Learning Scientific Programming with Python (2nd edition)
Chapter 4: The Core Python Language II
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Examples
- E4.1: Assignment vs. the comparison operator
- E4.2: Exception tracebacks
- E4.3: String representation of vectors
- E4.4: Vector cross product
- E4.5: try ... except ... else ... finally
- E4.6: A simple dictionary of Roman numerals
- E4.7: A simple database of astronomical objects
- E4.8: Word lengths in the first line of the Gettysburg Address
- E4.9: Mersenne primes
- E4.10: The matrix transpose by list comprehension
- E4.11: lambda functions
- E4.12: Sorting methods
- E4.13: Triangular numbers
- E4.14: Assignment expressions (the walrus operator)
- E4.15: Issuing a usage method
- E4.16: Batch renaming of files
- E4.17: The Monty Hall problem
- E4.18: A simple Python class
- E4.19: The random-flight polymer
- E4.20: A 2D vector class
- E4.21: A simple 2D molecular dynamics simulation
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Questions
- Q4.1.1: The else block of a try ... except clause
- Q4.1.2: The finally block of a try ... except clause
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Problems
- P4.1.1: Average air-speed of an unladen African swallow
- P4.1.2: String representation of a vector
- P4.1.3: Raising an exception on $0^0$
- P4.2.1: Resistor colour codes
- P4.2.2: The most 100 frequent words in Moby Dick
- P4.2.3: A reverse polish notation calculator
- P4.2.4: A Morse Code generator
- P4.2.5: Shark species
- P4.3.1: Matrix trace
- P4.3.2: The ROT-13 cypher
- P4.3.3: Rule 30
- P4.3.4: IBAN code lengths
- P4.3.5: Power sets
- P4.3.6: Word analysis