This document provides an overview of Git and Git Flow for version control. It defines key Git concepts like version control systems, distributed version control, and the benefits of Git over centralized systems. It also explains the branches and workflow in Git Flow, including features, releases, hotfixes and using branches to independently develop features before merging into develop or master. The document concludes with some advanced Git techniques like bisecting to find broken commits, cherry-picking commits, using .gitignore files, and blame to identify who last changed a file.
Excerpt from slides used in undergraduate software engineering lectures.
Our favorite git tricks, git commands and utilities that make working with git easier.
Updated June 2015.
This is a presentation give to the Vancouver Drupal users group about moving to GIT as a version control system for a small development team. The presentation details the workflow we settled on, and the git flow method for branch management. You can see a video of the presentation here - http://www.ustream.tv/recorded/13544036
Excerpt from slides used in undergraduate software engineering lectures.
Our favorite git tricks, git commands and utilities that make working with git easier.
Updated June 2015.
This is a presentation give to the Vancouver Drupal users group about moving to GIT as a version control system for a small development team. The presentation details the workflow we settled on, and the git flow method for branch management. You can see a video of the presentation here - http://www.ustream.tv/recorded/13544036
I was inspired to use GIT much more reliably after reading about Git Flow. I got a little lost until I read "Why Aren't You Using Git Flow?". I decided to do a presentation for OrlandoPHP to try and share my enthusiasm with them.
Thank you to Vincent Driessen and Jeff Kreeftmeijer for being my inspiration.
VCS: Version Control System
Git repository
Various Git Commands and their use
GitHub Local Repo and cloning a repo form remote server
use of git and its importance in todays IT Industry
● For most of the basic interactions with git you’ll mainly use 7 commands that we’ll cover here
git commands ● git init ● git clone ● git log ● git diff ● git status ● git add ● git commit
branching merging and git workflow
Mistakes happen - no matter how experienced you are. Using Git as your version control system, however, you have a safety net that helps you if it comes to the worst. Learn how to undo, roll back, and recover from mistakes.
Tutorial on Version control system using git and github.
To learn more and to download printable cheet sheets please visit my website www.techoalien.com.
Also like us on facebook https://www.facebook.com/techoalien
I was inspired to use GIT much more reliably after reading about Git Flow. I got a little lost until I read "Why Aren't You Using Git Flow?". I decided to do a presentation for OrlandoPHP to try and share my enthusiasm with them.
Thank you to Vincent Driessen and Jeff Kreeftmeijer for being my inspiration.
VCS: Version Control System
Git repository
Various Git Commands and their use
GitHub Local Repo and cloning a repo form remote server
use of git and its importance in todays IT Industry
● For most of the basic interactions with git you’ll mainly use 7 commands that we’ll cover here
git commands ● git init ● git clone ● git log ● git diff ● git status ● git add ● git commit
branching merging and git workflow
Mistakes happen - no matter how experienced you are. Using Git as your version control system, however, you have a safety net that helps you if it comes to the worst. Learn how to undo, roll back, and recover from mistakes.
Tutorial on Version control system using git and github.
To learn more and to download printable cheet sheets please visit my website www.techoalien.com.
Also like us on facebook https://www.facebook.com/techoalien
Tutorial on Version control system using git and github.
To learn more and to download printable cheet sheets please visit my website www.techoalien.com.
Also like us on facebook https://www.facebook.com/techoalien
Do you know the basics of Git but wonder what all the hype is about? Do you want the ultimate control over your Git history? This tutorial will walk you through the basics of committing changes before diving into the more advanced and "dangerous" Git commands.
Git is an open source, distributed version control system used to track many different projects. You can use it to manage anything from a personal notes directory to a multi-programmer project.
This tutorial provides a short walk through of basic git commands and the Git philosophy to project management. Then we’ll dive into an exploration of the more advanced and “dangerous” Git commands. Watch as we rewrite our repository history, track bugs down to a specific commit, and untangle commits into an LKML-worthy patchset.
Git is a version control system using which, the developer can manage source codes. this document focuses on -
1. Basic introduction to git.
2. Branching policies.
3. Different operations of git.
4. Handles scenarios and their mitigation policies.
Git Workshop
Daniel Laufer on September 15, 2021
Get an overview of Git and GitHub including what they are, their purpose, how they work, how they interact with each other, and much more.
