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Introduction to Git

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

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4 Horas16 Videos56 Ejercicios
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Descripción del curso

This course introduces learners to version control using Git. You will discover the importance of version control when working on data science projects and explore how you can use Git to track files, compare differences, modify and save files, undo changes, and allow collaborative development through the use of branches. You will gain an introduction to the structure of a repository, how to create new repositories and clone existing ones, and show how Git stores data. By working through typical data science tasks, you will gain the skills to handle conflicting files.
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  1. 1

    Introduction to Git

    Gratuito

    In the first chapter, you’ll learn what version control is and why it is essential for data projects. Then, you’ll discover what Git is and how to use it for a version control workflow.

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    Introduction to version control with Git
    50 xp
    Using the shell
    50 xp
    Checking the version of Git
    100 xp
    Saving files
    50 xp
    Where does Git store information?
    50 xp
    The Git workflow
    100 xp
    Adding a file
    100 xp
    Adding multiple files
    100 xp
    Comparing files
    50 xp
    What has changed?
    50 xp
    What's going to be committed?
    100 xp
    What's in the staging area?
    50 xp
  2. 3

    Git workflows

    In this chapter, you'll learn tips and tricks for configuring Git to make you more efficient! You'll also discover branches, identify how to create and switch to different branches, compare versions of files between branches, merge branches together, and deal with conflicting files across branches.

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  3. 4

    Collaborating with Git

    This final chapter is all about collaboration! You'll gain an introduction to remote repositories and learn how to work with them to synchronize content between the cloud and your local computer. You'll also see how to create new repositories and clone existing ones, along with discovering a workflow to minimize the risk of conflicts between local and remote repositories.

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En las siguientes pistas

Ingeniero de datos en PythonCientífico de datos en PythonCientífico de datos en RDesarrollador PythonDesarrollador R

Colaboradores

Collaborator's avatar
Amy Peterson
Collaborator's avatar
Izzy Weber
Collaborator's avatar
Jasmin Ludolf
George Boorman HeadshotGeorge Boorman

Curriculum Manager, DataCamp

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