Autogenerated, editable layouts: Plotly App Studio creates fully functional data apps populated by data and graphs from a Python script or Jupyter Notebook.

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. During our data exploration and ...

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 ...

Install Plotly using pip: pip install plotly Setting Up a Development Environment: Recommended IDEs and Tools: Popular Integrated Development Environments (IDEs) for Python development include PyCharm ...

The course begins with an introduction to Python and the general syntax of the language. We then move on to (i) working with the data science libraries in Python such as NumPy (for linear algebra) and ...

The Python graph library, plotly.py has reached version 3.0.0, which the team describes as its largest release so far. Plotly.py 3.0.0 adds a new Jupyter widget class that is made specifically for ...

Jupyter Notebook benefits Originally developed for data science applications written in Python, R, and Julia, Jupyter Notebook is useful in all kinds of ways for all kinds of projects: ...