Use AI in healthcare without breaking HIPAA. Learn a safe workflow with MLJAR Studio, data anonymization, and practical examples to protect patient data and stay compliant.
Generate structured AutoML reports in Python that are easy to parse, LLM-friendly, and perfect for notebooks and automated analysis.
Compare the best AI coding assistants for data science in 2026: MLJAR Studio, GitHub Copilot, Cursor, Julius.ai, Deepnote, Hex, and ChatGPT. Pricing, privacy, offline capability, and AutoML — all in one guide.
Discover modern data analysis tools for pharmaceutical research, including private AI workflows and practical examples with MLJAR Studio.
Learn how AutoResearch by Andrej Karpathy works and how autonomous AI agents can run machine learning experiments. See a practical implementation with AutoLab.
Learn offline data analysis workflows in 2026. Compare local vs cloud, improve privacy, and use private AI tools for secure analytics.
Learn machine learning basics in this beginner-friendly guide. Understand key concepts, algorithms, and how to start building models with modern tools.
Learn the difference between Artificial Intelligence, Machine Learning, and Data Science. A practical guide with examples, workflows, and MLJAR tools.
Discover the essential Python libraries for modern data science in 2026—from NumPy and pandas to AutoML systems like mljar-supervised and AI-native environments like MLJAR Studio.
Discover how to use a private PyPI server for secure Python package installation via terminal, Jupyter Notebook, and Jupyter Package Manager.
Learn how to build a ChatGPT-style GIS application in a Jupyter Notebook using Python, geemap, OpenStreetMap, Mercury and a local LLM.
Explore practical AutoML projects using 10 popular datasets for binary classification, multiclass classification, and regression tasks. Learn how to effectively use MLJAR AutoML in Python notebook.
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.
Learn the top programming languages for Data Science! Discover how Python, R, and SQL help with data analysis, visualization, and machine learning. Find out which one suits your needs best!
In this post, I will explore the evolution of no-code data science, discuss its benefits and pitfalls, and introduce a solution I am building to simplify data analysis for everyone.
Learn how to install Python packages with pip, manage virtual environments, and handle dependencies in scripts and Jupyter notebooks.
Compare Python packages for data visualization, including Matplotlib, Seaborn, Plotly, and more. Learn their features, strengths, and best use cases to find the ideal tool for your data projects.
Learn 4 effective ways to visualize LightGBM trees in Python, including feature importance, tree plots, and interactive options.
Learn 4 practical ways to visualize Random Forest models in scikit-learn, including tree plots and feature importance analysis.
Learn 4 effective ways to visualize XGBoost trees in Python, from built-in plotting to detailed tree inspection workflows.
We make Python notebooks accessible with REST API. Custom ChatGPT can use actions to execute Python notebooks. You can easily turn any Python code into API available in the ChatGPT
Let us introduce you Invoice Generator, which was created only with Mercury's widgets in Python.
Learn 3 practical ways to convert Jupyter Notebook to Python scripts, including GUI export, nbconvert, and jupytext workflows.
Explore the pyTZ Python package, a implementation of the tz database, to list 594 available timezones. Learn how to access and utilize timezones beyond the tz database.
Learn how to build automated PDF reports in Python with Jupyter and Mercury, including scheduling, charts, and email delivery workflows.
Learn how to detect and monitor data drift in Python with a dashboard workflow for reliable model performance over time.
Learn how to create a dashboard in Python with Jupyter Notebook, including interactive components and sharing options.
Easily send emails from Python using the send_email() function, simplifying the process with built-in packages smtplib and email. Ideal for automation and notification applications.
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.
Learn how Python virtual environments work to manage dependencies, avoid conflicts, and ensure smooth execution of scripts. Avoid broken dependencies and enhance your Python development experience.
