python problem solving questions pdf

Python Programming

Practice Python Exercises and Challenges with Solutions

Free Coding Exercises for Python Developers. Exercises cover Python Basics , Data structure , to Data analytics . As of now, this page contains 18 Exercises.

What included in these Python Exercises?

Each exercise contains specific Python topic questions you need to practice and solve. These free exercises are nothing but Python assignments for the practice where you need to solve different programs and challenges.

• All exercises are tested on Python 3.
• Each exercise has 10-20 Questions.
• The solution is provided for every question.
• Practice each Exercise in Online Code Editor

These Python programming exercises are suitable for all Python developers. If you are a beginner, you will have a better understanding of Python after solving these exercises. Below is the list of exercises.

Select the exercise you want to solve .

Basic Exercise for Beginners

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

Topics : Variables, Operators, Loops, String, Numbers, List

Python Input and Output Exercise

Solve input and output operations in Python. Also, we practice file handling.

Topics : print() and input() , File I/O

Python Loop Exercise

This Python loop exercise aims to help developers to practice branching and Looping techniques in Python.

Topics : If-else statements, loop, and while loop.

Python Functions Exercise

Practice how to create a function, nested functions, and use the function arguments effectively in Python by solving different questions.

Topics : Functions arguments, built-in functions.

Python String Exercise

Solve Python String exercise to learn and practice String operations and manipulations.

Python Data Structure Exercise

Practice widely used Python types such as List, Set, Dictionary, and Tuple operations in Python

Python List Exercise

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

Python Dictionary Exercise

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

Python Set Exercise

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

Python Tuple Exercise

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

Python Date and Time Exercise

This exercise aims to help Python developers to learn and practice DateTime and timestamp questions and problems.

Topics : Date, time, DateTime, Calendar.

Python OOP Exercise

This Python Object-oriented programming (OOP) exercise aims to help Python developers to learn and practice OOP concepts.

Topics : Object, Classes, Inheritance

Python JSON Exercise

Practice and Learn JSON creation, manipulation, Encoding, Decoding, and parsing using Python

Python NumPy Exercise

Practice NumPy questions such as Array manipulations, numeric ranges, Slicing, indexing, Searching, Sorting, and splitting, and more.

Python Pandas Exercise

Practice Data Analysis using Python Pandas. Practice Data-frame, Data selection, group-by, Series, sorting, searching, and statistics.

Python Matplotlib Exercise

Practice Data visualization using Python Matplotlib. Line plot, Style properties, multi-line plot, scatter plot, bar chart, histogram, Pie chart, Subplot, stack plot.

Random Data Generation Exercise

Practice and Learn the various techniques to generate random data in Python.

Topics : random module, secrets module, UUID module

Python Database Exercise

Practice Python database programming skills by solving the questions step by step.

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

Under Exercises: -

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

Updated on:  December 8, 2021 | 52 Comments

Python Date and Time Exercise with Solutions

Updated on:  December 8, 2021 | 10 Comments

Python Dictionary Exercise with Solutions

Updated on:  May 6, 2023 | 56 Comments

Python Tuple Exercise with Solutions

Updated on:  December 8, 2021 | 96 Comments

Python Set Exercise with Solutions

Updated on:  October 20, 2022 | 27 Comments

Python if else, for loop, and range() Exercises with Solutions

Updated on:  July 6, 2024 | 296 Comments

Updated on:  August 2, 2022 | 155 Comments

Updated on:  September 6, 2021 | 109 Comments

Python List Exercise with Solutions

Updated on:  December 8, 2021 | 200 Comments

Updated on:  December 8, 2021 | 7 Comments

Python Data Structure Exercise for Beginners

Updated on:  December 8, 2021 | 116 Comments

Python String Exercise with Solutions

Updated on:  October 6, 2021 | 221 Comments

Updated on:  March 9, 2021 | 23 Comments

Updated on:  March 9, 2021 | 51 Comments

Updated on:  July 20, 2021 | 29 Comments

Python Basic Exercise for Beginners

Updated on:  August 31, 2023 | 498 Comments

Useful Python Tips and Tricks Every Programmer Should Know

Updated on:  May 17, 2021 | 23 Comments

Python random Data generation Exercise

Updated on:  December 8, 2021 | 13 Comments

Python Database Programming Exercise

Updated on:  March 9, 2021 | 17 Comments

• Online Python Code Editor

Updated on:  June 1, 2022 |

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Python Exercise with Practice Questions and Solutions

Python Exercise: Practice makes you perfect in everything. This proverb always proves itself correct. Just like this, if you are a Python learner, then regular practice of Python exercises makes you more confident and sharpens your skills. So, to test your skills, go through these Python exercises with solutions.

