problem solving and python programming notes

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[PDF] GE3151 Problem Solving and Python Programming (PSPP) Books, Lecture Notes, 2 marks with answers, Important Part B 16 Marks Questions, Question Bank & Syllabus

Download GE3151 Problem Solving and Python Programming (PSPP) Books Lecture Notes Syllabus Part-A 2 marks with answers GE3151 Problem Solving and Python Programming Important Part-B 16 marks Questions , PDF Books, Question Bank with answers Key, GE3151 Problem Solving and Python Programming Syllabus & Anna University GE3151 Problem Solving and Python Programming Question Papers Collection.

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Download link is provided for Students to download the Anna University GE3151 Problem Solving and Python Programming Syllabus Question Bank Lecture Notes Part A 2 marks with answers & Part B 16 marks Question Bank with answer , Anna University Question Paper Collection, All the materials are listed below for the students to make use of it and get good (maximum) marks with our study materials.

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GE3151 PROBLEM SOLVING AND PYTHON PROGRAMMING

UNIT I COMPUTATIONAL THINKING AND PROBLEM SOLVING

Fundamentals of Computing – Identification of Computational Problems -Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion). Illustrative problems: find minimum in a list, insert a card in a list of sorted cards, guess an integer number in a range, Towers of Hanoi.

UNIT II DATA TYPES, EXPRESSIONS, STATEMENTS

Python interpreter and interactive mode, debugging; values and types: int, float, boolean, string, and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, distance between two points.

UNIT III CONTROL FLOW, FUNCTIONS, STRINGS

Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional (if-elif-else); Iteration: state, while, for, break, continue, pass; Fruitful functions: return values, parameters, local and global scope, function composition, recursion; Strings: string slices, immutability, string functions and methods, string module; Lists as arrays. Illustrative programs: square root, gcd, exponentiation, sum an array of numbers, linear search, binary search.

UNIT IV LISTS, TUPLES, DICTIONARIES

Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters; Tuples: tuple assignment, tuple as return value; Dictionaries: operations and methods; advanced list processing – list comprehension; Illustrative programs: simple sorting, histogram, Students marks statement, Retail bill preparation.

UNIT V FILES, MODULES, PACKAGES

Files and exception: text files, reading and writing files, format operator; command line arguments, errors and exceptions, handling exceptions, modules, packages; Illustrative programs: word count, copy file, Voter’s age validation, Marks range validation (0-100).

  TEXT BOOKS:

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

REFERENCES:

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

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Anna University GE3151 Problem Solving and Python Programming Books Question Banks Lecture Notes Syllabus GE3151 Problem Solving and Python Programming Part A 2 Marks with Answers Part – B 16 Marks Questions with Answers & Anna University GE3151 Problem Solving and Python Programming Question Paper Collection and Local Author Books.

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Practice Python Exercises and Challenges with Solutions

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Basic Exercise for Beginners

Practice and Quickly learn Python’s necessary skills by solving simple questions and problems.

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Python Tuple Exercise

This exercise aims to help Python developers to learn and practice tuple operations.

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Use any of the MySQL, PostgreSQL, SQLite to solve the exercise

Exercises for Intermediate developers

The following practice questions are for intermediate Python developers.

If you have not solved the above exercises, please complete them to understand and practice each topic in detail. After that, you can solve the below questions quickly.

Exercise 1: Reverse each word of a string

Expected Output

• Use the split() method to split a string into a list of words.
• Reverse each word from a list
• finally, use the join() function to convert a list into a string

Steps to solve this question :

• Split the given string into a list of words using the split() method
• Use a list comprehension to create a new list by reversing each word from a list.
• Use the join() function to convert the new list into a string
• Display the resultant string

Exercise 2: Read text file into a variable and replace all newlines with space

Given : Assume you have a following text file (sample.txt).

Expected Output :

• First, read a text file.
• Next, use string replace() function to replace all newlines ( \n ) with space ( ' ' ).

