Jupiter notebook

What is Jupyter Notebook? The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. This article will walk you through how to use Jupyter Notebooks for data science projects and how to set it up on your local machine. First, though: what is a “notebook”? A notebook integrates code and its output into a single document that combines visualizations, narrative text, mathematical equations, and other rich media. In other words: it's a single document where you can run code, display the output, and also add explanations, formulas, charts, and make your work more transparent, understandable, repeatable, and shareable. Using Notebooks is now a major part of the data science workflow at companies across the globe. If your goal is to work with data, using a Notebook will speed up your workflow and make it easier to communicate and share your results. Best of all, as part of the open source Although it is possible to use many different programming languages in Jupyter Notebooks, this article will focus on Python, as it is the most common use case. (Among R users, How to Follow This Tutorial To get the most out of this tutorial you should be familiar with programming — Python and Jupyter Notebooks can also act as a flexible platform for getting to grips with pandas and even Python, as will become apparent in this tutorial. We will: • Cover the basics of installing Jupyter and creating your first notebook • Delve deeper and ...

Python Tutorials → In-depth articles and video courses Learning Paths → Guided study plans for accelerated learning Quizzes → Check your learning progress Browse Topics → Focus on a specific area or skill level Community Chat → Learn with other Pythonistas Office Hours → Live Q&A calls with Python experts Podcast → Hear what’s new in the world of Python Books → Round out your knowledge and learn offline Unlock All Content → • Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Using Jupyter Notebooks The Jupyter Notebook is an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text. Jupyter Notebook is maintained by the people at Jupyter Notebooks are a spin-off project from the IPython project, which used to have an IPython Notebook project itself. The name, Jupyter, comes from the core supported programming languages that it supports: Julia, Python, and R. Jupyter ships with the IPython kernel, which allows you to write your programs in Python, but there are currently over 100 other kernels that you can also use. Free Bonus: Getting Up and Running With Jupyter Notebook The Jupyter Notebook is not included with Python, so if you want to try it out, you will need to install Jupyter. There are many distributions of the Python language. This article will focus on just two of them for the purpo...

Important The Jupyter Notebooks feature of Azure Cosmos DB is currently in a preview state and is progressively rolling out to all customers over time. Jupyter Notebooks is an open-source interactive developer environment (IDE) that's designed to create, execute, and share documents that contain live code, equations, visualizations, and narrative text. Azure Cosmos DB built-in Jupyter Notebooks are directly integrated into the Azure portal and your Azure Cosmos DB accounts, making them convenient and easy to use. Developers, data scientists, engineers, and analysts can use the familiar Jupyter Notebooks experience to perform common tasks. These common tasks include: • data exploration • data cleaning • data transformations • numerical simulations • statistical modeling • data visualization • machine learning Azure Cosmos DB supports both C# and Python notebooks for the APIs for NoSQL, Apache Cassandra, Apache Gremlin, Table, and MongoDB. Inside the notebook, you can take advantage of built-in commands and features that make it easy to create Azure Cosmos DB resources. You can also use the built-in commands to upload, query, and visualize your data in Azure Cosmos DB. Benefits of Jupyter Notebooks Jupyter Notebooks were originally developed for data science applications written in Python and R. However, they can be used in various ways for different kinds of projects, including: Data visualization Jupyter Notebooks allow you to visualize data in the form of a shared noteboo...

Project Jupyter Documentation Welcome to the Project Jupyter documentation site. Jupyter is a large umbrella project that covers many different software offerings and tools, including the popular computational notebooks. What is a Notebook? Pictured: A computational notebook document, shown inside JupyterLab A notebook is a shareable document that combines computer code, plain language descriptions, data, rich visualizations like 3D models, charts, graphs and figures, and interactive controls. A notebook, along with an editor (like JupyterLab), provides a fast interactive environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas with others. Where do I start? Most people begin with Jupyter by installing an editing application that fits their preferences, like • Jupyter Notebook offers a simplified, lightweight notebook authoring experience • JupyterLab offers a feature-rich, tabbed multi-notebook editing environment with additional tools like a customizable interface layout and system console • And more… read about additional notebook interfaces here! You can also develop your own extensions or applications on top of existing Jupyter software. Check out the subproject sites below for more information. More information These are a few high-level topics to help you learn more about the Jupyter community and ecosystem. Get started with Jupyter Notebook Try the notebook Community Sustainability and growth Architecture What is Jupyter? C...