Python is a widely used general-purpose high-level language that can be used for many purposes like creating GUI, web Scraping, web development, etc. You might have seen various Python tutorials that explain the concepts in detail but that might not be enough to get hold of this language. The best way to learn is by practising it more and more.

The best thing about this Python practice exercise is that it helps you learn Python using sets of detailed programming questions from basic to advanced. It covers questions on core Python concepts as well as applications of Python in various domains. So if you are at any stage like beginner, intermediate or advanced this Python practice set will help you to boost your programming skills in Python.

List of Python Programming Exercises

In the below section, we have gathered chapter-wise Python exercises with solutions. So, scroll down to the relevant topics and try to solve the Python program practice set.

Python List Exercises

• Python program to interchange first and last elements in a list
• Python program to swap two elements in a list
• Python | Ways to find length of list
• Maximum of two numbers in Python
• Minimum of two numbers in Python

>> More Programs on List

Python String Exercises

• Python program to check whether the string is Symmetrical or Palindrome
• Reverse words in a given String in Python
• Ways to remove i’th character from string in Python
• Find length of a string in python (4 ways)
• Python program to print even length words in a string

>> More Programs on String

Python Tuple Exercises

• Python program to Find the size of a Tuple
• Python – Maximum and Minimum K elements in Tuple
• Python – Sum of tuple elements
• Python – Row-wise element Addition in Tuple Matrix
• Create a list of tuples from given list having number and its cube in each tuple

>> More Programs on Tuple

Python Dictionary Exercises

• Python | Sort Python Dictionaries by Key or Value
• Handling missing keys in Python dictionaries
• Python dictionary with keys having multiple inputs
• Python program to find the sum of all items in a dictionary
• Python program to find the size of a Dictionary

>> More Programs on Dictionary

Python Set Exercises

• Find the size of a Set in Python
• Iterate over a set in Python
• Python – Maximum and Minimum in a Set
• Python – Remove items from Set
• Python – Check if two lists have atleast one element common

>> More Programs on Sets

Python Matrix Exercises

• Python – Assigning Subsequent Rows to Matrix first row elements
• Adding and Subtracting Matrices in Python
• Python – Group similar elements into Matrix
• Create an n x n square matrix, where all the sub-matrix have the sum of opposite corner elements as even

>> More Programs on Matrices

Python Functions Exercises

• How to get list of parameters name from a function in Python?
• How to Print Multiple Arguments in Python?
• Python program to find the power of a number using recursion
• Sorting objects of user defined class in Python
• Functions that accept variable length key value pair as arguments

>> More Programs on Functions

Python Lambda Exercises

• Lambda with if but without else in Python
• Python | Sorting string using order defined by another string
• Python | Find fibonacci series upto n using lambda
• Python program to count Even and Odd numbers in a List
• Python | Find the Number Occurring Odd Number of Times using Lambda expression and reduce function

>> More Programs on Lambda

Python Pattern printing Exercises

• Program to print half Diamond star pattern
• Programs for printing pyramid patterns in Python
• Program to print the diamond shape
• Python | Print an Inverted Star Pattern
• Python Program to print digit pattern

>> More Programs on Python Pattern Printing

Python DateTime Exercises

• Python program to get Current Time
• Get Yesterday’s date using Python
• Python program to print current year, month and day
• Python – Convert day number to date in particular year
• Get Current Time in different Timezone using Python

>> More Programs on DateTime

Python OOPS Exercises

• Python program to build flashcard using class in Python
• Shuffle a deck of card with OOPS in Python
• How to create an empty class in Python?
• Student management system in Python

>> More Programs on Python OOPS

Python Regex Exercises

• Python program to find the type of IP Address using Regex
• Python program to find Indices of Overlapping Substrings
• Python program to extract Strings between HTML Tags
• Python – Check if String Contain Only Defined Characters using Regex
• Python program to find files having a particular extension using RegEx