Steps to solve this question : -

• First, open the file in a read mode
• Next, read all content from a file using the read() function and assign it to a variable.
• Display final string

Exercise 3: Remove items from a list while iterating

Description :

In this question, You need to remove items from a list while iterating but without creating a different copy of a list.

Remove numbers greater than 50

Expected Output : -

• Get the list's size
• Iterate list using while loop
• Check if the number is greater than 50
• If yes, delete the item using a del keyword
• Reduce the list size

Solution 1: Using while loop

Solution 2: Using for loop and range()

Exercise 4: Reverse Dictionary mapping

Exercise 5: display all duplicate items from a list.

• Use the counter() method of the collection module.
• Create a dictionary that will maintain the count of each item of a list. Next, Fetch all keys whose value is greater than 2

Solution 1 : - Using collections.Counter()

Solution 2 : -

Exercise 6: Filter dictionary to contain keys present in the given list

Exercise 7: print the following number pattern.

Refer to Print patterns in Python to solve this question.

• Use two for loops
• The outer loop is reverse for loop from 5 to 0
• Increment value of x by 1 in each iteration of an outer loop
• The inner loop will iterate from 0 to the value of i of the outer loop
• Print value of x in each iteration of an inner loop
• Print newline at the end of each outer loop

Exercise 8: Create an inner function

Question description : -

• Create an outer function that will accept two strings, x and y . ( x= 'Emma' and y = 'Kelly' .
• Create an inner function inside an outer function that will concatenate x and y.
• At last, an outer function will join the word 'developer' to it.

Exercise 9: Modify the element of a nested list inside the following list

Change the element 35 to 3500

Exercise 10: Access the nested key increment from the following dictionary

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Python Object-Oriented Programming (OOP) Exercise: Classes and Objects Exercises

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Problem Solving and Python Programming (GE8151) Notes, Question Papers & Syllabus

APR/MAY 2023 EXAMS

Problem Solving and Programming | Unit 1 – 6 Notes

Course objectives:.

Prime objective is to give students a basic introduction to programming and problem solving with computer language Python. And to introduce students not merely to the coding of computer programs, but to computational thinking, the methodology of computer programming, and the principles of good program design including modularity and encapsulation.

• To understand problem solving, problem solving aspects, programming and to know about various program design tools.
• To learn problem solving with computers
• To learn basics, features and future of Python programming.
• To acquaint with data types, input output statements, decision making, looping and functions in Python
• To learn features of Object Oriented Programming using Python
• To acquaint with the use and benefits of files handling in Python

Examination Scheme:

In Semester : 30 Marks End Semester: 70 Marks PR: 25 Marks

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Unit I: Problem Solving, Programming and Python Programming

General Problem Solving Concepts- Problem solving in everyday life, types of problems, problem solving with computers, difficulties with problem solving, problem solving aspects, top down design. Problem Solving Strategies, Program Design Tools: Algorithms, Flowcharts and Pseudo-codes, implementation of algorithms. Basics of Python Programming: Features of Python, History and Future of Python, Writing and executing Python program, Literal constants, variables and identifiers, Data Types, Input operation, Comments, Reserved words, Indentation, Operators and expressions, Expressions in Python.

Unit 2: Decision Control Statements

Decision Control Statements: Decision control statements, Selection/conditional branching Statements: if, if-else, nested if, if-elif-else statements. Basic loop Structures/Iterative statements: while loop, for loop, selecting appropriate loop. Nested loops, The break, continue, pass, else statement used with loops. Other data types- Tuples, Lists and Dictionary.

Unit 3: Functions and Modules

Need for functions, Function: definition, call, variable scope and lifetime, the return statement. Defining functions, Lambda or anonymous function, documentation string, good programming practices. Introduction to modules, Introduction to packages in Python, Introduction to standard library modules.

Unit 4: Strings

Strings and Operations- concatenation, appending, multiplication and slicing. Strings are immutable, strings formatting operator, built in string methods and functions. Slice operation, ord() and chr() functions, in and not in operators, comparing strings, Iterating strings, the string module.

