Python Algorithms Course
This course focuses on designing and implementing efficient algorithms in Python for similarity search, tag-based queries, and prefix lookups. Participants will learn Big-O analysis, data structures like inverted indexes and tries, performance benchmarking, and optimization techniques using realistic datasets.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Python Algorithms Course teaches you to design efficient similarity search, tag-based queries, and prefix lookups using pure Python. You will master Big-O analysis, inverted indexes, tries, hash-based indexing, and performance benchmarking with realistic data. Learn clean implementation patterns, memory-aware data models, and practical optimizations that scale, all in a compact, focused, high-quality format.
Elevify advantages
Develop skills
- Design Python indexes: build fast dict, set, and trie search structures.
- Implement similarity search: optimize tag-based matching with Big-O insight.
- Generate test data: create 50k+ realistic users and benchmark query speed.
- Profile and tune code: use cProfile and timeit to remove Python bottlenecks.
- Build clean APIs: design add_user, search, and similarity endpoints in Python.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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