>> More Programs on Python Regex

Python LinkedList Exercises

• Python program to Search an Element in a Circular Linked List
• Pretty print Linked List in Python
• Python | Stack using Doubly Linked List
• Python | Queue using Doubly Linked List
• Python program to find middle of a linked list using one traversal

>> More Programs on Linked Lists

Python Searching Exercises

• Python Program for Linear Search
• Python Program for Binary Search (Recursive and Iterative)
• Python Program for Anagram Substring Search (Or Search for all permutations)

>> More Programs on Python Searching

Python Sorting Exercises

• Python Program for Bubble Sort
• Python Program for QuickSort
• Python Program for Insertion Sort
• Python Program for Selection Sort
• Python Program for Heap Sort

>> More Programs on Python Sorting

Python DSA Exercises

• Python program to reverse a stack
• Multithreaded Priority Queue in Python
• Check whether the given string is Palindrome using Stack
• Program to Calculate the Edge Cover of a Graph
• Python Program for N Queen Problem

>> More Programs on Python DSA

Python File Handling Exercises

• Read content from one file and write it into another file
• Write a dictionary to a file in Python
• How to check file size in Python?
• Find the most repeated word in a text file
• How to read specific lines from a File in Python?

>> More Programs on Python File Handling

Python CSV Exercises

• Update column value of CSV in Python
• How to add a header to a CSV file in Python?
• Get column names from CSV using Python
• Writing data from a Python List to CSV row-wise
• Convert multiple JSON files to CSV Python

>> More Programs on Python CSV

Python JSON Exercises

• Convert class object to JSON in Python
• Convert JSON data Into a Custom Python Object
• Flattening JSON objects in Python
• Convert CSV to JSON using Python

>> More Programs on Python JSON

Python OS Module Exercises

• How to get file creation and modification date or time in Python?
• Menu Driven Python program for opening the required software Application
• Python Script to change name of a file to its timestamp
• Kill a Process by name using Python
• Finding the largest file in a directory using Python

>> More Programs on OS Module

Python Tkinter Exercises

• Python | Create a GUI Marksheet using Tkinter
• Python | ToDo GUI Application using Tkinter
• Python | GUI Calendar using Tkinter
• File Explorer in Python using Tkinter
• Visiting Card Scanner GUI Application using Python

>> More Programs on Python Tkinter

NumPy Exercises

• How to create an empty and a full NumPy array?
• Create a Numpy array filled with all zeros
• Create a Numpy array filled with all ones
• Replace NumPy array elements that doesn’t satisfy the given condition
• Get the maximum value from given matrix

>> More Programs on NumPy

Pandas Exercises

• Make a Pandas DataFrame with two-dimensional list | Python
• How to iterate over rows in Pandas Dataframe
• Create a pandas column using for loop
• Create a Pandas Series from array
• Pandas | Basic of Time Series Manipulation

>> More Programs on Python Pandas

Python Web Scraping Exercises

• How to extract youtube data in Python?
• How to Download All Images from a Web Page in Python?
• Test the given page is found or not on the server Using Python
• How to Extract Wikipedia Data in Python?
• How to extract paragraph from a website and save it as a text file?

>> More Programs on Web Scraping

Python Selenium Exercises

• Download File in Selenium Using Python
• Bulk Posting on Facebook Pages using Selenium
• Google Maps Selenium automation using Python
• Count total number of Links In Webpage Using Selenium In Python
• Extract Data From JustDial using Selenium

>> More Programs on Python Selenium

• Number guessing game in Python
• 2048 Game in Python
• Get Live Weather Desktop Notifications Using Python
• 8-bit game using pygame
• Tic Tac Toe GUI In Python using PyGame

>> More Projects in Python

In closing, we just want to say that the practice or solving Python problems always helps to clear your core concepts and programming logic. Hence, we have designed this Python exercises after deep research so that one can easily enhance their skills and logic abilities.

