Beginner score
72/100
Competition workspace
适合想首次上手 Linux/openEuler 的学生或初学者,以及已有 Windows、Linux 或云平台环境、愿意按培训资料完成一次系统体验的人。可选择 VirtualBox、Docker、WSL、公有云或树莓派中的一种或多种方式,因此不要求固定硬件,但相应方式需要可用的本机环境、云账号或树莓派设备。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
72/100
Learning value
70/100
Estimated effort
6-16 hours
Metric
Official scoring is published on the Op…
适合想首次上手 Linux/openEuler 的学生或初学者,以及已有 Windows、Linux 或云平台环境、愿意按培训资料完成一次系统体验的人。可选择 VirtualBox、Docker、WSL、公有云或树莓派中的一种或多种方式,因此不要求固定硬件,但相应方式需要可用的本机环境、云账号或树莓派设备。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
openEuler 基础使用
Linux 命令行
AtomGit Issue 提交
虚拟机或容器使用
截图与问题记录
The real friction is usually not library usage. It is validation, time allocation, and task framing.
主要工作不是训练模型,而是实际搭建并运行 openEuler 环境,再在仓库提交 Issue 和系统体验截图。对没有虚拟机、Docker、WSL 或 Linux 操作经验的人,选择并配置一种可用的体验方式会最花时间。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.