- Hands-On Data Science with Anaconda
- Dr. Yuxing Yan James Yan
- 161字
- 2021-06-25 21:08:46
Using Python via Jupyter
Here, we show you how to write simple Python code via Jupyter:
- From the menu, after clicking Anaconda, we can find an entry called Jupyter Notebook. After clicking on that entry, we can see the following:

- If we click New on the right-hand side, we can find several choices. After we choose Python 3, we end up with the following starting file:

- We can now type our Python commands in the box. Remember to press Shift + Enter if you want to execute the command (shown here):

- We can also type multiple commands and execute them, as shown here:

The colorful and distinct treatment of keywords, parentheses, and values makes our programming a little easier.
We could save our programs by choosing File|Save and Checkpoint on the menu bar. Similarly, we could load our presaved programs by choosing File|Revert to Checkpoint directly from the menu bar or finding it under Files in the Jupyter home page.
推薦閱讀
- 高性能混合信號ARM:ADuC7xxx原理與應用開發
- 機器學習及應用(在線實驗+在線自測)
- 人工免疫算法改進及其應用
- AWS:Security Best Practices on AWS
- 空間傳感器網絡復雜區域智能監測技術
- 21天學通Java
- RPA(機器人流程自動化)快速入門:基于Blue Prism
- 運動控制器與交流伺服系統的調試和應用
- 嵌入式操作系統
- 我也能做CTO之程序員職業規劃
- 悟透JavaScript
- Ansible 2 Cloud Automation Cookbook
- 重估:人工智能與賦能社會
- PowerMill 2020五軸數控加工編程應用實例
- Linux Shell Scripting Cookbook(Third Edition)