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All Exercises

All Solutions

• 1: Character Input Solutions
• 2: Odd Or Even Solutions
• 3: List Less Than Ten Solutions
• 4: Divisors Solutions
• 5: List Overlap Solutions
• 6: String Lists Solutions
• 7: List Comprehensions Solutions
• 8: Rock Paper Scissors Solutions
• 9: Guessing Game One Solutions
• 10: List Overlap Comprehensions Solutions
• 11: Check Primality Functions Solutions
• 12: List Ends Solutions
• 13: Fibonacci Solutions
• 14: List Remove Duplicates Solutions
• 15: Reverse Word Order Solutions
• 16: Password Generator Solutions
• 17: Decode A Web Page Solutions
• 18: Cows And Bulls Solutions
• 19: Decode A Web Page Two Solutions
• 20: Element Search Solutions
• 21: Write To A File Solutions
• 22: Read From File Solutions
• 23: File Overlap Solutions
• 24: Draw A Game Board Solutions
• 25: Guessing Game Two Solutions
• 26: Check Tic Tac Toe Solutions
• 27: Tic Tac Toe Draw Solutions
• 28: Max Of Three Solutions
• 29: Tic Tac Toe Game Solutions
• 30: Pick Word Solutions
• 31: Guess Letters Solutions
• 32: Hangman Solutions
• 33: Birthday Dictionaries Solutions
• 34: Birthday Json Solutions
• 35: Birthday Months Solutions
• 36: Birthday Plots Solutions
• 37: Functions Refactor Solution
• 38: f Strings Solution
• 39: Character Input Datetime Solution
• 40: Error Checking Solution

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INTERNATIONAL LEXICON OF AESTHETICS

Emanuele Arielli

It. Algoritmo; Fr. Algorithme; Germ. Algorithmus; Span. Algoritmo. The word stems from the medieval Latin algorithmus or algorismus, which is derived from the name of the Arab mathematician Muhammad ibn Musa al-Khwarizmi (Ninth century AD), a native of the Khwarazm region in Central Asia. In the Middle Ages the term designated all procedures for numerical calculation using Arabic numerals. In today's use, an algorithm is a well-defined and finite set of steps to solve a problem or class of problems. In this form, problem solving consists of the transformation of a specific input, which represents a starting state, into a specific output, the end state. Algorithms are implemented in the execution of computer programs, but they can also be formulated as systems of rules in natural language (Christian, Griffith 2016). The concept of algorithms is associated with the idea of automatization and the transfer of control to external and mechanical procedures. Concerning the relationship with aesthetics and the arts, algorithms have been used as tools in the creative process and for the generation of artworks. In recent times, algorithms have been implemented in the observation and analysis of individual aesthetic choices and in the suggestion and evaluation systems employed in all contemporary digital platforms. Consumption of cultural and aesthetic products is therefore increasingly mediated and regulated by software and algorithms that track human behavior. This constitutes the core of recent debates about the relationship between human activity, digitalization, and artificial intelligence.

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We define an algorithm to be the set of programs that implement or express that algorithm. The set of all programs is partitioned into equivalence classes. Two programs are equivalent if they are essentially the same program. The set of equivalence classes forms the category of algorithms. Although the set of programs does not even form a category, the set

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An algorithm is a finite procedure, with a well-defined set of steps, aimed at solving a specific problem. Algorithms are present in any problem-solving task involving the use of computers in numerical or nonnumerical applications. An algorithm is usually required to stop in a finite number of steps, although some useful procedures are meant to be run continuously, such as operating systems and related system software. These procedures are sometimes not regarded as algorithms, but simply as programs.

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Problem Solving with Algorithms and Data Structures using Python ¶

By Brad Miller and David Ranum, Luther College

There is a wonderful collection of YouTube videos recorded by Gerry Jenkins to support all of the chapters in this text.

