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Coding Problems on Strings Solved Step by Step | Data Structures and Algorithms | Scaler Academy
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Data Structures and Algorithms (DSA): Stacks & Queues | Linked Lists | Sorting | Arrays - Coding Problems on Strings Solved Step by Step | Data Structures and Algorithms | Scaler Academy

Master the Art of Data Structures & Algorithms: Crack Coding Interviews with Ease in 2023! Explore Comprehensive Tutorials & Interview Prep on Stacks, Queues, Graphs, and More. Get Ready to Ace FAANG with Expert Guidance from SCALER!

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17 learners

What you'll learn

Develop proficiency in implementing commonly used data structures such as stacks, queues, and linked lists
Enhance problem-solving skills by applying algorithms to various coding challenges
Understand and optimize time complexity for efficient algorithm performance
Master dynamic programming and graph theory techniques for complex problem-solving

This course includes

  • 389 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

Strings remain to be one of the most popular topics in programming. Strings being such a crucial part of programming, it is imperative to practice solving the coding problems on strings. We at Scaler bring you this detailed tutorial on Strings. Join our FREE Masterclass now: https://bit.ly/3qPFm9Z What is String? In computer programming, a string is traditionally a sequence of characters, either as a literal constant or as some kind of variable. The latter may allow its elements to be mutated and the length changed, or it may be fixed (after creation). A string is generally considered as a data type and is often implemented as an array data structure of bytes (or words) that stores a sequence of elements, typically characters, using some character encoding. String may also denote more general arrays or other sequence (or list) data types and structures. What are String Matching Algorithms? String Matching Algorithms or searching algorithms try to find places where one or several strings are found within a larger string. They are classified into different types such as naive string matching, kmp string matching, etc. Naive string matching is the simplest form of string matching algorithm. It checks for all the main characters of the main string to the pattern. The time complexity of Naive Pattern Search method is O(m*n).KMP string matching checks the characters from left to right. The time complexity of KMP is O(n). Watch the following video till the end to acquire detailed understanding on coding problems on strings and how you can solve them. ---------------------------------------- About Scaler Academy -------------------------------------------------- We are a tech-focused upskilling and reskilling platform catering to tech enthusiasts in universities and working professionals. There are more Scaler graduates working at Amazon than all of the IITs combined! Learn more about Scaler: https://bit.ly/30JfHoH 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Meet like-minded coder folks on Discord - https://discord.com/invite/ejFeksEtTq 👉 Tweets you cannot afford to miss out on - https://twitter.com/scaler_official 👉 Check out student success stories, expert opinions, and live classes on Linkedin - https://www.linkedin.com/school/scalerofficial 👉 Explore value packed reels, carousels and get access to exclusive updates on Instagram - https://www.instagram.com/scaler_official/ 📢 Be a part of our one of a kind telegram community: https://t.me/Scalercommunity 🔔 Hit that bell icon to get notified of all our new videos 🔔 #strings #datastructures #problemsonstrings #codinginterviews

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