Git is a distributed version-control system for tracking changes in source code during software development. It is designed for coordinating work among programmers, but it can be used to track changes in any set of files. Its goals include speed, data integrity, and support for distributed, non-linear workflows.
In this course you will learn about how to use git from to ground level to the advance.
#git #github #developer
There is no doubt that Git plays a significant role in software development. It allows developers to work on the same code base at the same time. Still, developers struggle for code quality. Why? They fail to follow git best practices. In this post, I will explain seven core best practices of Git and a Bonus Section.
Committing something to Git means that you have changed your code and want to save these changes as a new trusted version.
Version control systems will not limit you in how you commit your code.
But is it good? Not quite.
When you do an atomic commit, you’re committing only one change. It might be across multiple files, but it’s one single change.
Many developers make some changes, then commit, then push. And I have seen many repositories with unwanted files like dll, pdf, etc.
You can ask two questions to yourself, before check-in your code into the repository
You can simply use the .gitignore file to avoid unwanted files in the repository. If you are working on more then one repo, it’s easy to use a global .gitignore file (without adding or pushing). And .gitignore file adds clarity and helps you to keep your code clean. What you can commit, and it will automatically ignore the unwanted files like autogenerated files like .dll and .class, etc.
#git basics #git command #git ignore #git best practices #git tutorial for beginners #git tutorials
A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.
This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!
In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2
#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials
Git has become ubiquitous as the preferred version control system (VCS) used by developers. Using Git adds immense value especially for engineering teams where several developers work together since it becomes critical to have a system of integrating everyone’s code reliably.
But with every powerful tool, especially one that involves collaboration with others, it is better to establish conventions to follow lest we shoot ourselves in the foot.
At DeepSource, we’ve put together some guiding principles for our own team that make working with a VCS like Git easier. Here are 5 simple rules you can follow:
Oftentimes programmers working on something get sidetracked into doing too many things when working on one particular thing — like when you are trying to fix one particular bug and you spot another one, and you can’t resist the urge to fix that as well. And another one. Soon, it snowballs and you end up with so many changes all going together in one commit.
This is problematic, and it is better to keep commits as small and focused as possible for many reasons, including:
Additionally, it helps you mentally parse changes you’ve made using
#open source #git #git basics #git tools #git best practices #git tutorials #git commit
There are many ways of working with git, if they’re clean, and don’t do damages, probably most of them are good.
But same as space vs. tab, in the IT world is a war between fans of rebase, and fans of git merge.
There are tons of arguments about:
-Which way is better?
-Which one is cleaner?
-Which is more comfortable?
-Which one gives a cleaner git graph?
-Why it’s important, and which one is more dangerous?
#quick help #tutorials #git #git branch #git commit #git interactive rebase
In this tutorial we’ll learn how to begin programming with R using RStudio. We’ll install R, and RStudio RStudio, an extremely popular development environment for R. We’ll learn the key RStudio features in order to start programming in R on our own.
If you already know how to use RStudio and want to learn some tips, tricks, and shortcuts, check out this Dataquest blog post.
[tidyverse](https://www.dataquest.io/blog/tutorial-getting-started-with-r-and-rstudio/#tve-jump-173bb264c2b)Packages into Memory
#data science tutorials #beginner #r tutorial #r tutorials #rstats #tutorial #tutorials