Based on our record, Jupyter seems to be a lot more popular than SAP Cloud Appliance Library. While we know about 205 links to Jupyter, we've tracked only 3 mentions of SAP Cloud Appliance Library. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Access to test/trial systems: there are trial systems on SAP CAL but not everyone can cough up 150$/month idle + 4$ per hour (S/4HANA 2021 trial with Google Cloud, according to the cost estimator). There are somewhat shady companies in India offering remote access but I know some people even in the US use them because it's way cheaper and convenient. (I don't endorse such companies and don't have any details.). Source: over 1 year ago
One point though: C4C is especially bad with regards to access. With other solutions, SAP is much better. You can spin up an entire SAP cloud infrastructure with S4 and cloud integration on https://cal.sap.com/ and the BTP trials. Source: over 2 years ago
You can easily spin up an S4 system to look around at cal.sap.com. Source: almost 3 years ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 18 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 29 days ago
Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / 24 days ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / 2 months ago
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