• 1.1. Objectives
• 1.2. Getting Started
• 1.3. What Is Computer Science?
• 1.4. What Is Programming?
• 1.5. Why Study Data Structures and Abstract Data Types?
• 1.6. Why Study Algorithms?
• 1.7. Review of Basic Python
• 1.8.1. Built-in Atomic Data Types
• 1.8.2. Built-in Collection Data Types
• 1.9.1. String Formatting
• 1.10. Control Structures
• 1.11. Exception Handling
• 1.12. Defining Functions
• 1.13.1. A Fraction Class
• 1.13.2. Inheritance: Logic Gates and Circuits
• 1.14. Summary
• 1.15. Key Terms
• 1.16. Discussion Questions
• 1.17. Programming Exercises
• 2.1.1. A Basic implementation of the MSDie class
• 2.2. Making your Class Comparable
• 3.1. Objectives
• 3.2. What Is Algorithm Analysis?
• 3.3. Big-O Notation
• 3.4.1. Solution 1: Checking Off
• 3.4.2. Solution 2: Sort and Compare
• 3.4.3. Solution 3: Brute Force
• 3.4.4. Solution 4: Count and Compare
• 3.5. Performance of Python Data Structures
• 3.7. Dictionaries
• 3.8. Summary
• 3.9. Key Terms
• 3.10. Discussion Questions
• 3.11. Programming Exercises
• 4.1. Objectives
• 4.2. What Are Linear Structures?
• 4.3. What is a Stack?
• 4.4. The Stack Abstract Data Type
• 4.5. Implementing a Stack in Python
• 4.6. Simple Balanced Parentheses
• 4.7. Balanced Symbols (A General Case)
• 4.8. Converting Decimal Numbers to Binary Numbers
• 4.9.1. Conversion of Infix Expressions to Prefix and Postfix
• 4.9.2. General Infix-to-Postfix Conversion
• 4.9.3. Postfix Evaluation
• 4.10. What Is a Queue?
• 4.11. The Queue Abstract Data Type
• 4.12. Implementing a Queue in Python
• 4.13. Simulation: Hot Potato
• 4.14.1. Main Simulation Steps
• 4.14.2. Python Implementation
• 4.14.3. Discussion
• 4.15. What Is a Deque?
• 4.16. The Deque Abstract Data Type
• 4.17. Implementing a Deque in Python
• 4.18. Palindrome-Checker
• 4.19. Lists
• 4.20. The Unordered List Abstract Data Type
• 4.21.1. The Node Class
• 4.21.2. The Unordered List Class
• 4.22. The Ordered List Abstract Data Type
• 4.23.1. Analysis of Linked Lists
• 4.24. Summary
• 4.25. Key Terms
• 4.26. Discussion Questions
• 4.27. Programming Exercises
• 5.1. Objectives
• 5.2. What Is Recursion?
• 5.3. Calculating the Sum of a List of Numbers
• 5.4. The Three Laws of Recursion
• 5.5. Converting an Integer to a String in Any Base
• 5.6. Stack Frames: Implementing Recursion
• 5.7. Introduction: Visualizing Recursion
• 5.8. Sierpinski Triangle
• 5.9. Complex Recursive Problems
• 5.10. Tower of Hanoi
• 5.11. Exploring a Maze
• 5.12. Dynamic Programming
• 5.13. Summary
• 5.14. Key Terms
• 5.15. Discussion Questions
• 5.16. Glossary
• 5.17. Programming Exercises
• 6.1. Objectives
• 6.2. Searching
• 6.3.1. Analysis of Sequential Search
• 6.4.1. Analysis of Binary Search
• 6.5.1. Hash Functions
• 6.5.2. Collision Resolution
• 6.5.3. Implementing the Map Abstract Data Type
• 6.5.4. Analysis of Hashing
• 6.6. Sorting
• 6.7. The Bubble Sort
• 6.8. The Selection Sort
• 6.9. The Insertion Sort
• 6.10. The Shell Sort
• 6.11. The Merge Sort
• 6.12. The Quick Sort
• 6.13. Summary
• 6.14. Key Terms
• 6.15. Discussion Questions
• 6.16. Programming Exercises
• 7.1. Objectives
• 7.2. Examples of Trees
• 7.3. Vocabulary and Definitions
• 7.4. List of Lists Representation
• 7.5. Nodes and References
• 7.6. Parse Tree
• 7.7. Tree Traversals
• 7.8. Priority Queues with Binary Heaps
• 7.9. Binary Heap Operations
• 7.10.1. The Structure Property
• 7.10.2. The Heap Order Property
• 7.10.3. Heap Operations
• 7.11. Binary Search Trees
• 7.12. Search Tree Operations
• 7.13. Search Tree Implementation
• 7.14. Search Tree Analysis
• 7.15. Balanced Binary Search Trees
• 7.16. AVL Tree Performance
• 7.17. AVL Tree Implementation
• 7.18. Summary of Map ADT Implementations
• 7.19. Summary
• 7.20. Key Terms
• 7.21. Discussion Questions
• 7.22. Programming Exercises
• 8.1. Objectives
• 8.2. Vocabulary and Definitions
• 8.3. The Graph Abstract Data Type
• 8.4. An Adjacency Matrix
• 8.5. An Adjacency List
• 8.6. Implementation
• 8.7. The Word Ladder Problem
• 8.8. Building the Word Ladder Graph
• 8.9. Implementing Breadth First Search
• 8.10. Breadth First Search Analysis
• 8.11. The Knight’s Tour Problem
• 8.12. Building the Knight’s Tour Graph
• 8.13. Implementing Knight’s Tour
• 8.14. Knight’s Tour Analysis
• 8.15. General Depth First Search
• 8.16. Depth First Search Analysis
• 8.17. Topological Sorting
• 8.18. Strongly Connected Components
• 8.19. Shortest Path Problems
• 8.20. Dijkstra’s Algorithm
• 8.21. Analysis of Dijkstra’s Algorithm
• 8.22. Prim’s Spanning Tree Algorithm
• 8.23. Summary
• 8.24. Key Terms
• 8.25. Discussion Questions
• 8.26. Programming Exercises

