Spark For Python: Developers

Build scalable machine learning pipelines using built-in algorithms. 💡 Pro-Tip: Pandas API on Spark

Process petabytes that crash standard Pandas. Spark for Python Developers

Your data is split into partitions and processed in parallel. Spark for Python Developers

It’s up to 100x faster than Hadoop MapReduce by keeping data in RAM. Spark for Python Developers

Watch out for . Moving data between nodes is expensive. Keep your joins smart and your filters early to keep performance high.