Practical Programming Problems
Overview
This section covers real-world programming problems that test your ability to build production-quality software. Unlike algorithm problems, these focus on:
- Parsing and processing real-world data formats
- Building tools that solve actual problems
- Handling edge cases that exist in production
- Writing clean, maintainable code under constraints
Why These Problems Matter
Companies test practical skills because that’s what you’ll do daily:
- Parse configuration files → Parsers
- Build internal tools → CLI Tools
- Process log files and data → File Processing
- Handle concurrent operations → Concurrent Problems
- Build resilient systems → System Utilities
Problem Categories
| Category | Problems | Key Skills |
|---|---|---|
| Parsers | JSON, CSV, URL, Expression | Recursive descent, state machines |
| CLI Tools | Argument parsing, prompts, output | UX, formatting, error handling |
| File Processing | Logs, duplicates, search | I/O, streaming, regex |
| Concurrent | Producer-consumer, pools | Threading, synchronization |
| System Utilities | Rate limiter, circuit breaker | Resilience, configuration |
Files in This Section
- parsers.md — Building parsers from scratch
- cli-tools.md — Building CLI tools
- file-processing.md — File processing problems
- concurrent-problems.md — Concurrency problems
- system-utilities.md — System utility libraries
Tips for Success
- Handle edge cases first — empty input, malformed data, null values
- Use streaming when possible — don’t load entire files into memory
- Write composable functions — small functions that chain together
- Test with real data — use actual log files, JSON samples, etc.
- Consider performance — but don’t premature optimize