Adopting and Deploying Polyglot Notebooks
Resources for Chapter 15 of Data Science in .NET with Polyglot Notebooks
Chapter 15 of Data Science in .NET with Polyglot Notebooks is the final chapter of the book and talks about ways of using Polyglot Notebooks in your current software engineering job as well as data analysis, machine learning, and artificial intelligence roles. This chapter also talks about GitHub Codespaces and embedding .NET Interactive inside of a Jupyter Notebook environment. The chapter and book closes with a discussion of AI and data science careers as well as ways of advancing into data science through practice and preparation.
Learn data science using ML.NET, OpenAI, and Semantic Kernel
Data Science in .NET with Polyglot Notebooks teaches experienced .NET devs the fundamentals of data science, machine learning, and AI orchestration. It covers topics like ML.NET, OpenAI, Semantic Kernel, career development, and more.
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Additional Resources
These resources and notes are likely to be helpful while reading Chapter 15 of Data Science in .NET with Polyglot Notebooks.
- Project Jupyter / Jupyter Notebooks
- JupyterLab
- Integrating .NET Interactive and Jupyter Notebooks
- Dev containers overview
- GitHub codespaces
- GitHub codespace administrationenabling-or-disabling-github-codespaces-for-your-organization
- GitHub codespace billing
- Dev container JSON formatting
- Adding a dev container
- What are dev containers
- Acing a Data Science Interview
- Data Science interview questions
- Cracking the Data Science Interview
- Recommended dockerfile and devcontainer.json settings
