AWS Cloud9 Reviews

nbviewer.org Reviews

AWS Cloud9 mentions (38)

• Codespaces but open-source, client-only, and unopinionated

  AWS has Cloud9[1] though it's worth pointing out that it's not an exact a 1:1 and may require some elbow grease to use in the same manner[2]. 1. https://aws.amazon.com/cloud9/ 2. https://aws.amazon.com/blogs/architecture/field-notes-use-aws-cloud9-to-power-your-visual-studio-code-ide/ (2021). - Source: Hacker News / about 1 year ago

• How does working with files through AWS work, do you save them onto the AWS console?

  If you just want to run an IDE for Python in the cloud, take a look at AWS Cloud9 (that would cost something however). You could get your code into AWS and sync your local changes using a source code repository, e.g. On GitHub or GitLab. Source: about 1 year ago

• Best web-based IDEs?

  Not sure why you won't use replit but AWS has Cloud9 https://aws.amazon.com/cloud9/. Source: over 1 year ago

• Taking my AWS CCP Exam today, any additional notes help, feel pretty good about the information I’ve reviewed, but please feel free to drop advice or notes.

  As I mentioned in a previous post, cloud9 was not in the course I was studying from, and not in the practice exams I solved. It came in my exam. Https://aws.amazon.com/cloud9/. Source: over 1 year ago

• Passed Cloud Practitioner exam yesterday. New question about cloud9 in the exam

  Link: https://aws.amazon.com/cloud9/. Source: over 1 year ago

nbviewer.org mentions (13)

• Jupyter kernel for Logtalk

  Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago

• Is there a CodePen/OverLeaf equivalent for sharing and viewing Jupyter Notebooks/Labs

  Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago

• Collaborative Jupyter Whiteboards

  Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago

• First data science project (visualization): What should I improve on?

  Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago

• Can someone please review my data visualisation notebook?

  I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago