JupyterLab: A Next-Generation Notebook Interface
Juypter notebooks are becoming more and more popular within the data science field and is an important tool you must learn if you are in data science field . Free-browser based Jupyter Notebook . JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and machine learning. A modular design invites extensions to expand and enrich functionality.
Language of choice
Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
Share notebooks
Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer.
Interactive output
Your code can produce rich, interactive output: HTML, images, videos, LaTeX, and custom MIME types.
Big data integration
Leverage big data tools, such as Apache Spark, from Python, R, and Scala. Explore that same data with pandas, scikit-learn, ggplot2, and TensorFlow.
You can get more details through this video
You can try through this link.
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