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Last active April 8, 2021 18:50
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reading_list.md
  1. Designing Data-Intensive Applications by Martin Kleppmann (2017). This is a great technical primer on distributed systems and the algorithms that power them. Probably the single best book for quickly building understanding of how modern data systems work. Includes topics such as: RDBMS and B-tree indices, Log structured merge (Kafka, Cassandra and others), isolation levels in RDBMS, consensus systems (zookeeper).
  2. Fluent Python By Luciano Ramalho (2015). A bit dated but still overall the best intermediate / advanced Python book I've read.
  3. Unit Testing Principles, Practices, and Patterns By Vladimir Khorikov (2020). Excellent intermediate/advanced book on testing philosophy. I wrote a short blurb on it here.
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