If you have followed my WSL guide, you would have seen Ubuntu terminal by now. We will set up our Jupyter environment by creating a new Jupyter Notebook. I am using the former - Windows Subsystem for Linux (WSL) on Windows plus VS Code. To set up your environment, you can either use a combination of WSL and VS Code, or Windows 10 with VS Code. 🛠️ Set up our environment - Create a Jupyter Notebook 🧰Additional resources for continued learning.🤝 Python Interactive - A Mix of Jupyter Notebook & Python Script.🔥 Key Features of Jupyter Notebook Editor.⚙️ Work with code cells in the Notebook Editor.🛠️ Set up our environment - Create a Jupyter Notebook.The post is written exclusively for the beginners in tech.
This blog post is a step-by-step guide to set up and use Jupyter Notebook in VS Code Editor for data science or machine learning on Windows. You can easily set up and use Jupyter Notebook with Visual Studio Code, run all the live codes and see data visualizations without leaving the VS Code UI. 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.
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