发现、联系、增长

Microsoft Reactor

加入 Microsoft Reactor 并实时与初创公司和开发人员互动

是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

发现、联系、增长

Microsoft Reactor

加入 Microsoft Reactor 并实时与初创公司和开发人员互动

是否准备好开始使用 AI？  Microsoft Reactor 提供活动、培训和社区资源，以帮助初创公司、企业家和开发人员利用 AI 技术打造新业务。快加入我们吧！

Blast off with Python Series: Setting up your development environment

6 十月, 2021 | 4:00 下午 - 5:00 下午 (UTC) 协调世界时

形式:
直播

主题: 编码、语言和框架（包括 GitHub 和 AI 编码）

语言: 英语

Get started with Python in this beginners series. No need for previous Python experience, although some programming exposure would help. I’ll dive through some of the modules in the Python First Steps Learning Path, where I’ll cover all the basics of Python and end up with a fully functional Python project at the end.
To view the series event calendar, visit: https://aka.ms/BlastOffwithPythonSeries

For additional info on Python check out these modules: https://aka.ms/PythonLanguage_youtube & https://aka.ms/pythonfirststeps6

In this session we will get your environment ready with everything you need to start writing Python code in the friendliest way. I’ll show you how to configure a text editor and get all the linters and helpers set up to help you deliver robust code in less time.
To follow along, use this free learn module: https://aka.ms/InstallVSCode6

Instructor: Alfredo Deza, Cloud Advocate, Microsoft
Alfredo is a passionate cloud advocate, software engineer, speaker, author, and former Olympic athlete. With almost two decades of DevOps and software engineering experience, he teaches Machine Learning Engineering and gives lectures around the world about software development, personal development, and professional sports.
He has written several books about DevOps and Python including Python For DevOps and Practical MLOps. He continues to share his knowledge about resilient infrastructure, testing, and robust development practices in courses, books, and presentations.
https://www.linkedin.com/in/alfredodeza/
https://github.com/alfredodeza
https://paiml.com/docs/home/books/minimal-python/