You will learn about essential Git commands and concepts and go through several short demos using them.
Additionally, you will learn how to collaborate with others on a project using Git and GitHub, and learn how to contribute to open-source projects.
All of this combined will allow students to learn an essential skill that will follow them through their career in tech!
A Beginner's Guide to Git and GitHub, CLI version.
What is Git?
What is Github
Basic commands
Difference between Central and Distributed Version Controlling System
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
Course Website http://pbdmng.datatoknowledge.it/
Contact me to download the slides
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
5. What is a version control system?
● “Version control is a system that records changes to a file
or set of files over time so that you can recall specific
versions later.” - git-scm
● VCSs allow you to collaborate easily with other
developers, designers, etc
● VCSs allow you to blame others for issues in the code and
mock them
6. Why is Git different?
● Git is a Distributed Version Control System
● Git is not a Centralized Version Control System
7. Centralized Version Control System
● A single server has the full repository
● Clients check out latest snapshot
● Must be connected to server checkout and commit code
● SINGLE POINT OF FAILURE
● Popular (?) CVCSs: CVS, SVN
9. Distributed Version Control System
● Each computer that connects has a full repository
● Commits can occur offline
● NO SINGLE POINT OF FAILURE...YAY!!!
● Popular DVCSs: Mercurial, GIT (the best)
11. Gitting Started (with someone else’s repo)
● Clone an existing repo
● git clone https://github.com/d-co/wwc.git
12. How to git
● Write code
● Stage code
● Commit code
● Push Code
13. Gitting your code in there...
First... Then…
● git add <filename>
● git commit -m
● git push
Code
14. A quick word about “git add”
● The git add command stages a file for commit
● Adds and stages a previously un-revisioned file
● Stages a modified file for commit
● You could use git commit -a
○ but you’d be wrong
15. Back up! Know the changes BEFORE commit
git status
Your branch is up-to-date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git checkout -- <file>..." to discard changes in working directory)
modified: README.md
Untracked files:
(use "git add <file>..." to include in what will be committed)
atextfile.txt
no changes added to commit (use "git add" and/or "git commit -a")
16. git status - new file
Untracked files:
(use "git add <file>..." to include in what
will be committed)
atextfile.txt
no changes added to commit (use "git add"
and/or "git commit -a")
17. git status - modified file
Your branch is up-to-date with 'origin/master'.
Changes not staged for commit:
(use "git add <file>..." to update what will be committed)
(use "git checkout -- <file>..." to discard changes in
working directory)
modified: README.md
18. What changed in that file? - git diff
diff --git a/README.md b/README.md
index bdfac6c..ddf9f4d 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,4 @@
# wwc
This is a basic git repo!!
+Hello
19. git status - staged for commit
On branch master
Your branch is up-to-date with 'origin/master'.
Changes to be committed:
(use "git reset HEAD <file>..." to unstage)
modified: README.md
new file: atextfile.txt
20. Now let’s commit and push
● git commit -m “Added atextfile and said
hello!”
● git push
● NAP TIME!!!
22. Wait a minute? What just happened?
git log
commit b17914988de7bc892faea78aea86e2889c53b419
Author: Dana <email@address.com>
Date: Sun Mar 19 23:22:55 2017 -0600
Update README.md
commit f4b4f69c4045438e0dc8ca5e1610d1fe4cd758f9
Author: Dana White <email@address.com>
Date: Sun Mar 19 23:21:17 2017 -0600
This is a commit and hello
23. Gitting started with your own repo
● git init
● git add README.md
● git commit -m “Your first commit”
● git remote add origin <your url>
● git push -u origin master
25. Set the upstream for pushes
● git init
● git add README.md
● git commit -m “Your first commit”
● git remote add origin <your url>
● git push -u origin master
26. Branches
● Independent line of development
● Represents brand new dev, staging environment and
project history
● I stole this from
https://www.atlassian.com/git/tutorials/using-branches
27. Working on branches
● git checkout -b “branch-name”
● Do your work
● git checkout master
● git merge “branch-name”
29. Provided nothing goes wrong….
Or you need to collaborate
Or maintain releases
Or just follow some best
practices so you’re not
constantly overwriting
what’s in production with no
way of easily going back
32. Pause work
● Doing work
● Oh no, quick pivot!!
