problem solving and python programming lab manual pdf

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[PDF] GE8161 Problem Solving and Python Programming Lab Manual R-2017

Download GE8161 Problem Solving and Python Programming Lab Manual for the Anna University Regulation 2017 students. LearnEngineering.in have taken a effort to provide the Regulation 2017 Lab Manual in a PDF Format in order to make a understanding of Lab in the easiest manner to develop the students’ knowledge.

Download link is provided below to ensure for the Students to download the Regulation 2017 Anna University GE8161 Problem Solving and Python Programming Lab Manual. All the materials that we are provided for the students is to score Good (maximum) marks. The below E8161 Problem Solving and Python Programming Lab Manual material is to ensure a Good Knowledge in their Practical to develop a new innovative things to our Society.

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GE8161 Problem Solving and Python Programming Laboratory Lab Manual – Ist Sem

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GE8161 PSPP LAB SYLLABUS

We are providing the GE8161 Problem Solving and Python Programming Laboratory Syllabus and Lab Manual below for your Lab examination success. use our Materials to score good marks in the Lab examination. Best of Luck.

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:

• Compute the GCD of two numbers.
• Find the square root of a number (Newton’s method)
• Exponentiation (power of a number)
• Find the maximum of a list of numbers
• Linear search and Binary search
• Selection sort, Insertion sort
• First n prime numbers
• Multiply matrices
• Programs that take command line arguments (word count)
• Find the most frequent words in a text read from a file
• Simulate elliptical orbits in Pygame
• Simulate bouncing ball using Pygame

PLATFORM NEEDED

Python 3 interpreter for Windows/Linux

TOTAL: 60 PERIODS

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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Problem Solving and Python Programming PDF

Download Problem Solving and Python Programming PDF

Description

Table of contents.

Title Contents Unit 1 Introduction to Computing and Algorithmic Problem Solving 1 Introduction to Digital Computer 2 Problem Solving Strategies Appendix A Practice Exercises with Algorithm and Flow Chart Appendix B Problem Solving Exercises with Algorithms and Pseudocode Unit 2 Introduction to Python and Data, Expressions, Statements 3 Introduction to Python Unit 3 Functions 4 Functions Unit 4 Lists, Tuples and Dictionaries 5 Strings and Lists 6 Tuples and Dictionaries Unit 5 Files, Modules and Packages 7 Files and Exceptions 8 Classes and Objects Appendix C Fundamental Standard Library Modules

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GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Regulation 2021 Anna University

• Post author By Mr. Padeepz
• Post date October 31, 2021
• No Comments on GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Regulation 2021 Anna University

GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY

GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Regulation 2021 Anna University free download. PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Syllabus GE3171 pdf download free.

COURSE OBJECTIVES: 􀁸 To understand the problem solving approaches. 􀁸 To learn the basic programming constructs in Python. 􀁸 To practice various computing strategies for Python-based solutions to real world problems. 􀁸 To use Python data structures – lists, tuples, dictionaries. 􀁸 To do input/output with files in Python.

EXPERIMENTS: GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Note: The examples suggested in each experiment are only indicative. The lab instructor is expected to design other problems on similar lines. The Examination shall not be restricted to the sample experiments listed here. 1. Identification and solving of simple real life or scientific or technical problems, and developing flow charts for the same. (Electricity Billing, Retail shop billing, Sin series, weight of a motorbike, Weight of a steel bar, compute Electrical Current in Three Phase AC Circuit, etc.) 2. Python programming using simple statements and expressions (exchange the values of two variables, circulate the values of n variables, distance between two points). 3. Scientific problems using Conditionals and Iterative loops. (Number series, Number Patterns, pyramid pattern)

4. Implementing real-time/technical applications using Lists, Tuples. (Items present in a library/Components of a car/ Materials required for construction of a building –operations of list & tuples) 5. Implementing real-time/technical applications using Sets, Dictionaries. (Language, components of an automobile, Elements of a civil structure, etc.- operations of Sets &  Dictionaries) GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY 6. Implementing programs using Functions. (Factorial, largest number in a list, area of shape) 7. Implementing programs using Strings. (reverse, palindrome, character count, replacing characters) 8. Implementing programs using written modules and Python Standard Libraries (pandas,  numpy. Matplotlib, scipy) 9. Implementing real-time/technical applications using File handling. (copy from one file to  another, word count, longest word) 10. Implementing real-time/technical applications using Exception handling. (divide by zero error, voter’s age validity, student mark range validation) 11. Exploring Pygame tool. 12. Developing a game activity using Pygame like bouncing ball, car race etc.

TOTAL: 60 PERIODS

COURSE OUTCOMES:

On completion of the course, students will be able to: CO1: Develop algorithmic solutions to simple computational problems CO2: Develop and execute simple Python programs. CO3: Implement programs in Python using conditionals and loops for solving problems. CO4: Deploy functions to decompose a Python program. CO5: Process compound data using Python data structures. CO6: Utilize Python packages in developing software applications.

TEXT BOOKS: GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY

1. Allen B. Downey, “Think Python : How to Think like a Computer Scientist”, 2nd Edition, O’Reilly Publishers, 2016. 2. Karl Beecher, “Computational Thinking: A Beginner’s Guide to Problem Solving and Programming”, 1st Edition, BCS Learning & Development Limited, 2017.

REFERENCES:

1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition, 2021. 2. G Venkatesh and Madhavan Mukund, “Computational Thinking: A Primer for Programmers and Data Scientists”, 1st Edition, Notion Press, 2021. 3. John V Guttag, “Introduction to Computation and Programming Using Python: With Applications to Computational Modeling and Understanding Data‘‘, Third Edition, MIT Press, 2021 4. Eric Matthes, “Python Crash Course, A Hands – on Project Based Introduction to Programming”, 2nd Edition, No Starch Press, 2019. 5. https://www.python.org/ 6. Martin C. Brown, “Python: The Complete Reference”, 4th Edition, Mc-Graw Hill, 2018.

GE3171 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING LABORATORY Click Here To Download

Lab Manual In Padeepz App – Click Here To Download

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