Category: jupyter

Learn how to build a ChatGPT-style GIS application in a Jupyter Notebook using Python, geemap, OpenStreetMap, Mercury and a local LLM.

You can use OpenAI ChatGPT in Python notebook for advanced data analysis and visualization. When using ChatGPT inside notebook you can control code excution,

Learn how to use ChatGPT inside Jupyter Notebook with MLJAR Studio. You can use OpenAI ChatGPT for Python coding to perform data analysis and visualization.

Learn how Variable Inspector for JupyterLab helps track variable names, types, shapes, and values while you work in notebooks.

Learn how to simplify package management in JupyterLab! Jupyter Package Manager makes it easy to install, delete, and manage packages - no coding needed. Save time with this free extension!

Learn how to list installed packages in JupyterLab without using the terminal. Use a simple command or the Jupyter Packages Manager for a quick, no-code solution. Save time and code smarter!

Learn how to easily delete packages in JupyterLab without using the terminal. Use a simple command or the Jupyter Packages Manager for a quick, no-code solution. Save time and code smarter!

Discover two simple ways to install packages in JupyterLab without using the terminal. Learn how to use a notebook command or the Jupyter Packages Manager to save time and avoid errors.

Let's talk about keeping credentials in Jupyter Notebook and sharing those Notebooks with other users.

The article explores the competitive landscape of the US job market for Data Analysts, analyzing data from 15,963 job listings. A Jupyter Notebook is created to perform data analysis and visualization.

Compare 4 Jupyter Notebook flavors: Classic Notebook, JupyterLab, RetroLab, and JupyterLite, with practical use-case guidance.

Learn 3 practical ways to convert Jupyter Notebook to Python scripts, including GUI export, nbconvert, and jupytext workflows.

Convert your Jupyter Notebook presentation to an interactive presentation using the nbconvert tool and Reveal.js library.

Securely share your Jupyter Notebook analysis with selected individuals by learning three methods to add password protection. This ensures access only for authorized users to your valuable content.

Convert Jupyter Notebook presentations, created with Reveal.js for interactivity, into PDF slides. Explore two methods to easily export and share your data-rich presentations in a portable format.

Learn 4 ways to run Jupyter Notebook from the command line, including execution, parameterization, and automated reporting workflows.

Learn how to convert a Jupyter Notebook into a spaCy NLP web app with Python, including deployment and interactive workflow steps.

Learn three simple ways to hide code in Jupyter Notebook presentations, making it easy to share data-rich results without intimidating non-technical stakeholders with code.

Learn how to create parameterized presentations from Jupyter Notebook and build interactive slides powered by Python.

Learn how to create presentations from Jupyter Notebook and share data stories with charts, code, and narrative slides.

Learn how to schedule a Jupyter Notebook to run daily and automate reporting workflows with Python tools.

Learn five ways to schedule Jupyter Notebooks for regular updates, enabling easy sharing with your team. Explore options like local/cloud execution, UI, export to HTML/PDF, email sending, and more.

Share Jupyter Notebooks with non-technical users using HTML. Serve as a static website or send via email. Explore three simple ways to convert Jupyter Notebook to HTML.

Jupyter Notebook, a powerful tool for code and Markdown mixing, offers fast feedback for data analysis. This article explores various ways to install Jupyter Notebook on your local machine.

Build a Python dashboard with automatic updates, data monitoring, and notifications using Jupyter Notebook and Mercury.

Hide the Python code in your Jupyter Notebook to share results with non-technical users. Learn various approaches in this guide to make your analysis more accessible and less intimidating.

Enhance your Jupyter Notebook with visual appeal by learning various approaches to insert images. This post guides you on making your notebook more informative and attractive with inserted images.

Export your Jupyter Notebook to a PDF file using four different methods. PDF, a versatile format, allows easy sharing across operating systems. This post guides you through the exporting process.

Learn practical ways to share Jupyter Notebooks with non-programmers, including static exports and interactive web app options.

Style your Jupyter Notebook text effortlessly with Markdown or HTML syntax. Enhance your computational documents by blending code with formatted text.

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.

Compare 7 ways to run Jupyter Notebook online and choose the best option for collaboration, compute, and privacy needs.

Learn essential Jupyter Notebook keyboard shortcuts for Windows, Mac, and Linux, and improve daily notebook productivity.

Learn what the .ipynb file extension contains, how Jupyter notebooks are structured, and how to open or convert notebook files.

Compare two approaches to Jupyter Notebook widgets with practical examples using ipywidgets, Voila, and Mercury.

Enable file uploads in your Jupyter Notebook and share it as a web app with Mercury. Enhance collaboration by allowing coworkers to upload files for processing.

Easily share your Jupyter notebook as an interactive web app with the Mercury framework. Provide a user-friendly interface and hide code to make it accessible for non-programmers.