You can easily explore data using the popular Python libraries such as pandas, scikit-learn, ggplot2, TensorFlow. The Jupyter Notebook is a web app that lets you easily create and share documents that contain your live source code, markdown text, equations and visualizations - all in one canvas called a Notebook. It supports dozens of programming languages such as Python, R, Scala, Spark, and Julia.ĭata scientists use Jupyter Notebooks for several tasks - data analysis, cleaning, transformation, modelling, visualizations, machine learning, and so on. JupyterLab, Jupyter Notebook, and Jupyter Hub are the three key open source software developed by the team. It develops software and web applications to support interactive data science and scientific computing. Project Jupyter is a non-profit, 100% open-source project. This blog post is based on my personal experience. Don't forget to subscribe to my weekly Newsletter □ Follow the updates here : Learn Python Step by Step - A Blog Series by Me □. ![]() All of them will be focused on the beginners to get them started with Python for Data Science. I will write several blog posts on Python. Originally published on my blogging site v
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