![]() ![]() This makes it perfect for data cleaning, statistical modeling, creating or training machine learning models, and other necessities. Jupyter Notebooks have become one of the most popular tools among data scientists.īasically, Jupyter Notebook is used for providing an environment wherein you can run your code, look at the outcome, visualize the data, and can analyze the result without leaving the environment. It is an open-source web application that allows data scientists to create and share codes or documents or full-blown reports. In a nutshell, it is online notebooks that are versatile, powerful, sharable, and can perform data visualization in the same environment. ![]() ![]() It has evolved from IPython notebooks and comprises tools for collaboration that allows programmers to work together more efficiently. With this, you can create and share documents containing live codes, visualizations, equations, and narrative texts.Īlthough, Jupyter Notebook has never become the buzzword like AI, PWAs, or data science it has revolutionized the way engineers and data scientists used to work together. Jupyter, an acronym meaning Julia, Python, and R is an open-source web application or tool which allows you to explore share, and discuss the data. Data is of no use if you can’t turn it into insights if you can’t analyze it if you can’t explore or share it. ![]()
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