14. Arrays vs lists, binary search - Part B
The chapter discusses search algorithms focusing on both unsorted and sorted sequences. It contrasts a linear search method for unsorted data with the more efficient binary search technique used in sorted data. Additionally, it highlights the differences in performance and implementation considerations based on data structure types, particularly arrays versus lists in Python.
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Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- A linear search checks each element sequentially to find a value.
- Binary search is an efficient algorithm that reduces the search range by half with each step, but it requires the data to be sorted.
- The implementation of search algorithms in Python can treat lists like arrays, despite their dynamic nature.
Key Concepts
- -- Linear Search
- A search algorithm that checks each element in a sequence one by one until the target value is found or the sequence ends.
- -- Binary Search
- An efficient search algorithm that repeatedly divides a sorted sequence in half to locate a specific value.
- -- Time Complexity
- A computational assessment that describes how the runtime of an algorithm scales with the size of the input data.
- -- Data Structures in Python
- An overview of how Python treats lists and arrays, focusing on access time and memory handling.
Additional Learning Materials
Supplementary resources to enhance your learning experience.