Unit 5: Object Oriented Programming

Programming Paradigms-monolithic, procedural, structured and object oriented, Features of Object oriented programming-classes, objects, methods and message passing, inheritance, polymorphism, containership, reusability, delegation, data abstraction and encapsulation. Classes and Objects: classes and objects, class method and self object, class variables and object variables, public and private members, class methods.

Unit 6: File Handling and Dictionaries

Files: Introduction, File path, Types of files, Opening and Closing files, Reading and Writing files. Dictionary method. Dictionaries- creating, assessing, adding and updating values. Case Study: Study design, features, and use of any recent, popular and efficient system developed using Python. (This topic is to be excluded for theory examination).

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GE3151 – Problem Solving And Python Programming Syllabus Regulation 2021 Anna University

January 17, 2024 by Raju

Anna University, Subject code – GE3151, deals with the B.E civil Engineering Semester – I Problem Solving And Python Programming Syllabus regulation 2021 relating to affiliated institutions. From here, Students can get assistance in preparing notes to excel in academic performance.

We include every topic of the Problem Solving And Python Programming Syllabus, to understand the subject very well. It will help you to improve your idea of syllabus of GE3151 – Problem Solving And Python Programming Syllabus on your finger tips to go ahead in a clear path of preparation. In this following article Problem Solving And Python Programming Syllabus , will help you, Hope you share with your friends.

If you want to know more about the syllabus of B.E Civil Engineering connected to an affiliated institution’s under four-year undergraduate degree programme. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E Civil Engineering Syllabus Anna University, Regulation 2021.

Aim Of Concept:

• To understand the basics of algorithmic problem-solving.
• To learn to solve problems using Python conditionals and loops.
• To define Python functions and use function calls to solve problems.
• To use Python data structures – lists, tuples, dictionaries to represent complex data.
•  To do input/output with files in Python.

GE3151 – Problem Solving And Python Programming Syllabus

Unit I: Computational Thinking And Problem Solving

Fundamentals of Computing – Identification of Computational Problems -Algorithms, building blocks of algorithms (statements, state, control flow, functions), notation (pseudo code, flow chart, programming language), algorithmic problem solving, simple strategies for developing algorithms (iteration, recursion). Illustrative problems: find minimum in a list, insert a card in a list of sorted cards, guess an integer number in a range, Towers of Hanoi.

Unit II: Data Types, Expressions, Statements

Python interpreter and interactive mode, debugging; values and types: int, float, boolean, string, and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, distance between two points.

Unit III: Control Flow, Functions, Strings

Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional (if-elif-else); Iteration: state, while, for, break, continue, pass; Fruitful functions: return values, parameters, local and global scope, function composition, recursion; Strings: string slices, immutability, string functions and methods, string module; Lists as arrays. Illustrative programs: square root, gcd, exponentiation, sum an array of numbers, linear search, binary search.

Unit IV: Lists, Tuples, Dictionaries

Lists: list operations, list slices, list methods, list loop, mutability, aliasing, cloning lists, list parameters; Tuples: tuple assignment, tuple as return value; Dictionaries: operations and methods; advanced list processing – list comprehension; Illustrative programs: simple sorting, histogram, Students marks statement, Retail bill preparation.

Unit V: Files, Modules, Packages

Files and exception: text files, reading and writing files, format operator; command line arguments, errors and exceptions, handling exceptions, modules, packages; Illustrative programs: word count, copy file, Voter’s age validation, Marks range validation (0-100).

Text Books:

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

References:

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

Get details of other branches which are providing by the anna university under four year undergraduate programme connected to affiliated institutions in detailed way in this link,  Anna University Regulation 2021.

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[PDF] GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual)

Download GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) from the below link. The students & the lectures can download the Anna University GE3171 Problem Solving and Python Programming Lab Manual for their Laboratory examination in the first semester examination of GE3171 subject. The students to make use of it and score good (maximum) marks in the exams with our study materials.

