10. Irodalomjegyzék

1. Simon Harris, James Ross: Kezdőkönyv az algoritmusokról, (Szak Kiadó, 2006).

2. Gérard Swinnen: Tanuljunk meg programozni Python nyelven, (O’Reilly, 2005).

3. Pohl László: A programozás alapjai, (BME, 2010)

4. Narasimha Karumanchi: Data Structures and Algorithmic Thinking with Python, (CareerMonk, 2017).

5. Peter Wentworth, Jeffrey Elkner, Allen B. Downey and Chris Meyers: How to Think Like a Computer Scientist: Learning with Python 3, (online, 2012).

6. Metrowerks CodeWarrior: Principles of Programing, (online, 1995).

7. Brajendra Singh, Jignesh Rawal, Pathik Rawal: Algorithm, Pseudocode and Flowchart: Learn Algorithm in Simple Steps, (Kindle edition).

8. Brad Miller, David Ranum: Problem Solving with Algorithms and Data Structures, (Franklin, Beedle & Associates, 2011).

9. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein: Introduction to Algorithms, (MIT Press, 2009).

10. Michel Johnson: How to Use Flow Charts to Show how Processes, (Kindle, 2017).

11. Adrian Kingsley-Hughes, Kathie Kingsley-Hughes: Beginning Programming, (Wiley Publishing, 2005).

12. David Riley, Kenny A. Hunt: Computational Thinking for the Modern Problem Solver, (Chapman & Hall Book / CRC Press, 2014).

13. Robert Sedgewick, K. Wayne: Algorithms, (Pearson Education, 2011).