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.: 10 CSmajor books 12 essential books 3 mustread books 3 tools books 4 Management books futurist authors Interview Prep lang - c# lang - c_c++ lang - go lang - java lang - python misc non-technical README.md sub: AoA sub: DataScience sub: NLP

./10 CSmajor books:

  1. Algorithms to Live By - Brian Christian, Tom Griffiths.pdf
  2. The Soul of a New Machine - Tracy Kidder.pdf
  3. Data and Reality - William Kent, Steve Hoberman.pdf
  4. Hackers - Steven Levy.pdf
  5. Superintelligence - Nick Bostrom.pdf
  6. The Chip - TR Reid.pdf
  7. IT infrastructure architecture - Sjaak Laan.pdf
  8. The Innovators - Walter Isaacson.pdf
  9. Understanding the Digital World - Brian Kernighan.pdf
  10. The Search - John Battelle.pdf

./12 essential books:

  1. Code Complete 2 - Steve McConnell.pdf
  2. The Pragmatic Programmer - Andrew Hunt, David Thomas.pdf
  3. Structure and Interpretation of Computer Programs - Harold Abelson, Gerald Sussman.pdf
  4. Introduction to Algorithms - CLRS.pdf
  5. Clean Code - Robert Martin.pdf
  6. Refactoring - Martin Fowler.pdf
  7. Code - Charles Petzold.pdf
  8. Programming Pearls - Jon Bentley.pdf
  9. Design Patterns - GOF.pdf
  10. The Mythical Man Month - Frederick Brooks.pdf
  11. Working Effectively With Legacy Code - Michael Feathers.pdf

./3 mustread books: Computer Network - James Kurose, Keith Ross .pdf Computer Systems - Randal Bryant, David O’Hallaron.pdf Designing Data Intensive Applications - Martin Kleppmann.pdf

./3 tools books: 1 The Linux Command Line - William Shots.pdf 2 Pro Git - Scott Chacon, Ben Straub.pdf 3 Practical Vim - Drew Neil.pdf

./4 Management books: High Output Management - Andrew Grove.pdf The Five Dysfunctions of a Team - Patrick Lencioni.pdf The Harvard Business Review manager’s handbook.pdf The Manager’s Path - Camille Fournier.pdf

./futurist authors: Artificial Intelligence in Practice - Bernard Marr.pdf Big Data - Bernard Marr.pdf Big Data Case Study - Bernard Marr.pdf Tech Trends in Practice - Bernard Marr.pdf

./Interview Prep: 1 EPI python - Adnan Aziz, Tsung-Hsien Lee, Amit Prakash.djvu 2 EPI java.pdf 3 EPI c++.pdf Cracking The Coding InterviewTCI - Gayle Mcdowell.pdf Cracking The PM Interview.pdf Cracking The Tech Career.pdf PIE - John Mongan, Eric Giguère, Noah Kindler.pdf

./lang - c#: Mastering C# and .NET Framework - Marino Posadas.pdf

./lang - c_c++: Introduction to C++ for Financial Engineers - Daniel Duffy.pdf The C++ Programming Language - Bjarne Stroustrup.pdf

./lang - go: Go In Practice - Matt Butcher, Matt Farina.pdf Introducing Go - Caleb Doxsey.pdf Machine Learning With Go - Daniel Whitenack.pdf The Go Programming Language - Alan Donovan, Brian Kernighan.pdf

./lang - java: Effective Java - Joshua Bloch.pdf Head First Java - Kathy Sierra and Bert Bates.pdf Learn Java in One Day and Learn It Well - Jamie Chan.pdf

./lang - python: Architecture Patterns with Python - Bob Gregory, Harry Percival.pdf Data Structures and Algorithms with Python - Dr. Basant Agarwal, Benjamin Baka.pdf Fluent Python - Luciano Ramalho.pdf Parallel Programming with Python - Jan Palach.pdf Pro Python System Administration - Rytis Sileika.pdf Python Cookbook - David Beazley, Brian Jones.pdf Python Crash Course - Eric Matthes.pdf Python Design Patterns - Kamon Ayeva, Sakis Kasampalis.pdf Python Tricks - Dan Bader.pdf Think Python - Allen Downey.pdf web-python

./lang - python/web-python: 1 Hands-On RESTful Python Web Services Develop RESTful web services - Gaston C. Hillar.pdf Designing Microservices with Django - Akos Hochrein.pdf Django: Web Development with Python - Samuel Dauzon, Aidas Bendoraitis, Arun Ravindran .pdf Flask By Example - Gareth Dwyer.pdf Flask Web Development - Miguel Grinberg.pdf The Definitive Guide to Django - Adrian Holovaty , Jacob Kaplan-Moss.pdf Web Scraping with Python - Ryan Mitchell.pdf

./misc: Building Microservices - Sam Newman.pdf Cloud Native DevOps with Kubernetes - John Arundel, Justin Domingus.pdf Distributed Systems for practitioners - Dimos Raptis.pdf Domain-Driven Design - Eric Evans.pdf Monolith to Microservices - Sam Newman.pdf Patterns of Enterprise Application Architecture - Martin Fowler.pdf Unix for the beginning mage - Joe Topjian.pdf

./non-technical: A Little History of Economics - Niall Kishtainy.pdf New Thinking (Cold Fusion) - Dagogo Altraide.pdf Sapiens - Yuval Harari.pdf The Black Box Society - Frank Pasquale.pdf The Black Swan - Nassim Taleb.pdf The Selfish Gene - Richard Dawkins.pdf Thinking, Fast and Slow - Daniel Kahneman.pdf

./sub: AoA: Algorithm Design - Jon Kleinberg, Éva Tardos.pdf Computer Algorithms - Ellis Horowitz, Sartaj Sahni, Sanguthevar Rajasekaran.pdf Data Structure and Algorithmic Thinking with Python - Narasimha Karumanchi.pdf

./sub: DataScience: 0 Minning of Massive Datasets - Jure Leskovec, Anand Rajaraman, Jeffrey Ullman.pdf 1 Hands on Machine Learning: Scikit-Learn_Keras_TensorFlow - Aurélien Géron.pdf Building Machine Learning Powered Applications - Emmanuel Ameisen.pdf Dive into Deep Learning - Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola.pdf Graph Algorithms in Apache Spark_Neo4j - Mark Needham, Amy Hodler.pdf Introduction to Information Retrival - Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze.pdf Introduction to Machine Learning with Python - Andreas C. Mueller, Sarah Guido .pdf Practical Machine Learning with Python - Dipanjan Sarkar, Raghav Bali, Tushar Sharma.pdf Real-World Machine Learning - Henry Brink, Joseph Richards, Mark Fetherolf.pdf The Hundred Page Machine Learning Book - Andriy Burkov.pdf

./sub: NLP: Natural Language Processing with Python - Steven Bird, Ewan Klein, Edward Loper.pdf Natural Language Processing with TensorFlow - Thushan Ganegedara.pdf Speech and Language Processing - Daniel Jurafsky, James Martin.pdf

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