Explore the power of parallel processing in Clojure to build scalable applications. Learn the difference between concurrency and parallelism, and discover tools like `pmap`, `future`, `promise`, and reducers for efficient computation.
Explore efficient data processing strategies in Clojure, including batch processing, streaming, lazy evaluation, and parallel processing, to optimize performance in functional programming.
Explore how to use pmap and other parallel processing functions in Clojure to efficiently utilize multiple CPU cores for computationally intensive tasks.
Explore techniques for optimizing functional code in Clojure, focusing on efficient data structures, transients, laziness, and parallel processing to enhance performance and scalability.
Explore how to harness the power of multiple CPU cores in Clojure applications using parallelization techniques such as pmap, parallel transducers, and core.async pipelines.
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