Bibliography

C/C++
  • Beginner
  • C How to Program, Seventh Edition, by Paul Deitel and Harvey Deitel
       ISBN-13: 978-0132990448, ISBN-10: 013299044X
  • C Primer Plus, Fifth Edition, Stephen Prata, SAMS, 2004
       ISBN 10: 0672326965
    • Advanced
  • C++ Primer (5th edition), Stanley Lippman and Josee Lajoie,
       Addison-Wesley Professional,
       ISBN-10: 0321714113 ISBN-13: 978-0321714114
  • C: A Reference Manual, 5th Edition, Harbison and Steele Jr., 2002,
       Prentice Hall, ISBN-10: 013089592X, ISBN-13: 978-0130895929.
  • C How to Program, 7th Edition, Deitel and Deital,
       Prentice Hall, 2012, ISBN-10: 013299044X, ISBN-13: 978-0132990448.
  • Applications Programming in C++, Richard Johnsonbaugh and Martin Kalin,
       Prentice Hall, ISBN-10: 0137489633, ISBN-13: 978-0137489633.
  • Object-Oriented Programming in C++,
       Richard Johnsonbaugh and Martin Kalin,
       Prentice-Hall, ISBN-10: 0023606827, ISBN-13: 978-0023606823.
  • Problem Solving with C++: The Object of Programming, 3rd Edition,
       Walter Savitch,
       Addison Wesley, ISBN-10: 0201703904, ISBN-13: 978-0201703900.
      • Java
        Beginner
      • Introduction to Java Programming, Comprehensive, 10th ed.,
           Y. Daniel Liang, 2014.
           ISBN-10: 0133813460, ISBN-13: 9780133813463.
      • Murach’s Java Programming, 4th Edition, Joel Murach, Mike Murach & Associates, 2011.
           ISBN-10: 1890774650, ISBN-13: 9781890774653.
        • Advanced
      • Java The Complete Reference, 8th Edition, Herbert Schildt,
           McGraw-Hills, 2011, ISBN-10: 0080435928, ISBN-13: 978-0070435926.
          • Python
          • Beginner
          • Python.org - Python Tutorial
            • Advanced
          • Lutz, Mark. Learning python, 5th ed. O'Reilly Media, Inc., 2013.
               ISBN-10: 1449355730 ISBN-13: 9781449355739
          • David M. Beazley. Python Essential Reference. 4th edition,
               Addison-Wesley Professional, 2009.
               ISBN-10: 0672329786 ISBN-13: 9780672329784
          • Wes McKinney, Python for Data Analysis
          • Muller & guido, Introduction to Machine Learning with Python
          • Coelho and Richert, Building Machine Learning Systems with Python
          • Francois Chollet, Deep learning with Python
          • Yuxi Liu, Python machine Learning By Example
          • Alessandro Molina, Modern Python Standard Library Cookbook
              • General
                Algorithms
              • Introduction to Algorithms, 3rd edition, Thomas H. Cormen,
                   Charles E. Leiserson, Ronald L. Rivest and Clifford Stein
                   ISBN:0262033844
              • Data Structures and Algorithm Analysis in C++, 4th Edition,
                   Mark Allen Weiss
              • The Algorithm Design Manual by Steven S. Skiena
              • An Introduction to the Analysis of Algorithms,
                   by Robert Sedgewick and Philippe Flajolet
              • Algorithms by Dasgupta, Papadimitriou, and Vazirani
              • Wikipedia Algorithmic paradigm
              • Linux
              • UNIX Unbounded: A Beginning Approach, 5th Edition, Amir Afzal,
                   Prentice Hall, 2007, ISBN-10: 0131194496, ISBN-13: 978-0131194496.
              • Performance Tuning for Linux Servers, Sandra K. Johnson, et al.,
                   IBM Press, 2005, ISBN-10: 013144753X, ISBN-13: 978-0131447530.
              • System Performance: Enterprise and the Cloud By Brendan Gregg
                   ISBN-10: 0-13-339009-8
              • Linux Kernel in a Nutshell, Greg Kroah-Hartman, 2006,
                   ISBN-10: 0596100795, ISBN-13: 978-0596100797.
              • Professional Linux Kernel Architecture, Wolfgang Mauerer, 2008,
                   ISBN-10: 0470343435, ISBN-13: 978-0470343432.
              • Linux Kernel Development, 3rd Edition, Robert Love,
                   Addison-Wesley, 2010, ISBN-10: 0672329468, ISBN-13: 978-0672329463.
              • Understanding the Linux Kernel, 3rd Edition, Daniel Bovet and Marco Cesati,
                   O'Reilly Media, ISBN-10: 0596005652, ISBN-13: 978-0596005658.
              • Linux Kernel Development, 3rd Edition, Robert Love,
                   Addison-Wesley, 2010, ISBN-10: 0672329468, ISBN-13: 978-0672329463.
              • Object-Oriented
              • Design Patterns: Elements of Reusable Object-Oriented Software
                   by Erich Gamma, Richard Helm, Ralph Johnson, John Vlissides,
                   Grady Booch (Foreword), Addison-Wesley,
                   ISBN-10: 0201633612, ISBN-13: 978-0201633610.
              • Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development,
                   3rd Edition, Craig Larman,
                   Prentice Hall, ISBN-10: 0131489062, ISBN-13: 978-0131489066.
              • UML Distilled: A Brief Guide to the Standard Object Modeling Language, 3rd Edition, Martin Fowler,
                   Addison-Wesley, ISBN-10: 0321193687, ISBN-13: 978-0321193681.
                  • Data Science
                  • Machine Learning
                  • Machine Learning, Tom Mitchell, McGraw Hill, 1997.
                  • Machine Learning in Python by Michael Bowles, 2015
                  • Statistics
                  • Statistical Modeling: A Fresh Approach by David Kaplan
                  • Confidence Interval Explained
                    • Papers
                    • Blockchain
                    • Blockchain
                    • Hadoop
                    • Google MapReduce 2004 Paper
                    • Google Bigtable 2006 paper
                    • Google Chubby Zookeeper 2006 paper
                    • Google Dremel 2010 paper
                    • Google HDFS 2010 paper
                    • good ol' google

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