This Edureka “Git Tutorial” will take you through concepts and operations of a Distributed Version Control System called Git. You will learn Git and all the Git commands to create repositories on your local machine & GitHub, commit changes, push & pull files. Also, you will get your hands-on with some advanced operations in Git like branching, merging, rebasing, etc. in this Git Tutorial for Beginners.
Following are the topics covered in the Git tutorial:
#git #github #programming #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
Edureka DevOps Training: https://www.edureka.co/devops-certification-training/
#devops #beginners #tutorial #training
This Docker Jenkins Tutorial video will help you understand how to run an entire software development workflow by integrating Docker and Jenkins.
#devops #beginners #training #tutorial #jenkins #docker
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
Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the “sexiest job of the 21st century.” You’ll learn the important elements of data science. You’ll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You’ll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.
⭐️ Course Contents ⭐️
⌨️ Part 1: Data Science: An Introduction: Foundations of Data Science
⌨️ Part 2: Data Sourcing: Foundations of Data Science (1:39:46)
⌨️ Part 3: Coding (2:32:42)
⌨️ Part 4: Mathematics (4:01:09)
⌨️ Part 5: Statistics (4:44:03)
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=ua-CiDNNj30&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=7
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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#data science #learn data science #learn data science tutorial #beginners #learn data science tutorial - full course for beginners