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所在平台: Udemy |
课程主页: https://www.udemy.com/course/jupyter-notebook-frameworks/
课程评论：没有评论
课程名称：10天学会10个Jupyter笔记本框架 课程概述：这个高质量的实践课程将帮助您理解使用Jupyter笔记本的基础知识。您将了解Jupyter Notebook背后的历史，以及当今所有基于这一免费开源项目的现代产品。我将介绍至少10个不同的应用，并帮助您更进一步，如果您希望在其中某个领域成为专家。 10个基于Jupyter的框架包括： - Jupyter Notebook：基于IPython的免费开源项目的起源。 - Project Jupyter：围绕Jupyter Notebook的其他免费开源应用的生态系统，包括JupyterLab。 - Anaconda Cloud：基于JupyterLab的免费云解决方案。 - Amazon Studio Lab：一个免费GPU云托管解决方案，作为知名的商用SageMaker的替代品。 - Google Colab：谷歌提供的另一种实用替代方案，带有免费GPU支持。 - Kaggle：数据科学竞赛的社交网络一站式平台。 - Hex：当前所有Jupyter产品中最现代和优雅的网页用户界面。 - Deepnote：另一个有趣的第三方托管解决方案，具有无代码小部件的Jupyter笔记本。 - JetBrains Datalore：来自ReSharper和PyCharm背后的公司的实用笔记本云环境。 - Snowflake Notebooks：当代码必须在接近大数据存储的地方执行时的解决方案。 最后一章将为您提供Markdown语言的快速入门培训。在学习过程中，您将接触到Jupyter的历史以及其他许多没有被纳入课程的笔记本产品。 讲师介绍：该课程由一位经验丰富的云解决方案架构师和数据库专家授课。讲师拥有30年以上的专业经验，既有全职员工的背景，也有独立合同工的经历。他是Snowflake的世界级专家，曾被誉为Snowflake的“数据超级英雄”，并且是SnowPro认证的主题专家。他在2-3年内通过了40多项认证考试，全是一次性通过。此外，讲师在AWS、Azure和GCP方面拥有超过20项认证，在数据科学和机器学习方面拥有近20项认证，以及在数据分析和大数据方面拥有超过十项认证。 学习Jupyter笔记本看似简单，但要真正掌握它们却并非易事。尤其在当今，跟上各种先进现代的笔记本框架变得越来越困难。因此，让我帮助您在这一领域迅速获取基础和中级知识。
This original high-quality hands-on course will help you understand the basics of experimenting with Jupyter notebooks. You'll learn about the history behind Jupyter Notebook, and all modern products today which are in fact based on this free and open-source project. I'll introduce you to at least 10 different applications, and help you move further, if you want to become indeed an expert in any of them.The 10 Jupyter-based FrameworksJupyter Notebook - the free open-source project based on IPython that started all.Project Jupyter - an ecosystem of other free open-source applications around Jupyter Notebook, including JupyterLab.Anaconda Cloud - a free cloud-based solution based on JupyterLab.Amazon Studio Lab - a free GPU-based cloud-hosted solution, as an alternative to the commercial but famous SageMaker.Google Colab - another practical alternative, with free GPU offerings, from Google.Kaggle - the one-stop social network for Data Science competitions.Hex - the most modern and classy web UI from all Jupyter-based products today.Deepnote - another interesting third-party hosted solution of no-code widgets in Jupyter notebooks.JetBrains Datalore - a practical notebook-based cloud environment from the company behind ReSharper and PyCharm.Snowflake Notebooks - when code must be executed closer to where your big data is stored.A last chapter will offer you a quick bootcamp in the Markdown language. And along the way you'll be exposed to the history behind Jupyter, as well as dozens of other notebook-based products that didn't make the cut.Who Am IExperienced Cloud Solutions Architect and Database expert.Over three decades of professional experience, as both a full-time employee and independent contractor.Snowflake world-class expert, former Snowflake "Data Superhero" and SnowPro Certification SME.I passed over 40 certification exams in 2-3 years alone, all from the first attempt.Over 20 certifications in AWS, Azure and GCP.Almost 20 certifications in Data Science and Machine Learning.Over a dozen of certifications in Data Analytics and Big Data.Learning Jupyter notebooks may seem easy. And you will need to learn about them, make no mistake. However, today it became truly difficult to keep up with all sorts of advanced and modern frameworks using notebooks. They come up with many data integrations, no-code widgets, application builders, artificial intelligence assistants and other advanced features.Allow me to help you out with this domain, to acquire basic and intermediate knowledge in this area in no time.
