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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-path-jupyter-interactive-computing-with-jupyter/
课程评论：没有评论
**Coursera 课程总结：Jupyter：使用 Jupyter 进行交互式计算学习路径** 本 Coursera 学习路径旨在帮助您掌握 Jupyter Notebook，这是一个强大的开源 Web 应用程序，可用于交互式计算。无论您是想在一个环境中编写、执行和注解代码和公式，还是希望简化科学应用程序开发，本课程都能满足您的需求。 **课程亮点：** * **一站式解决方案：** 学习路径涵盖了您需要了解的关于 Jupyter Notebook 的所有内容，从入门到高级应用。 * **广泛的语言支持：** 掌握 Jupyter Notebook 与 Python、R、Julia、JavaScript 等超过 40 种编程语言的集成。 * **核心技能培养：** 学习安装 Jupyter、集成不同编程语言、掌握交互式小部件、命名空间管理以及多用户模式下的工作。 * **协作与分享：** 学会如何与同事分享您的 Notebook。 * **大数据应用：** 了解如何使用 Jupyter 访问大数据。 * **实践应用：** 最终您将能够在一个文档和 Web 浏览器中编写代码、计算数学公式、创建图形并查看输出。 **讲师简介：** * **Dan Toomey：** 拥有超过 20 年的应用开发经验，曾在不同行业和公司担任过各种角色，从独立贡献者到 VP/CTO。在过去的十年里，他一直活跃在马萨诸塞州东部地区作为一名合同开发者。 通过本学习路径，您将能够高效地进行科学计算，并利用 Jupyter Notebook 的强大功能提升您的工作效率。
Are you looking forward to write, execute, and comment your live code and formulae all under one roof? Or do you want an application that will let you forget your worries in scientific application development? If yes, then this Learning Path will surely help you out by provide all that you need to know to work with the Jupyter Notebook - a console-based approach to interactive computing! Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The Jupyter Notebook is an open-source web application that supports more than 40 programming languages including those popular in data science such as Python, R, Julia, and Scala. This Learning Path is a one-stop solution for all you want to know about the Jupyter Notebook. It will teach you everything you need to know to perform scientific computation with ease. This Learning Path starts with a brief introduction to Jupyter Notebook and its installation in different environments. Next, you will see how to integrate the Jupyter system with different programming languages such as R, Python, JavaScript, and Julia. Moving ahead, you will master interactive widgets, namespaces, and working with Jupyter in the multiuser mode. You will also see how to share your Notebook with colleagues. Finally, you will learn to access Big Data using Jupyter. By the end of the Learning Path, you will be able to write code, compute mathematical formulae, create graphics, and view the output, all in a single document and web browser, using the Jupyter Notebook. About the Author: For this course, we have combined the best works of this esteemed author: Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies in roles from the sole contributor to VP/CTO level. For the last 10 years or so, he has been contracting to companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corporation again as a contractor developer in the area.
