| #2 |  Django Girls Tutorial
| 3 |
| #3 |  Think OS Think OS: A Brief Introduction to Operating Systems
| 3 |
| #4 |  A Byte of Python
| 0 |
| #5 |  Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code
| 0 |
| #6 |  The Command Line Crash Course The Command Line Crash Course
| 5 |
| #7 |  Hacking
| 3.8 |
| #8 |  Reversing Secrets of Reverse Engineering
| 4 |
| #9 |  Gray hat hacking
| 0 |
| #10 |  The Cuckoo's Egg: Tracking a Spy Through the Maze of Computer Espionage
| 4.07 |
| #11 |  Metasploit: The Penetration Tester's Guide
| 0 |
| #12 |  The Art of Intrusion: The Real Stories Behind the Exploits of Hackers, Intruders and Deceivers
| 3.25 |
| #13 |  Black Hat Python
| 0 |
| #14 |  Violent Python
| 0 |
| #15 |  Gray Hat Python
| 0 |
| #16 |  The Dark Net: Inside the Digital Underworld
| 4.25 |
| #17 |  The TCP/IP Guide The TCP/IP Guide: A Comprehensive, Illustrated Internet Protocols Reference
| 4 |
| #18 |  The Information: A History, a Theory, a Flood
| 4.5 |
| #19 |  Algorithms to Live By: The Computer Science of Human Decisions
| 3.96 |
| #20 |  Introduction to the Theory of Computation
| 4.67 |
| #21 |  The Art of Assembly Language The Art of Assembly Language
| 2 |
| #22 |  Structure and Interpretation of Computer Programs
| 4.13 |
| #23 |  Programming Language Pragmatics
| 0 |
| #24 |  The Mythical Man-Month: Essays on Software Engineering
| 4 |
| #25 |  Learn C the Hard Way
| 0 |
| #26 |  Eloquent JavaScript
| 4.2 |
| #27 |  Computer Power and Human Reason: From Judgment to Calculation
| 0 |
| #28 |  The Art of UNIX Programming
| 4 |
| #29 |  Hackers & Painters
| 0 |
| #30 |  The Protocols
| 4 |
| #31 |  Fluent Python: Clear, Concise, and Effective Programming
| 4.38 |
| #32 |  Code: The Hidden Language of Computer Hardware and Software
| 4.3 |
| #33 |  The Shellcoder's Handbook The Shellcoder's Handbook: Discovering and Exploiting Security Holes
| 0 |
| #34 |  A Bug Hunter's Diary: A Guided Tour Through the Wilds of Software Security
| 4 |
| #35 |  Python for Data Analysis
| 4.33 |
| #36 |  Natural Language Processing With Python
| 0 |
| #37 |  Code Complete
| 4.26 |
| #38 |  Design Patterns
| 4.03 |
| #39 |  Hacker's Delight
| 0 |
| #40 |  We Are Anonymous: Inside the Hacker World of LulzSec, Anonymous, and the Global Cyber Insurgency
| 4 |
| #41 |  The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
| 4.15 |
| #42 |  Hardware Hacking: Have Fun while Voiding your Warranty
| 0 |
| #43 | Computer Organization and Architecture Computer Organization and Architecture
| 0 |
| #44 |  Hardware Hacking Projects for Geeks
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| #45 |  The Hardware Hacker
| 3 |
| #46 |  The Boy Who Could Change the World
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| #47 |  Effective Python: 59 Specific Ways to Write Better Python
| 4.25 |
| #48 |  Concepts, Techniques, and Models of Computer Programming
| 0 |
| #49 |  The Complete Problem Solver
| 0 |
| #52 |  The Art of Computer Programming, Volume 1: Fundamental Algorithms
| 4.5 |
| #53 |  The Art of Computer Programming, Volume 4, Fascicle 0: Introduction to Combinatorial Algorithms and Boolean Functions
| 0 |
| #54 |  The Art of Computer Programming, Volume 4, Fascicle 1: Bitwise Tricks & Techniques; Binary Decision Diagrams
| 5 |
| #55 |  The Art of Computer Programming, Volume 1, Fascicle 1
| 0 |
| #57 |  The Art of Computer Programming, Volume 4, Fascicle 4: Generating All Trees--History of Combinatorial Generation
| 5 |
| #58 |  JavaScript: The Good Parts
| 4 |
| #59 | Python Essential Reference Python Essential Reference
| 0 |
| #60 |  JavaScript: The Definitive Guide
| 4.17 |
| #61 |  Beautiful Code
| 3.67 |
| #62 |  The C Programming Language
| 4.42 |
| #63 |  The Little Schemer
| 4.33 |
| #64 | The Web Application Hacker's Handbook The Web Application Hacker's Handbook: Finding and Exploiting Security Flaws
| 0 |
| #65 |  Probability and Statistics for Computer Scientists
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| #66 |  Deep Learning
| 4.8 |
| #67 |  Neural Networks and Deep Learning
| 5 |
| #68 |  The Architecture of Open Source Applications
| 0 |
| #69 |  500 Lines or Less 500 Lines or Less
| 0 |
| #70 |  Algorithms + Data Structures = Programs Algorithms + Data Structures = Programs
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| #71 |  Clean Code: A Handbook of Agile Software Craftsmanship
| 4.11 |
| #72 |  Introduction to Algorithms
| 3.75 |
| #73 |  The Algorithm Design Manual
| 4.4 |
| #74 |  Computer Systems Computer Systems: A Programmer's Perspective
| 4.5 |
| #75 |  Computer Science: An Overview
| 3.67 |
| #76 |  Algorithms
| 4.5 |
| #77 |  Grokking Algorithms
| 4.2 |
| #78 |  Artificial intelligence
| 3.75 |
| #79 |  Python essential reference
| 3 |
| #80 |  Secrets of the JavaScript Ninja
| 4 |
| #81 |  Red Team Field Manual
| 0 |
| #82 |  Pascal
| 4 |
| #83 |  Refactoring: Improving the Design of Existing Code
| 4.13 |
| #84 |  Gates
| 0 |
| #85 |  The Google Story
| 3.33 |
| #86 |  Language Implementation Patterns
| 0 |
| #87 |  But how Do it Know?
| 0 |
| #88 |  The Elements of Computing Systems: Building a Modern Computer from First Principles
| 4.67 |
| #89 |  Programming pearls
| 3.33 |
| #90 |  Head First Design Patterns
| 4.17 |
| #91 |  The Pragmatic Programmer
| 4.24 |
| #92 |  Compilers
| 4.25 |
| #93 | Computer Organization & Design Computer Organization & Design: The Hardware/Software Interface
| 0 |
| #94 |  The Calculi of Lambda-Conversion (Am-6), Volume 6
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| #95 |  Numerical Methods For Mathematics, Science, and Engineering
| 0 |
| #96 |  Programming Collective Intelligence: Building Smart Web 2.0 Applications
| 2.75 |
| #97 |  Pattern Recognition and Machine Learning
| 0 |
| #98 |  Introduction to Machine Learning with Python: A Guide for Data Scientists
| 0 |
| #99 |  Data Science From Scratch: First Principles with Python
| 4 |
| #100 |  Neural Network Methods for Natural Language Processing
| 0 |
| #101 |  One Jump Ahead: Computer Perfection at Checkers
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| #102 |  An Introduction to Statistical Learning
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| #103 |  Paradigms of artificial intelligence programming | 0 |
| #104 |  The Practice of Programming
| 4 |
