Python for Data Science Lecture 18 || Tuples Part 2

Welcome to Lecture 18 of our Python for Data Science series! In this session, we continue our deep dive into tuples, an essential data structure in Python. This is Part 2 of our comprehensive look at tuples.
🔍 Advanced Tuple Operations: Explore more complex operations and methods you can perform with tuples.
🛠️ Tuple Methods: Learn about the built-in methods available for tuples and how to use them effectively.
🔄 Nested Tuples: Understand how to work with nested tuples and their applications in data science.
📊 Unpacking Tuples: Discover how to unpack tuples into individual variables and why this is useful.
📝 Hands-On Examples: Follow along with practical examples and exercises to deepen your understanding of tuples.
📈 Tuples in Data Science Projects: See real-world applications of tuples in data science projects to understand their importance.
🔗 Resources and Code: Access additional resources and the source code used in this lecture to enhance your learning experience.
✨Lecture 18 Notes - www.theiscale....
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Building on the foundational knowledge from Part 1, this lecture will equip you with advanced skills to use tuples effectively in your Python programming and data science projects. Don’t forget to like, comment, and subscribe for more lectures and tutorials in our Python for Data Science series!
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[@ShivakumarR-ww5le]

yur excellent teacher

[@sanchat1000]

You are doing a very good job for freshers. But you jumped into reversing without explaining the importance of the 3rd param in the slicing.. Eg, when you write [m:n:p], what is the significance of p?

[@atoztopix]

Isko continie rakhiye mam please

[@tusharprajapati541]

Mam please upload video on daily basis

[@pranayubhe5831]

Hii Tushar

[@SagarGohil-007]

Mam aap ke letest paython video kha pe milenge?