Acknowledgements ¶

We are very grateful to Franklin Beedle Publishers for allowing us to make this interactive textbook freely available. This online version is dedicated to the memory of our first editor, Jim Leisy, who wanted us to “change the world.”

Indices and tables ¶

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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 (PSPP) “R2021 – SYLLABUS”

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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35 Python Programming Exercises and Solutions

To understand a programming language deeply, you need to practice what you’ve learned. If you’ve completed learning the syntax of Python programming language, it is the right time to do some practice programs.

1. Python program to check whether the given number is even or not.

2. python program to convert the temperature in degree centigrade to fahrenheit, 3. python program to find the area of a triangle whose sides are given, 4. python program to find out the average of a set of integers, 5. python program to find the product of a set of real numbers, 6. python program to find the circumference and area of a circle with a given radius, 7. python program to check whether the given integer is a multiple of 5, 8. python program to check whether the given integer is a multiple of both 5 and 7, 9. python program to find the average of 10 numbers using while loop, 10. python program to display the given integer in a reverse manner, 11. python program to find the geometric mean of n numbers, 12. python program to find the sum of the digits of an integer using a while loop, 13. python program to display all the multiples of 3 within the range 10 to 50, 14. python program to display all integers within the range 100-200 whose sum of digits is an even number, 15. python program to check whether the given integer is a prime number or not, 16. python program to generate the prime numbers from 1 to n, 17. python program to find the roots of a quadratic equation, 18. python program to print the numbers from a given number n till 0 using recursion, 19. python program to find the factorial of a number using recursion, 20. python program to display the sum of n numbers using a list, 21. python program to implement linear search, 22. python program to implement binary search, 23. python program to find the odd numbers in an array, 24. python program to find the largest number in a list without using built-in functions, 25. python program to insert a number to any position in a list, 26. python program to delete an element from a list by index, 27. python program to check whether a string is palindrome or not, 28. python program to implement matrix addition, 29. python program to implement matrix multiplication, 30. python program to check leap year, 31. python program to find the nth term in a fibonacci series using recursion, 32. python program to print fibonacci series using iteration, 33. python program to print all the items in a dictionary, 34. python program to implement a calculator to do basic operations, 35. python program to draw a circle of squares using turtle.

For practicing more such exercises, I suggest you go to  hackerrank.com  and sign up. You’ll be able to practice Python there very effectively.

I hope these exercises were helpful to you. If you have any doubts, feel free to let me know in the comments.

Happy coding.

12 thoughts on “ 35 Python Programming Exercises and Solutions ”

I don’t mean to nitpick and I don’t want this published but you might want to check code for #16. 4 is not a prime number.

You can only check if integer is a multiple of 35. It always works the same – just multiply all the numbers you need to check for multiplicity.

v_str = str ( input(‘ Enter a valid string or number :- ‘) ) v_rev_str=” for v_d in v_str: v_rev_str = v_d + v_rev_str

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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.

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

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

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• 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.

