Professional

Position
Details
Rating
Readers Count
Controls
#2
Algorithms
Algorithms
  • Robert Sedgewick
  • Kevin Wayne
4.2510 reads
#3
Cracking the Coding Interview: 150 Programming Questions and Solutions
Cracking the Coding Interview: 150 Programming Questions and Solutions
  • Gayle Laakmann McDowell
3.8331 reads
#4
Writing Idiomatic Python 2.7.3
Writing Idiomatic Python 2.7.3
  • Jeff Knupp
31 read
#5
Fluent Python: Clear, Concise, and Effective Programming
Fluent Python: Clear, Concise, and Effective Programming
  • Luciano Ramalho
4.3318 reads
#6
Two Scoops of Django: Best Practices for Django 1.8
Two Scoops of Django: Best Practices for Django 1.8
  • Daniel Roy Greenfeld
  • Audrey Roy Greenfeld
4.66 reads
#7
Python Cookbook
Python Cookbook
  • David Beazley
  • Brian K. Jones
46 reads
#8
The Algorithm Design Manual
The Algorithm Design Manual
  • Steven S. Skiena
4.1112 reads
#9
Learning Python
Learning Python
  • Mark Lutz
  • David Ascher
3.7116 reads
#10
Psychology of Everyday Things
Psychology of Everyday Things
  • Donald A. Norman
4.04168 reads
#11
The Linux Programming Interface
The Linux Programming Interface
  • Michael Kerrisk
51 read
#12
Design Patterns
Design Patterns
  • Erich Gamma
  • Ralph Johnson
  • John Vlissides
  • Richard Helm
4.0665 reads
#13
Purely Functional Data Structures
Purely Functional Data Structures
  • Chris Okasaki
3.754 reads
#14
Hooked: How to Build Habit-Forming Products
Hooked: How to Build Habit-Forming Products
  • Nir Eyal
3.91112 reads
#15
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
  • Martin Kleppmann
4.6879 reads
#16
Refactoring: Improving the Design of Existing Code
Refactoring: Improving the Design of Existing Code
  • Martin Fowler
25 reads
#17
Domain-Driven Design
Domain-Driven Design
  • Eric Evans
3.9328 reads
#18
Introduction to Probability
Introduction to Probability
  • Joseph K. Blitzstein
  • Jessica Hwang
01 read
#19
High Performance Django
High Performance Django
  • Peter Baumgartner
  • Yann Malet
31 read
#20
PSP: A Self-improvement Process For Software Engineers
PSP: A Self-improvement Process For Software Engineers
  • Watts S. Humphrey
51 read
#21
Amazon Web Services in Action
Amazon Web Services in Action
  • Michael Wittig
  • Andreas Wittig
2.755 reads
#22
Pro Django
Pro Django
  • Marty Alchin
01 read
#23
Accelerate: Building and Scaling High-Performing Technology Organizations
Accelerate: Building and Scaling High-Performing Technology Organizations
  • Nicole Forsgren
  • Jez Humble
  • Gene Kim
4.1154 reads
#24
Cover 2

Django Design Patterns and Best Practices

Django Design Patterns and Best Practices: Industry-standard web development techniques and solutions using Python, 2nd Edition
  • Arun Ravindran
41 read
#25
Test-Driven Development with Python
Test-Driven Development with Python
  • Harry J.W. Percival
42 reads
#26
The Mythical Man-Month: Essays on Software Engineering
The Mythical Man-Month: Essays on Software Engineering
  • Frederick P. Brooks Jr.
4.0190 reads
#27
Peopleware
Peopleware
  • Tom DeMarco
  • Timothy R. Lister
4.3952 reads
#28
About Face 3
About Face 3
  • Alan Cooper
  • Robert Reimann
  • David Cronin
410 reads
#29
The Pragmatic Programmer
The Pragmatic Programmer
  • Andy Hunt
  • Dave Thomas
4.21178 reads
#30
JavaScript: The Good Parts
JavaScript: The Good Parts
  • Douglas Crockford
4.273 reads
#31
Software Design X-Rays
Software Design X-Rays
  • Adam Tornhill
31 read
#32
A Philosophy of Software Design
A Philosophy of Software Design
  • John Ousterhout
4.1536 reads
#33
Developer Hegemony: The Future of Labor
Developer Hegemony: The Future of Labor
    53 reads
    #34
    Joel on Software
    Joel on Software
    • Joel Spolsky
    4.6419 reads
    #35
    Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
    Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
    • Cameron Davidson-Pilon
    31 read
    #36
    Cover 7

    Visualization Analysis and Design

    Visualization Analysis and Design
    • Tamara Munzner
    01 read
    #37
    Python for Data Analysis
    Python for Data Analysis
    • Wes McKinney
    4.3312 reads
    #38
    Django Design Patterns and Best Practices
    Django Design Patterns and Best Practices
    • Arun Ravindran
    11 read
    #39
    Practical Recommender Systems
    Practical Recommender Systems
    • Kim Falk
    31 read
    #40
    Modern C
    Modern C
    • Jens Gustedt
    02 reads
    #41
    A Programmer’s Guide to Data Mining: The Ancient Art of the Numerati
    A Programmer’s Guide to Data Mining: The Ancient Art of the Numerati
    • Ron Zacharski
    31 read
    #42
    The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win
    The Phoenix Project: A Novel About IT, DevOps, and Helping Your Business Win
    • Gene Kim
    • Kevin Behr
    • George Spafford
    4.15257 reads
    #43
    Cover 0

    Architecture Patterns with Python

    Architecture Patterns with Python
    • Harry Percival
    • Bob Gregory
    4.53 reads
    #44
    Start Small, Stay Small
    Start Small, Stay Small
    • Rob Walling
    3.8819 reads
    #45
    Good Strategy Bad Strategy
    Good Strategy Bad Strategy
    • Richard Rumelt
    3.8952 reads
    #46
    Test-Driven Development: By Example
    Test-Driven Development: By Example
    • Kent Beck
    4.0622 reads
    #47
    Working Effectively with Legacy Code
    Working Effectively with Legacy Code
    • Michael C. Feathers
    4.3323 reads
    #48
    Cover 8

    Rust in Action

    Rust in Action
    • T.S. McNamara
    3.53 reads
    #49
    Software Engineering at Google
    Software Engineering at Google
    • Titus Winters
    • Tom Manshreck
    • Hyrum Wright
    4.2514 reads
    #50
    Cover 4

    The Temple of Django Database Performance

    The Temple of Django Database Performance
    • Andrew Brookins
    4.52 reads