Google Colaboratory VS. Jupyter Notebook
| Jupyter Notebook | Google Colab | |
| 操作位置 | 在個人硬件中操作 | 在Google服務器中操作 |
| 操作時間 | 操作時間限制於電腦的容量 | 12/24小時的操作時間，及Google能進行干預 |
| Python下載庫 | 用家需自行安裝不同的庫(Library) | 大部分必需的庫(Library)已預先下載 |
| 存儲空間 | 使用系統的處理器及沒有外部的GPU及TPU | 提供免費GPU 及TPU，亦可使用個人電腦操作 |
| 價錢 | 完全免費 | 若需額外程式，則需付費 |
Google Colaboratory (Colab) is a platform that allows for Python programming. It offers several advantages, including the convenience of not needing to download or pre-install various Python tools internally.
Google Colab features
- No installation required: Users can write and execute Python code without the need to download or set up anything on their local machines.
- Terminal access: Google Colab allows users to run terminal commands directly within the environment.
- Data import: Users can easily import datasets from third-party sources, such asKaggle
- Integration with Google Drive: Google Colab integrates seamlessly with Google Drive, allowing notebooks to be saved and accessed directly from Drive. Users can also import notebooks from Drive into Colab.
- Including popular libraries like PyTorch, TensorFlow, OpenCV, and more, making it convenient for users to work with these libraries without any additional installations.
- Google Colab provides free access to cloud-based GPUs and TPUs, allowing users to leverage powerful computing resources without worrying about hardware limitations. Users can choose different GPU or TPU options based on their specific needs.
- Users can import notebooks directly from GitHub or publish their own notebooks to GitHub repositories.
