Team at plotly excitingly announces the biggest release of plotly pythonic interface, plotly.py 3.0. This new release comes with great support to Jupyter and Jupyterlab environment, imperative manipulation techniques, animation transition, lots of performance improvements and bug fixes.
Plotly is an interactive data analysis and live graphing library. The Python API allows you to access all of Plotly’s functionality from Python. The advantage of plotly is its collaborative features through which one can share, track and edit the graph real-time over web. This library is developed on the renowned JavaScript library, plotly.js equipped with numerous charts and plots such as line plots, heatmaps, histograms, bubble charts etc.
plotly.py is considered to be a high-performance charting library through which one can plot data across different charts and graphs such as 3D graphs, statistical charts, financial charts, scientific charts and more. To know more on its different styled charts and custom control options, read the official documentation.
15 Useful Python Libraries to make your Data Science tasks Easier
I remember deciding to pursue my first IT certification, the CompTIA A+. I had signed…
Key takeaways The transformer architecture has proved to be revolutionary in outperforming the classical RNN…
Once we learn how to deploy an Ubuntu server, how to manage users, and how…
Key-takeaways: Clean code isn’t just a nice thing to have or a luxury in software projects; it's a necessity. If we…
While developing a web application, or setting dynamic pages and meta tags we need to deal with…
Software architecture is one of the most discussed topics in the software industry today, and…