Project Jupyter Documentation Welcome to the Project Jupyter documentation site. Jupyter is a large umbrella project that covers many different software offerings and tools, including the popular computational notebooks. What is a Notebook? Pictured: A computational notebook document, shown inside JupyterLab A notebook is a shareable document that combines computer code, plain language descriptions, data, rich visualizations like 3D models, charts, graphs and figures, and interactive controls. A notebook, along with an editor (like JupyterLab), provides a fast interactive environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas with others. Where do I start? Most people begin with Jupyter by installing an editing application that fits their preferences, like • Jupyter Notebook offers a simplified, lightweight notebook authoring experience • JupyterLab offers a feature-rich, tabbed multi-notebook editing environment with additional tools like a customizable interface layout and system console • And more… read about additional notebook interfaces here! You can also develop your own extensions or applications on top of existing Jupyter software. Check out the subproject sites below for more information. More information These are a few high-level topics to help you learn more about the Jupyter community and ecosystem. Get started with Jupyter Notebook Try the notebook Community Sustainability and growth Architecture What is Jupyter? C...

What is Jupyter Notebook? The Jupyter Notebook is an incredibly powerful tool for interactively developing and presenting data science projects. This article will walk you through how to use Jupyter Notebooks for data science projects and how to set it up on your local machine. First, though: what is a “notebook”? A notebook integrates code and its output into a single document that combines visualizations, narrative text, mathematical equations, and other rich media. In other words: it's a single document where you can run code, display the output, and also add explanations, formulas, charts, and make your work more transparent, understandable, repeatable, and shareable. Using Notebooks is now a major part of the data science workflow at companies across the globe. If your goal is to work with data, using a Notebook will speed up your workflow and make it easier to communicate and share your results. Best of all, as part of the open source Although it is possible to use many different programming languages in Jupyter Notebooks, this article will focus on Python, as it is the most common use case. (Among R users, How to Follow This Tutorial To get the most out of this tutorial you should be familiar with programming — Python and Jupyter Notebooks can also act as a flexible platform for getting to grips with pandas and even Python, as will become apparent in this tutorial. We will: • Cover the basics of installing Jupyter and creating your first notebook • Delve deeper and ...

Important The Jupyter Notebooks feature of Azure Cosmos DB is currently in a preview state and is progressively rolling out to all customers over time. Jupyter Notebooks is an open-source interactive developer environment (IDE) that's designed to create, execute, and share documents that contain live code, equations, visualizations, and narrative text. Azure Cosmos DB built-in Jupyter Notebooks are directly integrated into the Azure portal and your Azure Cosmos DB accounts, making them convenient and easy to use. Developers, data scientists, engineers, and analysts can use the familiar Jupyter Notebooks experience to perform common tasks. These common tasks include: • data exploration • data cleaning • data transformations • numerical simulations • statistical modeling • data visualization • machine learning Azure Cosmos DB supports both C# and Python notebooks for the APIs for NoSQL, Apache Cassandra, Apache Gremlin, Table, and MongoDB. Inside the notebook, you can take advantage of built-in commands and features that make it easy to create Azure Cosmos DB resources. You can also use the built-in commands to upload, query, and visualize your data in Azure Cosmos DB. Benefits of Jupyter Notebooks Jupyter Notebooks were originally developed for data science applications written in Python and R. However, they can be used in various ways for different kinds of projects, including: Data visualization Jupyter Notebooks allow you to visualize data in the form of a shared noteboo...

Python Tutorials → In-depth articles and video courses Learning Paths → Guided study plans for accelerated learning Quizzes → Check your learning progress Browse Topics → Focus on a specific area or skill level Community Chat → Learn with other Pythonistas Office Hours → Live Q&A calls with Python experts Podcast → Hear what’s new in the world of Python Books → Round out your knowledge and learn offline Unlock All Content → • Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Using Jupyter Notebooks The Jupyter Notebook is an open source web application that you can use to create and share documents that contain live code, equations, visualizations, and text. Jupyter Notebook is maintained by the people at Jupyter Notebooks are a spin-off project from the IPython project, which used to have an IPython Notebook project itself. The name, Jupyter, comes from the core supported programming languages that it supports: Julia, Python, and R. Jupyter ships with the IPython kernel, which allows you to write your programs in Python, but there are currently over 100 other kernels that you can also use. Free Bonus: Getting Up and Running With Jupyter Notebook The Jupyter Notebook is not included with Python, so if you want to try it out, you will need to install Jupyter. There are many distributions of the Python language. This article will focus on just two of them for the purpo...