Introduction to Git, GitHub, GitLab 评分:4.2,满分 5 分4.2(136 个评分) 4,466 个学生 创建者beCloudReady Training 上次更新时间:4/2025 英语 英语[自动] 预览本课程 1.5 小时 长的随选视频 完整的永久访问权 在移动设备和电视上观看 结业证书
GitHub is a website where millions of developers gather every day to collaborate on open source software. It's also the place that hosts billions of lines of code, and also a place where users of software go to report issues they might have. Learn all th
Git technology, just like Microsoft did within Team Foundation Server and later Azure DevOps, or even other products/websites like Bitbucket, GitLab, and so on. GitHub has become well known because of its usage within the open source world. Many open source projects are hosted within GitHub...
There are also tools to support data science and machine learning, such as JupyterLab and Conda. The default dev container image also includes other developer tools and utilities like Git, GitHub CLI, yarn, openssh, and vim. To see all the la...
To run these labs, you must have a Google account.On this Github repo, navigate to the lab folder you want to run (lab1, lab2, lab3) and open the appropriate python notebook (*.ipynb). Click the "Run in Colab" link on the top of the lab. That's it!
GitLab, GitHub, and Bitbucket - Are services that provides remote access to Git repositories. In addition to hosting your code, the services provide additional features designed to help manage the software development lifecycle. These additional features include managing the sharing of code between ...
to support data science and machine learning, such as JupyterLab and Conda. The default dev container image also includes other developer tools and utilities like Git, GitHub CLI, yarn, openssh, and vim. To see all the languages, runtimes, and tools that are included use thedevcontainer-info...
It's far more common to host a central repo on a code hosting service.0:09 GitHub is the most popular git service.0:13 Other alternatives that work similarly include BitBucket and GitLab.0:16 See that teacher's notes for info on those.0:21 ...
On this Github repo, navigate to the lab folder you want to run (lab1,lab2,lab3) and open the appropriate python notebook (*.ipynb). Click the "Run in Colab" link on the top of the lab. That's it! Running the labs Now, to run the labs, open the Jupyter notebook on Colab....
还有一些工具可以支持数据科学和机器学习,例如 JupyterLab 和 Conda。 默认开发容器映像还包括其他开发人员工具和实用程序,例如 Git、GitHub CLI、yarn、openssh 和 vim 等。 若要查看包含的所有语言、运行时和工具,请在 codespace 终端中使用devcontainer-info content-url命令,并遵循命令输出的 URL。