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Python3.X

الدليلالتكاملاتالأسئلة الشائعةالدعم
التسعيرالمدونة
البدء السريعTop-Up and BillingAccelerating Access to Academic ResourcesQuick StartIntroductionMaintenance and TroubleshootingNetwork
المنصةJetBrain ProjectorTmpWebCal Scholars Program @2026Introduction to the Public Beta/Suqian Zone AAbout UsCopying Data Between InstancesAnalysis of Server Performance MetricsTidal Computing PowerLoad Balancing
الرقائق المحليةUsing Huawei MindIEHuawei Ascend NPUMooreThread GPU
إعداد البيئةCUDA/cuDNNMinicondaPython3.XInstalling DependenciesOverviewImages
ميزات المؤسساتFlexible DeploymentElastic Deployment Release NotesBest Practices for Elastic DeploymentPerformance Metrics Monitoring
مثيلات الحاوياتJupyterLabRemote SSH ConnectionSave the imageScaling ConfigurationMulti-machine, multi-GPU parallel processingDaemonOverviewChange the billing methodMigration Example (Same Region)Migration ExamplesRemote DesktopReset the system
اختيار وحدة GPUGPU SelectionPerformance Testing
البياناتUpload DataDownload DataPublic DataPublic Cloud Storage (Highly Recommended)Compression / DecompressionFile StorageLocal data diskOverview
أفضل الممارساتFileZillaGitGromacsHuggingFaceKataGoLinux BasicsMPIOpenCLPyCharm Remote DevelopmentR (RStudio) InstallationSSH TunnelTensorBoardRemote Development with VSCodeVisdomVulkanXShellOpen PortsWeChat MessagesPerformanceExpose multiple servicesMoney-Saving TipsComputation Precision IssuesSoftware Sources

إعداد البيئة

Python3.X

٣٠‏/٠٧‏/٢٠٢٦76919 مشاهدة

The Python versions included in the platform’s built-in images are fixed (e.g., Python 3.7, Python 3.8, Python 3.10, Python 3.12). If you need to use Python 3.6 (for example, TensorFlow 1.14 requires Python 3.6 or 3.7), you can use Miniconda to create a Python virtual environment with a different version.

# 构建一个虚拟环境名为:my-env,Python版本为3.7
conda create -n my-env python=3.7

# 更新bashrc中的环境变量
conda init bash && source /root/.bashrc
# 切换到创建的虚拟环境:my-env
conda activate my-env

# 验证
python
المقال التاليGromacs
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