The Ultimate Performance Challenge

Optimize your code to process one billion rows in record time. Compete with developers worldwide and claim your spot on the leaderboard.

def process_billion_rows():
    start_time = time.time()
    # Your optimized code here
    return time.time() - start_time

Global Leaderboard

Rank User Time Language

Live testing results with million-row dataset

Rank Solution Time Language Status

1 Test Solution (Python) 0.752s Python ✅ Passed

2 Test Solution (Java) 1.329s Java ✅ Passed

3 BillionRowSolver (Java) 0.966s Java ✅ Passed

4 Fast Solution (Python) 0.780s Python ✅ Passed

5 Memory Optimized (Python) 0.650s Python ✅ Passed

💡 Testing Parameters: 1M rows, 256 stations, validation passed

🚀 Ready for billion-row testing - Submit your solution to compete!

Start developing with our 1M row test dataset. Perfect for local development and testing your algorithms.

1M Rows

13MB Size

302 Stations

💡 Use this dataset for local development. Final testing uses the full billion-row dataset.

Sample Data

Chengdu=9.1

Berlin=-9.3

Krakow=15.9

Tampa=27.6

...

Submit your optimized solution through GitHub and see how you rank against the world's best developers.

1 Fork the repository

2 Add your solution

3 Create a PR

📁 Fork

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💻 Code

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🚀 PR