JupyterHub 6.0

JupyterHub 6.0 By Serena Bonaretti and Min Ragan-Kelley JupyterHub is a collection of tools that provides standardized, user-friendly computing environments for education and research. Today, we’re …

JupyterHub 6.0 By Serena Bonaretti and Min Ragan-Kelley JupyterHub is a collection of tools that provides standardized, user-friendly computing environments for education and research. Today, we’re …

JupyterLab 4.6 and Notebook 7.6 are out! JupyterLab 4.6 features new interface customization options, improved file browser and debugger, an easy way to jump between recently edited cells, and …
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JupyterLab 4.5 and Notebook 7.5 are available! JupyterLab 4.5 has been released! This new minor release of JupyterLab includes 51 new features and enhancements, 81 bug fixes, 44 maintenance tasks and …
Codes/Notebooks for AI Projects. Contribute to Marktechpost/AI-Tutorial-Codes-Included development by creating an account on GitHub.

In this article, we will explore seven different Jupyter Notebook extensions that will improve your work.

JupyterLab 4.4 has been released! This new minor release of JupyterLab includes 28 new features and enhancements, 76 bug fixes, 63 maintenance tasks and 34 documentation improvements. There were 56…
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You cannot share Jupter Notebook's ipynb files with everyone. However, if you convert it to PDF, sharing becomes easier. Here's how to do it.
JupyterLab 4.3.0 and Notebook 7.3.0 have been released! These new minor releases include many enhancements and bug fixes.

The digital age demands for automation and efficiency in the domain of software and applications. Automating repetitive coding tasks and reducing debugging time frees up programmers' time for more strategic work. This can be especially beneficial for businesses and organizations…
JupyterLab 4.1 and Notebook 7.1 are now available! These releases include several new features, bug fixes, and enhancements for extension…
I trying to use virtualenv on jupyter notebook, to use all packages installed in an environment, but inside jupyter they are not recognized. Already tried: pip install tornado==4.5.3 pip install

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Do you use Python, Pandas, and Seaborn to collect, analyze, and plot data? Then you'll be amazed by what ChatGPT can do, when using ChatGPT+, GPT-4 model, and the plugin for Noteable's version of Jupyter notebooks. [UPDATE/NOTE: This was my first summary of Noteable and ChatGPT…
A much overlooked way to save some time.

Unlock the full potential of Jupyter Notebook with expert tips and techniques, including time-saving shortcuts, powerful magic functions, and advanced features, to boost your productivity.
Voilà turns Jupyter notebooks into standalone web applications
An Introduction to the PyGWalker Library for Easy Data Visualisation
We are pleased to announce a major update to JupyterLab Desktop which adds many new features with main focus on the user experience…

Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.

I have to conclusion how to setup MongoDB (NoSQL) with Jupyter Notebook by summary step like...

Project Jupyter provides a broad collection of open-source tools for interactive computing that has become ubiquitous in data science and…

Write, test, document, and distribute software packages and technical articles — all in one place, your notebook.
Create delightful software with Jupyter Notebooks

Explore the Jupyter Notebook beyond its traditional use. Discover 8 alternative ways to utilize this versatile tool, making it even more powerful for coding, experimentation, and collaboration.
How to create parameterized Jupyter Notebooks with Papermill
R kernel for Jupyter.
Practical tips to enhance your workflow documentation
I love Jupyter notebooks and the power they provide.They can be used to present findings as well as share code in the most effective manner which was not easy with the previous IDEs.Yet there is something still amiss.There are a few functionalities I aspire in my text editor…
IPython is a powerful Python REPL that gives you tab completion, better tracebacks, multiline editing, and several useful features on top…

All good things (must) come to an end to make way for something better.
If you're doing data science in Python, notebooks are a powerful tool. This free Jupyter Notebooks tutorial has will help you get the best out of Jupyter.
Essential extensions that will boost your productivity in Jupyter Notebook.
Jupyter notebooks are mostly known for their web-based user interface, such as JupyterLab or the Classic Notebook. They offer a great user…

Not only Jupyter, Google Colab, R Markdown, and much more.
for beginners as well as advanced users

JupyterLab moves closer to becoming a full-fledged IDE with xeus-python.