● Follow these steps
● git stash
● git stash pop
33. Resume Work
● Doing work
● Oh no, quick pivot!!
● Follow these steps
● git stash
● git stash pop
34. Conflict
● Do some work
● Commit some work
● Git pull…..
CONFLICT (content): Merge conflict in README.md
Automatic merge failed; fix conflicts and then commit the
result.
35. Find that conflict
<<<<<<< HEAD
This IS a basic git repo!!
=======
This IS NOT a basic git repo!!
>>>>>>> 89892ec2b035f113fed2be257526dcf6a3603dbe
37. Mark as resolved and continue on
● git add <conflicted file>
● git commit
● git push
38. OH NO, Everything I did in this file is wrong
● git checkout <filename>
● Reverts all your changes in a given file
39. OH NO, Everything I did in this whole repo is wrong
● git reset --hard
● Reverts all your changes back to HEAD
40. OH NO, I forgot <insert thing> with that commit
● git commit --amend
● Allows you to add a file
● Change a commit message
● All around just fix what you forgot in the last commit
41. OH NO, Revert that commit
● git revert <commit>
● Creates a new commit
● Doesn’t overwrite history
● SAFE
42. OH NO, I need to kill everything about that
● git rebase/git rebase -i
● Re-writes history
● Use with CAUTION
● UNSAFE
43. Cases for Rebase
● Joe merged into master (again)
● Eliminate merge commits
● Squash unnecessary commits
44. Case Joe
● Joe pushed to default
● It is NOT production ready
● If we revert the commit, when we
go to merge it in, pain will ensue
● git rebase -i
● d <commit> “<message>”
● git push
--force-with-lease
45. Case Eliminate Merge Commits
A---B---C topic
/
D---E---F---G master
● Long running branch
that will need lots of
merges
● git rebase master
topic
A'--B'--C' topic
/
D---E---F---G master
46. Case Squash
● Do work
● A commit message like “Fixed
this problem”
● Another commit message like
“That didn’t work trying it again”
● “Shoot, another try”
● “Finally got it”
● git rebase -i
● s <commit> “<message>”
● git push
--force-with-lease
48. What is Git Flow?
● A strategy for branching
● Creates an environment for independent, concurrent
development
● Maintains release branches and versions
53. Feature Branches
● Represents a new feature
● Corresponds to one ticket in bug tracking (that’s just me)
● Typically worked on individually or by small team
● Branched off of develop
● Merged into develop
● Naming convention feature/<what’s-my-feature>
54. Hotfix branches
● Production emergency releases
● Outside of “normal” release
● Branched directly from master
● Merged back into master
● Naming convention: hotfix/<summary-of-hotfix>
55. Release branches
● The next batch of features to go into production
● Represents a sprint/cycle, whatever flow you’re using
● Branched off of develop
● Merges back into develop and master
● Naming convention: release/<version>
56. Why flow?
● Features are independent
● Master is always ready for a hotfix
● Allows for lots of different things with minimal toe-stepping
● Great for development with release cycles
58. Git bisect -- Finding a broken commit
1. Find a commit where things are working
2. Find a commit where things aren’t working
3. Start git bisect
4. Git keeps finding middle point of a bisect and you tell it
what’s good and bad until you’ve traced it down
59. Git bisect - cont’d
● git bisect start
● git bisect good <commit>
● git bisect bad <commit>
● Mark each commit as good or bad until you find the first
bad commit
60. Git cherry-pick -- I just need that one thing
● There’s only one commit you need from a branch
● git cherry-pick <commit>
● Merge that one in
61. Gitignore
● Add a .gitignore file to your repo
● It tells git what to ignore when checking in
● Removes noise about un-revisioned IDE files
62. Git blame -- who screwed this up
● Traces file changes by username
● One of the few times I prefer a visual client
● git blame <filename>
65. Git clients...why don’t you like command line???
● SourceTree https://www.sourcetreeapp.com/
● Tortoise (Windows) https://tortoisegit.org/
● Magit https://magit.vc/ -- I don’t know why you need a
client for Emacs, you should just suck it up and do
command line already
● Your IDE - probably
66. Git HELP!!!
● Git page https://git-scm.com/docs
● StackOverflow https://stackoverflow.com/
● The google (which will probably take you to one of the two
above)