1. "Introduction to the Theory of Computation" by Michael Sipser
  2. "Clean Code: A Handbook of Agile Software Craftsmanship" by Robert C. Martin
  3. "The Pragmatic Programmer: Your Journey to Mastery" by Andrew Hunt and David Thomas
  4. "Design Patterns: Elements of Reusable Object-Oriented Software" by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides
  5. "Computer Networks: A Systems Approach" by Larry L. Peterson and Bruce S. Davie
  6. "Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig
  7. "Operating System Concepts" by Abraham Silberschatz, Peter B. Galvin, and Greg Gagne
  8. "Introduction to Algorithms" by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein
  9. "Database System Concepts" by Abraham Silberschatz, Henry F. Korth, and S. Sudarshan
  10. "Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking" by Foster Provost and Tom Fawcett
  11. Fortran for Scientists and Engineers" by Stephen J. Chapman
  12. "Modern Fortran Explained" by Michael Metcalf, John Reid, and Malcolm Cohen
  13. "Introduction to Scientific Programming and Simulation Using R" by Owen Jones, Robert Maillardet, and Andrew Robinson (Ce livre couvre également le langage R, qui est souvent utilisé en conjonction avec Fortran dans des applications scientifiques.)
  14. "Structured Fortran 77 for Engineers and Scientists" by D. M. Ette
Modifié le: vendredi 12 avril 2024, 23:26