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Anna University GE3171 Problem Solving and Python Programming Laboratory Manual (Lab Manual) Download

Click below the link “DOWNLOAD” to save the Study Material (PDF)

• 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

Anna University Useful Links

• Click Here To Check the Anna University Internal Marks Details
• Click Here To Download the Anna University Time Table for Current Semester (Odd & Even) UG/PG Exams
• Click Here To Download the Anna University Practical Schedule for Current Semester (Odd & Even) UG/PG Exams
• Click Here To Download the Anna University Syllabus for UG/PG Regulation 2021 (R2021)
• Click Here To Download the Anna University Syllabus for UG/PG Regulation 2017 (R2017)
• Click Here To Download the Anna University Syllabus for UG/PG Regulation 2013 (R2013)
• Click Here To Check & Download the Anna University Current Semester Reopening Date as well as Last Working Day (Closing Date) Notification
• Click Here To Check the Anna University Current Semester Results as well as grace marks details

Other Useful Links

• Click Here To Download Other Semester Civil Engineering Regulation 2021 Study Materials
• Click Here To Download Other Semester Mechanical Engineering Regulation 2021 Study Materials
• Click Here To Download Other Semester Electrical Engineering Regulation 2021 Study Materials
• Click Here To Download Other Semester Electronics & Communication Engineering Regulation 2021 Study Materials
• Click Here To Download Regulation 2017 Semester wise Civil, Mechanical, Electrical, Electronics & Communication Engineering Study Materials
• Click Here To Download Regulation 2013 Semester wise Civil, Mechanical, Electrical, Electronics & Communication Engineering Study Materials
• Click Here To Download Civil Engineering GATE UPSC IES TANCET PSU’s State PSC & Other Competitive Examinations Study Materials
• Click Here To Download Mechanical Engineering GATE UPSC IES TANCET PSU’s State PSC & Other Competitive Examinations Study Materials
• Click Here To Download Electrical Engineering GATE UPSC IES TANCET PSU’s State PSC & Other Competitive Examinations Study Materials
• Click Here To Download Electronics & Communication Engineering GATE UPSC IES TANCET PSU’s State PSC & Other Competitive Examinations Study Materials
• Click Here To Download Subjects Civil Engineering (CE) Textbooks Huge Collection
• Click Here To Download Subjects Mechanical Engineering (ME) Textbooks Huge Collection
• Click Here To Download Subjects Electrical Engineering (EE) Textbooks Huge Collection
• Click Here To Download Subjects Electronics & Communication Engineering (ECE) Textbooks Huge Collection
• Click Here To Download Competitive Exams Books & Study Materials
• Click Here To Download Other Departments Study Materials

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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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NPTEL Assignment Answers and Solutions 2024 (July-Dec). Get Answers of Week 1 2 3 4 5 6 7 8 8 10 11 12 for all courses. This guide offers clear and accurate answers for your all assignments across various NPTEL courses

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Nptel assignment answers 2024 with solutions (july-dec), how to use this repo to see nptel assignment answers and solutions 2024.

If you're here to find answers for specific NPTEL courses, follow these steps:

Access the Course Folder:

• Navigate to the folder of the course you are interested in. Each course has its own folder named accordingly, such as cloud-computing or computer-architecture .

Locate the Weekly Assignment Files:

• Inside the course folder, you will find files named week-01.md , week-02.md , and so on up to week-12.md . These files contain the assignment answers for each respective week.

Select the Week File:

• Click on the file corresponding to the week you are interested in. For example, if you need answers for Week 3, open the week-03.md file.

Review the Answers:

• Each week-XX.md file provides detailed solutions and explanations for that week’s assignments. Review these files to find the information you need.

By following these steps, you can easily locate and use the assignment answers and solutions for the NPTEL courses provided in this repository. We hope this resource assists you in your studies!

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Here's a list of courses currently available in this repository:

• Artificial Intelligence Search Methods for Problem Solving
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• Computer Architecture
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• Data Structure and Algorithms Using Java
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• Deep Learning for Computer Vision
• Deep Learning IIT Ropar
• Digital Circuits
• Ethical Hacking
• Introduction to Industry 4.0 and Industrial IoT
• Introduction to Internet of Things
• Introduction to Machine Learning IIT KGP
• Introduction to Machine Learning
• Introduction to Operating Systems
• ML and Deep Learning Fundamentals and Applications
• Problem Solving Through Programming in C
• Programming DSA Using Python
• Programming in Java
• Programming in Modern C
• Python for Data Science
• Soft Skill Development
• Soft Skills
• Software Engineering
• Software Testing
• The Joy of Computation Using Python
• Theory of Computation

Note: This repository is intended for educational purposes only. Please use the provided answers as a guide to better understand the course material.

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