| #2 |  Structure and Interpretation of Computer Programs
| 4.1 |
| #3 |  The Passionate Programmer
| 4.2 |
| #4 |  Clean Code: A Handbook of Agile Software Craftsmanship
| 4.15 |
| #5 |  Working Effectively with Legacy Code
| 4.36 |
| #6 |  Graph Databases
| 4 |
| #7 |  Patterns of Enterprise Application Architecture
| 4.67 |
| #8 |  Introduction to Algorithms
| 3.8 |
| #9 |  Domain-Driven Design
| 4.05 |
| #10 |  Concepts, Techniques, and Models of Computer Programming
| 0 |
| #11 |  Matematika
| 0 |
| #12 |  Introducing Elixir: Getting Started in Functional Programming
| 4 |
| #13 |  Arrays, Functional Languages, and Parallel Systems | 0 |
| #14 |  The Little Schemer
| 4.33 |
| #15 |  How to Solve it
| 4 |
| #16 |  Learn You a Haskell for Great Good!
| 4.4 |
| #17 |  No Bullshit Guide to Linear Algebra
| 0 |
| #18 |  Algorithms to Live By: The Computer Science of Human Decisions
| 4.01 |
| #19 |  The Joy of Clojure
| 3.5 |
| #20 |  The Algorithm Design Manual
| 4.4 |
| #21 |  Scala for the Impatient Scala for the Impatient
| 0 |
| #22 |  mastering apache spark 2 mastering apache spark 2
| 0 |
| #23 |  Functional Programming in Scala
| 4 |
| #24 |  The Type Astronaut's Guide to Shapeless
| 0 |
| #25 |  97 Things Every Programmer Should Know: Collective Wisdom from the Experts
| 3.29 |
| #26 |  The Little Typer
| 0 |
| #27 |  Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
| 4.77 |
| #28 |  A Philosophy of Software Design
| 3.88 |
| #29 |  The Mythical Man-Month: Essays on Software Engineering
| 3.85 |
| #30 |  Code Complete
| 4.35 |
| #31 |  Type Theory and Formal Proof: An Introduction
| 3.5 |
| #32 |  How to Design Programs, second edition
| 0 |
| #33 |  Category Theory for Programmers Category Theory for Programmers
| 3 |
| #34 |  Homotopy Type Theory Homotopy Type Theory
| 0 |
| #35 |  Calculus Made Easy
| 4.5 |
| #36 |  Software Requirements and Specifications: A Lexicon of Practice, Principles and Prejudices
| 0 |
| #37 |  Purely Functional Data Structures
| 3.5 |
| #38 |  Elements of Programming
| 0 |
| #39 |  Essential Scala
| 4 |
| #40 |  Composite/Structured Design
| 0 |
| #41 |  What Every Programmer Should Know About Object-Oriented Design
| 0 |
| #42 | Spark Spark: The Definitive Guide: Big Data Processing Made Simple
| 0 |
| #43 |  Scala with Cats Scala with Cats
| 0 |
| #44 |  The Leprechauns of Software Engineering
| 3.5 |
| #45 |  Coders at Work
| 3.83 |
| #46 |  Grokking Algorithms, Second Edition
| 4.44 |
| #47 |  Practical FP in Scala: A hands-on approach
| 4 |
| #48 |  System Design Interview – An Insider's Guide System Design Interview – An Insider's Guide
| 4.4 |
| #49 |  Gödel, Escher, Bach: an Eternal Golden Braid
| 4.52 |
| #50 |  Fundamentals of Software Architecture: An Engineering Approach
| 4.33 |
| #51 |  Developer Hegemony
| 0 |
| #52 |  The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
| 5 |
| #53 |  The Rust Programming Language
| 4.88 |
| #54 |  Tidy First?: A Personal Exercise in Empirical Software Design
| 3.17 |
| #55 |  The Imposter's Handbook The Imposter's Handbook
| 4 |
