Handling Repository Events with Hooks
  • Customizing the Output of Mercurial
  • Managing Changes with Mercurial Queues
  • Advanced Uses of Mercurial Queues
  • Adding Functionality with Extensions
  • Migrating to Mercurial
  • Mercurial Queues Reference
  • Installing Mercurial from Source
  • Open Publication License
Pages : 282
Size : 2.7 MB
File type : PDF
Downloads: 50
Created: 2022-02-03
License: Open Publication License
Author(s): Bryan O'Sullivan
Mercurial: The Definitive Guide

Others Computer science Tutorials

Handbook of Vascular Biometrics

Pro Git

Learning R

The Node.js Handbook

Azure Pipelines Succinctly

Others related eBooks about Mercurial: The Definitive Guide

Azure Serverless Succinctly

Download free course Azure Serverless Succinctly, pdf file on 92 pages by by Sander Rossel....

Embedded Firmware Solutions

Embedded Firmware Solutions is the perfect introduction and daily-use field guide--for the..., download free Embedded Firmware tutorial in PDF (224 pages) created by Jiming Sun ....

Lies, Damned Lies, or Statistics: How to Tell the Truth with Statistics

The the goal of this book to help you learn How to Tell the Truth with Statistics and, therefore, how to tell when others are telling the truth ... or are faking their "news". ...

Discovering the STM32 Microcontroller

This book is intended as a hands-on manual for learning how to design systems using the STM32 F1 family of micro-controllers. It was written to support a junior-level computer science course at Indiana University. ...

Software & Hardware Collide

Download free course Software & Hardware Collide, pdf file on 80 pages by Jon Bruner, Glen Martin, Matthew Gast, Tim O'Reilly, Kipp Bradford, Jim Stogdill, Andy Fitzgerald....

Tutorial Eclipse IDE

Download free Eclipse tutorial course in PDF, training file in 9 chapters and 32 pages. Free unaffiliated ebook created from Stack OverFlow contributor....

Semantic Systems. The Power of AI and Knowledge Graphs

Download free course Semantic Systems. The Power of AI and Knowledge Graphs, pdf file on 400 pages by Maribel Acosta, Philippe Cudré-Mauroux, Maria Maleshkova, Tassilo Pellegrini, Harald Sack, York Sure-Vetter....

Think Complexity

Download free course Think Complexity, pdf file on 228 pages by Allen Downey....

Think Stats: Probability and Statistics for Programmers

If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. ...

S-BPM in the Production Industry

Download free course S-BPM in the Production Industry, pdf file on 239 pages by Matthias Neubauer, Christian Stary....