Python is great for data exploration and data analysis and it’s all thanks to the support of amazing libraries like numpy, pandas, matplotlib, and many others.

Ubuntu is favored for its stability, security, and compatibility with a wide range of data science tools. It provides a robust environment for developing and deploying data visualization applications.

MONTREAL, Nov. 23, 2021 (GLOBE NEWSWIRE) -- Plotly Technologies, the Montreal-based company that brought interactive, scientific data visualization to the web browser through its open-source ...

The Fall release of Dash Enterprise introduces a new offering, Plotly App Studio, enabling anyone working with Python scripts or Jupyter Notebooks to easily create and publish professional ...

Welcome to Python for Data Science About. This is a collection of my personal notes for Data Visualization in Python. Originally I had kept these in a collection of Jupyter notebooks, but it will be ...

Plotly has released details about Plotly App Studio, a tool designed to simply data app development. The company says it empowers data teams to autogenerate and share interactive data applications ...

Join us for an engaging webinar that showcases how Plotly AI in Dash Enterprise is revolutionizing data visualization and analysis for data analysts and database professionals alike. Discover how the ...

MONTREAL, May 06, 2025 (GLOBE NEWSWIRE) -- Plotly, the premier Data App platform for Python, today announced it will participate in multiple leading industry events in May and June, 2025, where Plotly ...