Browse articles about Python.
Use ETA as a fairness signal for meetinthemiddle recommendations. Build ETA distribution, meeting purpose, category, and time features. Compare feature sets with NDCG and consider correlation, feature importance, and deployment checks.
Build a meetinthemiddle recommendation dataset around a Station, Place, and Edge schema. Follow the exercise code through seed collection, cleaning rules, duplicate, missing-value and outlier handling, quality reporting, validation, and scaling to larger crawls.
Turn meetup-place recommendations into a machine learning ranking problem, with labels based on the user funnel and evaluation metrics.
Learn how HTTPS secures web communication, the role and types of SSL/TLS certificates, and how to create a local HTTPS server in Python using a self-signed certificate.
Build a simple multi-client chat application with Python and TCP sockets. Implement a server and client, handle concurrent connections with threads, and broadcast messages.
Learn advanced PyMongo queries, index management, and the foundations of MongoDB’s Aggregation Framework through practical examples.
Learn PyMongo fundamentals, connect to MongoDB Atlas, perform CRUD operations, and work with BSON types in Python.
Learn to connect Python and Java applications to MongoDB Atlas using PyMongo and the MongoDB Java Driver, with basic connection examples.
A Python divide-and-conquer solution for counting monochromatic pieces of colored paper.
A Python solution to the Lost Parentheses problem using a greedy approach and expression parsing.
A Python BFS solution for counting connected cabbage groups and the minimum number of protective worms.
A Python graph-traversal solution for counting regions with and without red-green color weakness.
A Python BFS solution to finding the fewest die rolls in a game of snakes and ladders.
A Python solution to Programmers' PCCP past-exam question 3, Finding Collision Risks.
Use collections, heapq, bisect, and itertools for data structures and coding-test problems in Python.
A practical overview of Python lists, tuples, dictionaries, and sets.
A solution to Baekjoon problem 1927.