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Based on our record, Jupyter seems to be a lot more popular than glot.io. While we know about 205 links to Jupyter, we've tracked only 4 mentions of glot.io. 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.
Absolute power and money corrupts. In this case looks like both. Yeah I stopped using Replit after this. Other alternatives https://stackblitz.com/ https://glot.io/ https://codesandbox.io/. - Source: Hacker News / over 2 years ago
You can also use online coding editors such as https://replit.com/ or https://glot.io/. Source: over 2 years ago
Would you be willing to click the link in my parent comment (which links to code on glot.io, a trusted open source online evaluator), then click the Run button to generate output and confirm the parsing and then flattening shown in the output is the sort of thing you were talking about? Source: over 2 years ago
I usually just go to glot.io . It supports lots of languages, which is quiet nice. Source: over 2 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 / 4 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 15 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 / 10 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 / about 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 / about 2 months ago
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