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Chapter 1: Python Primer (Solutions to Data Structures and Algorithms in Python)
Solution to Data Structures and Algorithms in Python P-1.36: word_frequency()
Solution to Data Structures and Algorithms in Python P-1.35: birthday_paradox()
Solution to Data Structures and Algorithms in Python P-1.34: make_typos()
Solution to Data Structures and Algorithms in Python P-1.33: Handheld Calculator
Solution to Data Structures and Algorithms in Python P-1.32: Calculator
Solution to Data Structures and Algorithms in Python P-1.31: make_change()
Solution to Data Structures and Algorithms in Python P-1.30: get_log()
Solution to Data Structures and Algorithms in Python P-1.29: get_combinations()
Solution to Data Structures and Algorithms in Python C-1.28: norm()
Solution to Data Structures and Algorithms in Python C-1.27: factors()
Solution to Data Structures and Algorithms in Python C-1.26: check_arithmetic()
Solution to Data Structures and Algorithms in Python C-1.25: remove_punctuation()
Solution to Data Structures and Algorithms in Python C-1.24: count_vowels()
Solution to Data Structures and Algorithms in Python C-1.23: IndexError
Solution to Data Structures and Algorithms in Python C-1.22: dot_product()
Solution to Data Structures and Algorithms in Python C-1.21: EOFError
Solution to Data Structures and Algorithms in Python C-1.20: randint()
Solution to Data Structures and Algorithms in Python C-1.19: chr()
Solution to Data Structures and Algorithms in Python C-1.18
Solution to Data Structures and Algorithms in Python C1.14 - C1.15: set()
Solution to Data Structures and Algorithms in Python R-1.12: randrange()
Solution to Data Structures and Algorithms in Python R1.8 - R1.11 range()
Solution to Data Structures and Algorithms in Python R1.6 - R1.7: sum_square_odds()
Solution to Data Structures and Algorithms in Python R1.4 - R1.5: sum_squares()
Solution to Data Structures and Algorithms in Python R-1.3: minmax()
Solution to Data Structures and Algorithms in Python R-1.2: is_even()
Solution to Data Structures and Algorithms in Python R-1.1: is_multiple()
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