Dictionaries_66f8_csm-c.pptx
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Dictionaries are a fundamental data structure that store data in key-value pairs, allowing for efficient retrieval and modification of data based on keys. Keys must be unique while values can be duplicated. Common dictionary operations like accessing, inserting, and deleting elements have constant time complexity of O(1). While dictionaries provide faster access than lists, they consume more memory than other data structures due to storing both keys and values.
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Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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- 2. 1 Introduction to Dictionaries • Dictionaries are a fundamental data structure in computer science. • Dictionaries store data in key-value pairs. • They allow for efficient retrieval and modification of data based on keys.
- 3. 2 Key Features of Dictionaries • Dictionaries are unordered, meaning there is no specific order in which the key-value pairs are stored. • Keys in dictionaries must be unique, while values can be duplicated. • Dictionaries provide constant time complexity for accessing, inserting, and deleting elements.
- 4. 3 Operations on Dictionaries • Accessing: Retrieve the value associated with a specific key. • Inserting: Add a new key-value pair to the dictionary. • Updating: Modify the value of an existing key in the dictionary.
- 5. 4 More Operations on Dictionaries • Deleting: Remove a key-value pair from the dictionary. • Checking Existence: Determine if a specific key exists in the dictionary. • Size: Find the number of key-value pairs in the dictionary.
- 6. 7 Time Complexity Analysis • Accessing, inserting, updating, and deleting operations in dictionaries have an average time complexity of O(1). • In worst-case scenarios, the time complexity can be O(n), where n is the number of key-value pairs.
- 7. 8 Comparison with Other Data Structures • Lists: Dictionaries provide faster access to elements based on keys compared to lists, which require linear search. • Sets: Dictionaries and sets have similar operations, but dictionaries store key-value pairs, while sets only store unique keys.
- 8. 9 Considerations and Trade-offs • Memory Overhead: Dictionaries consume more memory compared to other data structures due to storing both keys and values. • Hash Collisions: Hash tables may suffer from collisions, affecting performance, but techniques like chaining or open addressing can mitigate this. • Dictionaries can be found to be easy to search the elements by using key values.
- 9. 10 Conclusion • Dictionaries are a powerful data structure for efficient key-value pair storage and retrieval. • They are widely used in programming languages, databases, and various applications. • Understanding dictionaries' features, operations, and implementations is crucial for efficient algorithm design and problem-solving.
- 10. THANK YOU!