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.

Data Visualization - Plotly and Cufflinks. Plotly is a library that allows you to create interactive plots that you can use in dashboards or websites (you can save them as html files or static images) ...

There are a number of cloud services that can help you visualize data, but few that I know of that try to excel in both visualization and statistical analysis — without any sort of desktop ...

Plotly recognized for its innovative use of AI in data app developmentMONTREAL, May 13, 2025 (GLOBE NEWSWIRE) -- Plotly, the premier Data App platform for Python, has been named a Bronze Stevie ...

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 ...

numpy: A scientific computing for Python, used in our project for math and generating random numbers. seaborn: a Statistical data visualization based on matplotlib, we will be using it to load ...

It’s common for us to work on these projects using Jupyter notebooks because they’re great, fast, simple, and they allow us to interact and play with our data. How to build interactive data ...