| #2 |  Structure and Interpretation of Computer Programs
| 20 reads |
| #3 |  The Passionate Programmer
| 10 reads |
| #4 |  Clean Code: A Handbook of Agile Software Craftsmanship
| 87 reads |
| #5 |  Working Effectively with Legacy Code
| 12 reads |
| #6 |  Graph Databases
| 3 reads |
| #7 |  Patterns of Enterprise Application Architecture
| 8 reads |
| #8 |  Introduction to Algorithms
| 12 reads |
| #9 |  Domain-Driven Design
| 17 reads |
| #10 |  Concepts, Techniques, and Models of Computer Programming
| 0 reads |
| #11 |  Matematika
| 0 reads |
| #12 |  Introducing Elixir: Getting Started in Functional Programming
| 1 read |
| #13 |  Arrays, Functional Languages, and Parallel Systems | 0 reads |
| #14 |  The Little Schemer
| 4 reads |
| #15 |  How to Solve it
| 11 reads |
| #16 |  Learn You a Haskell for Great Good!
| 6 reads |
| #17 |  No Bullshit Guide to Linear Algebra
| 0 reads |
| #18 |  Algorithms to Live By: The Computer Science of Human Decisions
| 97 reads |
| #19 |  The Joy of Clojure
| 4 reads |
| #20 |  The Algorithm Design Manual
| 5 reads |
| #21 |  Scala for the Impatient
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| #22 |  mastering apache spark 2 mastering apache spark 2
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| #23 |  Functional Programming in Scala
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| #24 |  The Type Astronaut's Guide to Shapeless
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| #25 |  97 Things Every Programmer Should Know: Collective Wisdom from the Experts
| 10 reads |
| #26 |  The Little Typer
| 1 read |
| #27 |  Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
| 54 reads |
| #28 |  A Philosophy of Software Design
| 24 reads |
| #29 |  The Mythical Man-Month: Essays on Software Engineering
| 50 reads |
| #30 |  Code Complete
| 29 reads |
| #31 |  Type Theory and Formal Proof: An Introduction
| 1 read |
| #32 |  How to Design Programs, second edition
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| #33 |  Category Theory for Programmers Category Theory for Programmers
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| #34 |  Homotopy Type Theory Homotopy Type Theory
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| #35 |  Calculus Made Easy
| 2 reads |
| #36 |  Software Requirements and Specifications: A Lexicon of Practice, Principles and Prejudices
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| #37 |  Purely Functional Data Structures
| 2 reads |
| #38 |  Elements of Programming
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| #39 |  Essential Scala
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| #40 |  Composite/Structured Design
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| #41 |  What Every Programmer Should Know About Object-Oriented Design
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| #42 |  Spark: The Definitive Guide: Big Data Processing Made Simple
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| #43 |  Scala with Cats Scala with Cats
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| #44 |  The Leprechauns of Software Engineering
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| #45 |  Coders at Work
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| #46 |  Grokking Algorithms
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| #47 |  Practical FP in Scala: A hands-on approach
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| #48 |  System Design Interview – An Insider's Guide System Design Interview – An Insider's Guide
| 5 reads |
| #49 |  Gödel, Escher, Bach: an Eternal Golden Braid
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| #50 |  Fundamentals of Software Architecture: An Engineering Approach
| 6 reads |
| #51 |  Developer Hegemony
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| #52 |  The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
| 3 reads |
| #53 |  The Rust Programming Language
| 19 reads |
| #54 |  Tidy First?: A Personal Exercise in Empirical Software Design
| 3 reads |
| #55 |  The Imposter's Handbook The Imposter's Handbook
| 5 reads |
