GE8161 PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY
OBJECTIVES:
• To write, test, and debug simple Python programs.
• To implement Python programs with conditionals and loops.
• Use functions for structuring Python programs.
• Represent compound data using Python lists, tuples, dictionaries.
• Read and write data from/to files in Python.
LIST OF PROGRAMS
1. Compute the GCD of two numbers.
2. Find the square root of a number (Newton’s method)
3. Exponentiation (power of a number)
4. Find the maximum of a list of numbers
5. Linear search and Binary search
6. Selection sort, Insertion sort
7. Merge sort
8. First n prime numbers
9. Multiply matrices
10. Programs that take command line arguments (word count)
11. Find the most frequent words in a text read from a file
12. Simulate elliptical orbits in Pygame
13. Simulate bouncing ball using Pygame PLATFORM NEEDED Python 3 interpreter for Windows/Linux
TOTAL :
60 PERIODS OUTCOMES:
Upon completion of the course, students will be able to
• Write, test, and debug simple Python programs.
OBJECTIVES:
• To write, test, and debug simple Python programs.
• To implement Python programs with conditionals and loops.
• Use functions for structuring Python programs.
• Represent compound data using Python lists, tuples, dictionaries.
• Read and write data from/to files in Python.
LIST OF PROGRAMS
1. Compute the GCD of two numbers.
2. Find the square root of a number (Newton’s method)
3. Exponentiation (power of a number)
4. Find the maximum of a list of numbers
5. Linear search and Binary search
6. Selection sort, Insertion sort
7. Merge sort
8. First n prime numbers
9. Multiply matrices
10. Programs that take command line arguments (word count)
11. Find the most frequent words in a text read from a file
12. Simulate elliptical orbits in Pygame
13. Simulate bouncing ball using Pygame PLATFORM NEEDED Python 3 interpreter for Windows/Linux
60 PERIODS OUTCOMES:
Upon completion of the course, students will be able to
• Write, test, and debug simple Python programs.
• Implement Python programs with conditionals and loops.
• Develop Python programs step-wise by defining functions and calling them.
• Use Python lists, tuples, dictionaries for representing compound data.
• Read and write data from/to files in Python.
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