“GE3171 Problem Solving and Python Programming Lab Manual”

“GE3171 Problem Solving and Python Programming Laboratory Manual PDF”

“GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual)”

“Download GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual)”

You all must have this kind of questions in your mind. The below article will solve this puzzle of yours. Just take a look and download the study materials.

GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual)

• 1.1 GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Syllabus
• 1.2 Download Link
• 1.3 GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Syllabus
• 1.4 GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual)
• 1.5 Anna University Useful Links
• 1.6 Other Useful Links
• 1.7 GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) – FAQ

GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) – Details

GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Syllabus

• 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.)
• Python programming using simple statements and expressions (exchange the values of two variables, circulate the values of n variables, distance between two points).
• Scientific problems using Conditionals and Iterative loops. (Number series, Number Patterns, pyramid pattern)
• 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)
• Implementing real-time/technical applications using Sets, Dictionaries. (Language, components of an automobile, Elements of a civil structure, etc.- operations of Sets & Dictionaries)
• Implementing programs using Functions. (Factorial, largest number in a list, area of shape)
• Implementing programs using Strings. (reverse, palindrome, character count, replacing characters)
• Implementing programs using written modules and Python Standard Libraries (pandas, numpy. Matplotlib, scipy)
• Implementing real-time/technical applications using File handling. (copy from one file to another, word count, longest word)
• Implementing real-time/technical applications using Exception handling. (divide by zero error, voter’s age validity, student mark range validation)
• Exploring Pygame tool.
• Developing a game activity using Pygame like bouncing ball, car race etc.

Download Link

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• Regulation 2021 GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Syllabus – DOWNLOAD
• GE3171 Lab Manual Collection 1 – DOWNLOAD
• GE3171 Lab Manual Collection 2 – DOWNLOAD

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GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) – FAQ

What is the Full Form of the Subject Code GE3171?

The Full Form of Subject Code GE3171 is Problem Solving and Python Programming Laboratory Manual .

How to Download GE3171 Lab Manual?

The students can download the GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) on the EasyEngineering website for preparing their upcoming First Semester examination.

Where to Download GE3171 Lab Manual PDF?

On the EasyEngineering GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) page, the students can download the Lab Manual PDF , which contains list of Experiment/ Exercises.

In which regulation semester exam GE3171 subject is studied?

The GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) subject is studied by the Anna University Students of First Year in their First Semester Examination of 2021 Regulation .

How to download Anna University GE3171 syllabus?

The GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Syllabus is directly downloaded from the Anna University Regulation 2021 Syllabus page on the EasyEngineering.

How to check Anna University GE3171 Internal Marks?

The GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Anna University Internal marks can be check by the students from the official portal of Anna University ( coe1.annauniv.edu ) . The steps to check the Anna University Internal marks are clearly explained in the EasyEngineering Anna University Internal Mark checking page.

How to check Anna University GE3171 exam results?

The GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Anna University semester examination results can be check by the students from the official result checking pages/portals (i.e., aucoe.annauniv.edu or coe1.annauniv.edu ). Also, In the EasyEngineering website the Results checking page are available to check the Anna University current semester examination results quickly.

How to check Anna University GE3171 Grace marks details?

In the Easyengineering GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) page contains the grace mark details to notify the students to know about the grace marks provided by Anna University for the invalid or out of portions/syllabus questions asked in the current First Semester GE3171 exam.

Which Engineering department is studying the GE3171 as one subject?

The GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) subject is studied by the Anna University First Year students of Common For all departments such us Civil Engineering (CE), Mechanical Engineering (ME), Electrical and Electronics Engineering (EEE), Electronics and Communication Engineering (ECE), Electronics and Instrumentation Engineering (EIE), Computer Science Engineering (CSE), Aeronautical Engineering, Automobile Engineering & Other departments as one subject in their First Semester examination.

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