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Computational thinking for life scientists BY

By: Material type: TextTextPublication details: NY: Cambridge University press, c2022.Edition: 1Description: 209PISBN:
  • 9781316647592
Subject(s): DDC classification:
  • 1 570.285 CHO-C
Contents:
Introduction; Part I. Programming in Python: 1. Crash introduction to python; 2. Efficiency matters - gentle intro to complexity; Part II. Sequences: 3. Sets dictionaries and hashing; 4. Regular expressions and biological patterns; Part III. Networks: 5. Basic notions in graph theory; 6. Shortest paths and breadth first search; 7. Simulation of regulatory networks; Part IV. Images: 8. Digital images representation; 9. Image processing; Part V. Limitations of Computing: 10. Mission impossible; 11. Mission infeasible; Index.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics 570.285 CHO-C (Browse shelf(Opens below)) Available DCB4278

Introduction; Part I. Programming in Python: 1. Crash introduction to python; 2. Efficiency matters - gentle intro to complexity; Part II. Sequences: 3. Sets dictionaries and hashing; 4. Regular expressions and biological patterns; Part III. Networks: 5. Basic notions in graph theory; 6. Shortest paths and breadth first search; 7. Simulation of regulatory networks; Part IV. Images: 8. Digital images representation; 9. Image processing; Part V. Limitations of Computing: 10. Mission impossible; 11. Mission infeasible; Index.

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