Jupyter Notebook Reviews

Summary: Jupyter Notebook makes it possible to run your own machine learning programs without needing to invest in powerful computational hardware. Its cloud based editor makes it simple to work from anywhere.

Positive: - makes it very easy to start developing
- cloud based dev environment means you can write and run scripts from anywhere
- compute tiers include GPUs so you can run very heavy data analysis operations in the cloud
- low per-minute compute pricing

Negative: - interface could be nicer looking
- can be difficult to get started without video tutorials

Summary: Very positive experience using this. Jupyter is a fantastic coding tool for zero to low experienced coders.

Positive: Step-by-step casual coders like me dream of such a simple software. I use the tool to execute simple Python scripts and Jupyter is far easier to code on that Visual Studio or even the Python shell itself. Keyboard shortcuts make it even easier to use.

Negative: Would be better if installation is easier. I had to watch a few YouTube videos to understand how to start installation.

Summary: I use Jupyter for practicing python codes for Machine Learning, and I love it so far. Apart from the initial load time, and the unimpressive interface, it is an excellent tool for writing and debugging code.

Positive: • It is web-based, so saves you a lot of space.
• Allows you to import your own code in many formats.
• You can also work with visuals and charts.
• I like that you can code line-by-line or all at once with ctrl + Enter shortcut, which is very useful for debugging.
• Mostly, I like that it is also a great tool for teaching and practicing machine learning.

Negative: • It gets buggy at times, and takes some time to load initially.
• Can be slow even on high speed networks.
• The interface is pretty old fashioned.