How to Implement Search Algorithms with Python
Offered By: Codecademy
Course Description
Overview
Finding the data you are looking for in a data set is an important skill: get started with two common approaches.
### Why Learn Search Algorithms?
Optimizing your approach for each search in your application makes your overall system more efficient. Proficiency in this topic will help prepare you for your next coding interview and will help you understand how data retrieval methods work.
### Take-Away Skills:
Ability to implement and analyze the performance of common search algorithms.
### Notes on Prerequisites:
A basic understanding of Python is required to implement these search algorithms.
### Why Learn Search Algorithms?
Optimizing your approach for each search in your application makes your overall system more efficient. Proficiency in this topic will help prepare you for your next coding interview and will help you understand how data retrieval methods work.
### Take-Away Skills:
Ability to implement and analyze the performance of common search algorithms.
### Notes on Prerequisites:
A basic understanding of Python is required to implement these search algorithms.
Syllabus
- Linear & Binary Search: Learn the concepts behind linear and binary search before implementing them in Python. Test your knowledge with two quizzes.
- Lesson: Linear Search: Conceptual
- Lesson: Binary Search: Conceptual
- Quiz: Linear & Binary Search: Conceptual
- Lesson: Linear Search: Python
- Lesson: Binary Search: Python
- Quiz: Linear & Binary Search: Python
- Linear & Binary Search Project: Learn to modify a version of binary search to look for data in a sparse dataset.
- Project: Searchcademy
Taught by
Nitya Mandyam
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