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In a regular meeting report at work, a colleague introduced ipython notebook. I thought it was very cool at the time, but gradually I realized how powerful it was when I used it myself. Let me introduce to you what IPython notebook is.
Jupyter Notebook is an open source web application that allows users to create and share documents containing code, equations, visualizations, and text.
Its uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, etc.
IPython notebook has now become an important tool for teaching, computing, and scientific research using Python.
It has the following advantages:
Selectable languages: supports more than 40 programming languages, including Python, R, Julia, Scala, etc.
Share notebooks: Share with others using email, Dropbox, GitHub, and Jupyter Notebook Viewer.
Interactive output: The code can generate rich interactive output, including HTML, images, videos, LaTeX, and more.
Big data integration: Use big data framework tools such as Apache Spark through Python, R, and Scala programming languages. Supports using pandas, scikit-learn, ggplot2, and TensorFlow to explore the same data.
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