Maybe it’s because I am working with database data and not CSVs, but my hope is that I am missing something, and there is more functionality I am just not seeing. My question is, am I missing something that’s out on the market for python which gives the same great functionality of R Studio? I guess when I heard about Jupyter Lab I assumed it would have some of this functionality but in my brief experience it doesn’t seem to. The ability to review data used in the code, understand values and functions, and generally get a lay of the land with the code your writing seems far superior to what is out there with python IDE’s. There's a number of vendors offering Jupyter notebooks as a managed service. Its interface allows you to navigate using your mouse with dropdown menus and buttons, or by keyboard. However, in my experience with R (that candidly isn’t super extensive) I can’t help but be impressed by the R Studio capabilities. Neptune-notebooks extension lets you: Click a button to send or download notebook checkpoint to and from Neptune Compare checkpoints in Neptune and share them. Jupyter JupyterLab Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. As weve seen, Jupyter Notebook files are very useful. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. Basically, Jupyterlab is the new generation user interface for executing and editing notebook documents, just similar to the Jupyter notebook. JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. I also love the concept of interactive blocks of code with Jupyter Notebooks, and the power it gives you to prototype and explore, share and collaborate. JupyterLab: A Next-Generation Notebook Interface. I like the user interface and it suits my needs for getting stuff done quick. ![]() I’m a python guy and do most of my development in Visual Studio Code. JupyterLab: A Next-Generation Notebook Interface. One of the improved capabilities of JupyterLab is its ability to open large csv files in a excel-like nice looking interface. ![]() Hoping some folks out there in Reddit-ville could help me wrap my head around Jupyter Lab a bit. As JupyterLab is very flexible, you will be able to open pretty much any file by double clicking on it: notebooks, images, text files, json files, csv files, and much more.
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