🚀 Day 9 of my Python Full Stack Journey Continuing my learning at Global Quest Technologies, today’s session focused on the List data structure in Python, which is used to store multiple items in a single variable. Topics covered: 🔹 Introduction to Lists • Lists are used to represent multiple objects as a single entity • Learned how to create lists using [] (list literals) and the list() function 🔹 Key Features of Lists • Supports heterogeneous elements (different data types) • Duplicates are allowed • Order of insertion is preserved • Supports both positive and negative indexing • Lists are mutable (can be modified after creation) 🔹 Accessing List Elements • Accessed elements using indexing • Extracted portions using the slice operator 🔹 Traversing Lists • Learned how to iterate through list elements using loops • Practiced examples for better understanding 🔹 Important List Methods • "len()" • "count()" • "index()" • "append()" • "insert()" • "extend()" This session helped me understand how to work with collections of data efficiently and perform various operations on lists. 🙏 Thankful to G.R NARENDRA REDDY Sir and Global Quest Technologies for their continuous support and guidance. #Python #FullStack #LearningJourney #Programming #Coding
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Well done Nithin Puli
Congratulations! 🎉 on completing Day 9 of your Python Full Stack journey your consistency is inspiring keep building and growing. The effort will surely pay off. Keep going strong! 🚀
Nice
well done keep going Nithin Puli
Well done keep going Nithin Puli
Nithin Puli, sharp approach to data structures—lists are retail's backbone too. your posts keep surfacing for me. by the way, we're building an ai district manager that processes store data just like python handles lists. happy to share more if helpful. .ai