Do you have what it takes to be a multi-sport developer?

If you're a .NET developer, you’ve likely encountered Python in data science, artificial intelligence (AI), DevOps, cybersecurity, and other development projects. If you don’t know Python, you should probably add learning it to your training regimen. Thanks to the rapid growth of data science, machine learning, and AI, Python is currently the most popular programming language. It’s the programming world’s version of a rising all-star - versatile, powerful, and dominant, where productivity and flexibility matter.

Like an athlete cross-training for a new event, learning a new language can be intimidating, especially if you don’t know where to begin. This session is designed to help .NET developers get productive in Python quickly, using tools you are already familiar with and connecting the dots between the two ecosystems and languages.

We'll explore key differences and similarities in syntax, structure, and types - then dive into examples that show how to:
• Translate common C# programming patterns to Python
• Work with popular libraries like pandas, requests, and more
• Develop in familiar environments like VS Code and explore Jupyter Notebooks
• Avoid common pitfalls when moving between languages
• And interact across your Python and .NET projects

Whether you’re building AI models, automating infrastructure, or exploring data pipelines, Python is an important skill for the modern developer. Think of this session as your training ground to become a well-rounded, multi-sport developer, ready to compete in any event the industry throws your way.