Git and GitHub Tutorial For Beginners - Full Course

In this Git and GitHub tutorial you will learn the essentials to be comfortable with git and GitHub.

GIt is software for tracking changes in any set of files, usually used for coordinating work among programmers collaboratively developing source code during software development.

GitHub is the most popular hosting platform for software development and version control using Git.

This course is split into Git tutorial and Git and GitHub Tutorial
► What is Git
► Setup Git
► Git commits
► Git branches
► Git push
► Git rebase
► Git merge
► Github
► Pull Requests
► Exploring GiHub
► Open Source Software

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SQL Tutorial - Full Database Course for Beginners. DO NOT MISS!!!

In this course, we’ll be looking at database management basics and SQL using the MySQL RDBMS.
⭐️ Contents ⭐
⌨️ (0:00) Introduction
⌨️ (2:36) What is a Database?
⌨️ (23:10) Tables & Keys
⌨️ (43:31) SQL Basics
⌨️ (52:26) MySQL Windows Installation
⌨️ (1:01:59) MySQL Mac Installation
⌨️ (1:15:49) Creating Tables
⌨️ (1:31:05) Inserting Data
⌨️ (1:38:17) Constraints
⌨️ (1:48:11) Update & Delete
⌨️ (1:56:11) Basic Queries
⌨️ (2:08:37) Company Database Intro
⌨️ (2:14:05) Creating Company Database
⌨️ (2:30:27 ) More Basic Queries
⌨️ (2:26:24) Functions
⌨️ (2:45:13) Wildcards
⌨️ (2:53:53) Union
⌨️ (3:01:36) Joins
⌨️ (3:11:49) Nested Queries
⌨️ (3:21:52) On Delete
⌨️ (3:30:05) Triggers
⌨️ (3:42:12) ER Diagrams Intro
⌨️ (3:55:53) Designing an ER Diagram
⌨️ (4:08:34) Converting ER Diagrams to Schemas
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=HXV3zeQKqGY&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=8
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7 Best Practices in GIT for Your Code Quality

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.

1. Atomic Commit

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.

• You can commit 1000 changes in one single commit.
• Commit all the dll and other dependencies
• Or you can check in broken code to your repository.

But is it good? Not quite.

Because you are compromising code quality, and it will take more time to review code. So overall, team productivity will be reduced. The best practice is to make an atomic commit.

When you do an atomic commit, you’re committing only one change. It might be across multiple files, but it’s one single change.

2. Clarity About What You Can (& Can’t) Commit

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

1. Are you suppose to check-in all these files?
2. Are they part of your source code?

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

C++ Tutorial for Beginners - Full Course. DO NOT MISS!!!

This course will give you a full introduction into all of the core concepts in C++.
⭐️ Contents ⭐
⌨️ (0:00:00) Introduction
⌨️ (0:01:38) Windows Installation
⌨️ (0:04:54) Mac Installation
⌨️ (0:08:44) Setup & Hello World
⌨️ (0:12:29) Drawing a Shape
⌨️ (0:19:55) Variables
⌨️ (0:31:43) Data Types
⌨️ (0:39:15) Working With Strings
⌨️ (0:49:00) Working With Numbers
⌨️ (0:59:41) Getting User Input
⌨️ (1:05:32) Building a Calculator
⌨️ (1:09:28) Building a Mad Libs
⌨️ (1:13:45) Arrays
⌨️ (1:20:03) Functions
⌨️ (1:29:47) Return Statement
⌨️ (1:35:22) If Statements
⌨️ (1:47:15) If Statements (con’t)
⌨️ (1:55:58) Building a Better Calculator
⌨️ (2:02:20) Switch Statements
⌨️ (2:10:47) While Loops
⌨️ (2:18:53) Building a Guessing Game
⌨️ (2:29:18) For Loops
⌨️ (2:38:32) Exponent Function
⌨️ (2:45:21) 2d Arrays & Nested Loops
⌨️ (2:54:55) Comments
⌨️ (2:59:11) Pointers
⌨️ (3:13:26) Classes & Objects
⌨️ (3:25:40) Constructor Functions
⌨️ (3:34:41) Object Functions
⌨️ (3:41:43) Getters & Setters
⌨️ (3:54:04) Inheritance

Course developed by Mike Dane. Check out his YouTube channel for more great programming
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=vLnPwxZdW4Y&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=10
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Python tutorial Full Course from scratch

Go to playlist and learn full Python Course in free. No charges are applied. 100% FREE course.

https://www.youtube.com/playlist?list=PLTUSGW0o2A2EWLA7ePmiz8brEwrR2R3Cq

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Data Visualization in R with ggplot2: A Beginner Tutorial

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

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