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It has the benefit of quick feedback, live exploration of variables and plots, and easy of changing and debugging of the terminal, while having ...

I also use it for reports. I wouldn't use it as a main IDE. 3. level 1. Divisible-by-zero. · 5y. I use Anaconda, which includes IPython in the stack. They have a proper Python IDE, Spyder, which integrates into the IPython kernel quite nicely. Idea being, you develop your experiments in Spyder then "perform" them in a notebook.

Jupyter Notebook is quite efficient for quick prototyping and analysis of data. For example, if you just want to make certain charts from a ...

I also use it for reports. I wouldn't use it as a main IDE. 3. level 1. Divisible-by-zero. · 5y. I use Anaconda, which includes IPython in the stack. They have a proper Python IDE, Spyder, which integrates into the IPython kernel quite nicely. Idea being, you develop your experiments in Spyder then "perform" them in a notebook.

I do already have PyCharm installed, and I used it when I was learning the basics. I think in online communities here on reddit, I think I read ...

Jupyter Notebook for me is to quickly test ideas, to do analysis (especially when you're doing Machine Learning), or to make a quick prototype ...

Jupyter makes it easier to inspect intermediate values when you have a large array of data flowing through a series of expressions. This is ...

Jupyter notebooks are a way of embedding ready-to-execute python code with markdown documentation, images, and other such things, all in one file, as well as a program for presenting and running them.

For these I use the Jupyter notebook because it is easy to work in an incremental manner. I get one little few-line part working, then move on to the next. I can easily see what the result of each part is, go back and change parts, without changing others, re-run as much or as little as I want, re-arrange things, test performance of different ...

r/IPython: If you have a question about IPython, (now Jupyter) the programming ... The time and place for Jupyter notebooks in Data Science projects.

Lots of questions in this subreddit have to do with career advice or discussing the job market, but I want to do something more fun. I'm a senior majoring in Computer Science but have taken a plethora of data science courses offered at the undergrad level at my university (some classes intertwine with master's level courses) and I wanted to share and see if other students have similar ...

Jupyter notebooks are a way of embedding ready-to-execute python code with markdown documentation, images, and other such things, all in one ...

Shows the Silver Award... and that's it. Gives 100 Reddit Coins and a week of r/lounge access and ad-free Thank you stranger. Shows the award.

Also, to present/share/explain solutions step by step. 2. level 1. tunisia3507. 2 years ago. Jupyter notebooks are a way of embedding ready-to-execute python code with markdown documentation, images, and other such things, all in one file, as well as a program for presenting and running them.

I often use Jupyter Notebook (over the Python console) simply because it is far easier to play with code, and when it doesn't work (and that is often) I can go back and edit it easily - and re-execute. And once my code snippet does what I expects - I can then copy/paste into my production code. 8 level 1 TheBlackCat13 + 1 · 4y

I don’t use Jupyter notebook as a main IDE but it’s very useful for experimenting with code, exploring data, or writing a an actual .py script. A couple of your points are inaccurate. Notebook does have code navigation with Shift + Tab. A hover bubble pops up that you can expand to see a particular function’s documentation.

This lesson introduces Jupyter Notebooks, an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text. You’ll see reasons to use Jupyter Notebooks and what features they offer.

Jupyter Notebook for me is to quickly test ideas, to do analysis (especially when you're doing Machine Learning), or to make a quick prototype of a pipeline, but as others said it's not an IDE. In truth, Jupyter Notebook is just an interface that renders the interactive IPython console.

They are widely used in Data Science, Market Research and the Sciences in general. They allow you mix narrative text with results in a way which ...

I get that Jupyter Notebooks have the advantage that you can put plain text for others (or yourself later) to read and can have plots right in ...

Everyone uses Jupyter Notebooks because everyone uses Jupyter notebooks. Adobe was smart enough back in the early 2000's to look the other way when photoshop was being pirated by students. The more new people coming in that learn your product, the more you can be certain your brand will still be in the market for the next generation too.