Lecture-3 Types of Functions in Python and Use of Jupyter Notebook

📚 Python Essentials for Data Science – Practical Training Series

In this session, we dive into one of the core components of Python programming—Functions. You'll learn about:

✅ Built-in Functions – Ready-to-use functions like print(), len(), type(), etc.
✅ User-Defined Functions – How to create and use your own custom functions using the def keyword.
✅ Lambda Functions – One-line anonymous functions perfect for quick tasks.
✅ Recursive Functions – Functions that call themselves for problems like factorials or Fibonacci series.
✅ Higher-Order Functions – Functions that take other functions as arguments or return them as results.

🔍 Alongside this, we explore how to effectively use Jupyter Notebook – a powerful open-source tool for writing, testing, and visualizing Python code interactively.

✨ Whether you're new to Python or brushing up your skills, this hands-on session will equip you with practical knowledge and real-world use cases.

🔗 Join us live and follow along as we code and explore Python interactively!

📌 Don’t forget to like, comment, and subscribe for more updates on the complete series.

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Видео Lecture-3 Types of Functions in Python and Use of Jupyter Notebook канала MTTF Live