Using Caching for Performance

Best Practices & Optimization

Boost Python app performance by caching results of expensive computations to reduce execution time and improve responsiveness. Simple to advanced techniques.

Using Efficient Pandas Operations

Best Practices & Optimization

Learn to write faster, more efficient pandas code for large datasets by understanding the cost of operations and applying optimization techniques.

Using Redis or Memcached Effectively

Best Practices & Optimization

Redis and Memcached are both fast in-memory data stores used to improve app performance. Redis offers more data structures and persistence, while Memcached is simpler and ideal for basic caching.

Using timeit for Benchmarking

Best Practices & Optimization

Use Python's built-in timeit module for accurate, reliable benchmarking by running code multiple times to minimize system noise and deliver precise performance measurements.