O'Reilly & No Starch Press
1. 
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by:
Hadley Wickham
4.54 avg rating β 1,189 ratings 2. 
Hands-On Programming with R: Write Your Own Functions and Simulations 4.36 avg rating β 238 ratings
2. 
Design for How People Think: Using Brain Science to Build Better Products
by:
John Whalen
3.65 avg rating β 311 ratings 4. 
The Art of R Programming: A Tour of Statistical Software Design
by:
Norman Matloff
4.02 avg rating β 586 ratings 5. 
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists 4.07 avg rating β 312 ratings
6. 
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
by:
Alice Zheng
3.85 avg rating β 152 ratings 7. 
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
by:
Claus O. Wilke
4.41 avg rating β 226 ratings 8. 
R Packages: Organize, Test, Document, and Share Your Code
by:
Hadley Wickham
4.44 avg rating β 171 ratings 9. 
Python Data Science Handbook: Essential Tools for Working with Data
by:
Jake VanderPlas
4.29 avg rating β 651 ratings 10. 
12. 
ANGULAR UP & RUNNING LEARNING ANGULAR STEP BY STEP
by:
Shyam Seshadri
3.75 avg rating β 20 ratings 13. 
Doing Data Science: Straight Talk from the Frontline
by:
Cathy O'Neil
3.74 avg rating β 570 ratings 14. 
Information Architecture: For the Web and Beyond
by:
Louis Rosenfeld
3.93 avg rating β 3,823 ratings 15. 
The Hitchhiker's Guide to Python: Best Practices for Development
by:
Kenneth Reitz
3.92 avg rating β 209 ratings 16. 
The Cathedral & the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary
by:
Eric S. Raymond
3.83 avg rating β 4,272 ratings 17. 
Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning
by:
Delip Rao
3.70 avg rating β 61 ratings 18. 
Fluent Python: Clear, Concise, and Effective Programming
by:
Luciano Ramalho
4.62 avg rating β 1,720 ratings 19. 
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
by:
Foster Provost
4.13 avg rating β 2,587 ratings 20. 
Learning GraphQL: Declarative Data Fetching for Modern Web Apps
by:
Eve Porcello
3.73 avg rating β 226 ratings 21. 
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
by:
Ankur A Patel
3.66 avg rating β 38 ratings 22. 
Deep Learning Cookbook: Practical Recipes to Get Started Quickly
by:
Douwe Osinga
3.90 avg rating β 30 ratings 23. 
24. 
Getting Started with SQL: A Hands-On Approach for Beginners
by:
Thomas Nield
4.10 avg rating β 162 ratings 25. 
Introduction to Machine Learning with Python: A Guide for Data Scientists 4.34 avg rating β 584 ratings
26. 
Web Scraping with Python: Collecting Data from the Modern Web
by:
Ryan Mitchell
4.18 avg rating β 404 ratings 27. 
CSS: The Definitive Guide: Visual Presentation for the Web
by:
Eric A. Meyer
4.24 avg rating β 34 ratings 28. 
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
by:
Wes McKinney
4.17 avg rating β 2,407 ratings 
30. 
Introducing Python: Modern Computing in Simple Packages
by:
Bill Lubanovic
4.15 avg rating β 323 ratings 31. 
UX Strategy: How to Devise Innovative Digital Products that People Want
by:
Jaime Levy
3.95 avg rating β 1,194 ratings 32. 
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
by:
Martin Kleppmann
4.70 avg rating β 9,979 ratings 33. 
UX for Lean Startups: Faster, Smarter User Experience Research and Design
by:
Laura Klein
4.10 avg rating β 2,091 ratings 34. 
Designing Web APIs: Building APIs That Developers Love
by:
Brenda Jin
4.04 avg rating β 195 ratings 35. 
97 Things Every Programmer Should Know: Collective Wisdom from the Experts
by:
Kevlin Henney
3.63 avg rating β 1,975 ratings 36. 
37. 
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
by:
AurΓ©lien GΓ©ron
4.55 avg rating β 2,709 ratings 38. 
Data Science from Scratch: First Principles with Python
by:
Joel Grus
3.91 avg rating β 1,118 ratings 39. 
Hackers and Painters: Big Ideas from the Computer Age
by:
Paul Graham
4.05 avg rating β 9,490 ratings 40. 
Lean UX: Applying Lean Principles to Improve User Experience
by:
Jeff Gothelf
3.99 avg rating β 6,635 ratings 41. 
The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science
by:
Alex Gorelik
3.67 avg rating β 102 ratings 42. 
Making Data Visual: A Practical Guide to Using Visualization for Insight
by:
Danyel Fisher
3.82 avg rating β 34 ratings 43. 
Think Python: How to Think Like a Computer Scientist
by:
Allen B. Downey
4.12 avg rating β 1,658 ratings 
45. 
Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data
by:
Kyran Dale
3.93 avg rating β 41 ratings 46. 
Lean Analytics: Use Data to Build a Better Startup Faster
by:
Alistair Croll
4.10 avg rating β 8,169 ratings 47. 
Kubernetes: Up & Running - Dive into the Future of Infrastructure
by:
Brendan Burns
4.06 avg rating β 1,123 ratings 48. 
Practical Statistics for Data Scientists: 50 Essential Concepts
by:
Peter Bruce
4.02 avg rating β 524 ratings 49. 
Learning JavaScript: JavaScript Essentials for Modern Application Development
by:
Ethan Brown
3.97 avg rating β 74 ratings 50. 
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning 3.82 avg rating β 56 ratings
51. 
Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud
by:
John Arundel
4.26 avg rating β 226 ratings 52. 
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
by:
Chris Albon
4.28 avg rating β 75 ratings 53. 
Impractical Python Projects: Playful Programming Activities to Make You Smarter
by:
Lee Vaughan
4.22 avg rating β 85 ratings 
55. 
Automate the Boring Stuff with Python: Practical Programming for Total Beginners
by:
Al Sweigart
4.28 avg rating β 3,092 ratings 56. 
The Secret Life of Programs: Understand Computers -- Craft Better Code
by:
Jon Steinhart
3.86 avg rating β 72 ratings 57. 
Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More!
by:
Amit Saha
4.06 avg rating β 134 ratings 58. 
Statistics Done Wrong: The Woefully Complete Guide
by:
Alex Reinhart
4.19 avg rating β 1,067 ratings 59. 
Python Crash Course: A Hands-On, Project-Based Introduction to Programming
by:
Eric Matthes
4.36 avg rating β 3,001 ratings 60. 
Learn You a Haskell for Great Good!: A Beginner's Guide
by:
Miran LipovaΔa
4.30 avg rating β 2,368 ratings 61. 
Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks
by:
Will Kurt
4.18 avg rating β 483 ratings 62. 
The CS Detective: An Algorithmic Tale of Crime, Conspiracy, and Computation
by:
Jeremy Kubica
3.96 avg rating β 113 ratings 63. 
Math Adventures with Python: An Illustrated Guide to Exploring Math with Code
by:
Peter Farrell
4.12 avg rating β 49 ratings 64. 
The Book of F#: Breaking Free with Managed Functional Programming
by:
Dave Fancher
3.84 avg rating β 45 ratings 65. 
Practical SQL: A Beginner's Guide to Storytelling with Data
by:
Anthony DeBarros
4.26 avg rating β 225 ratings 66. 
The Book of R: A First Course in Programming and Statistics
by:
Tilman M. Davies
4.13 avg rating β 67 ratings 67. 
Serious Python: Black-Belt Advice on Deployment, Scalability, Testing, and More
by:
Julien Danjou
3.97 avg rating β 146 ratings