Overview

Teaching: 20 min
Exercises: 0 min

Questions

• What else can I do next?

• How should I go about improving my Python skills?

Objectives

• Outline some potential next steps for developing Python skills.

• Describe some pitfalls when working with Generative AI.

Key Points

• Tapping on the rich Python ecosystem allows us to easily cover a wide range of use cases.

• The concepts covered in this workshop are basic and underpins almost all programming languages.

• Learn the concepts, then the syntax.

• Generative AI can help improve programming efficiency, but it is not a substitute for being a proficient programmer.

🎓 Wrapping Up the Workshop

Congratulations on making it to the end of this two-day workshop! 🚀 Over the last sessions, we’ve covered a lot of ground:

1. How data moves across the internet, and how to fetch information from an API.
2. How to handle different data types (numbers, strings, dates) and use conditional logic.
3. How to write functions, use loops, and handle errors gracefully.
4. And finally, how to read and write files, giving your programs a way to save and load information.

If there’s one thing to take away, it’s this: Python is not an intimidating language. At its core, it’s just about breaking problems into small steps and expressing them in code.

🌱 What’s Next?

Your Python journey doesn’t end here. In fact, this is just the start! Here are some key ideas to keep in mind: 🧩 Tap into the ecosystem → Python has a library for almost anything: data analysis (pandas), machine learning (scikit-learn), web development (Flask, Django), automation (requests, BeautifulSoup), and more. With the rise of Generative AI 🤖 , you can quickly build prototypes and write codes. The task of a programmer/developer is increasingly shifting from writing codes to mapping requirements to codes, debugging and validating codes.

👩‍💻👨‍💻 So go forth into the brave new world of Python programming — you’ve taken your first big step!

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