problem solving and python programming unit 1

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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.

“GE3151 Problem Solving and Python Programming Notes, Lecture Notes, Previous Years Question Papers “

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“GE3151 Problem Solving and Python Programming Important Part A & Part B Questions”

“GE3151 Problem Solving and Python Programming Syllabus, Local Author Books, Question Banks”

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GE3151 Problem Solving and Python Programming – Study Materials – Details

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.

DOWNLOAD LINK

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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Problem Solving and Python Programming - GE3151, GE8151

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[PDF] GE3151 Problem Solving and Python Programming (PSPP) Books, Lecture Notes, 2marks with answers, Important Part B 16marks 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 (PSPP) Important Part B 16 Mark Questions , PDF Books, Question Bank with answers Key, GE3151 Problem Solving and Python Programming (PSPP) Syllabus, Local Author Books & Anna University GE3151 Problem Solving and Python Programming (PSPP) Question Papers Collection, GE3151 First Semester Anna University Regulation 2021 Study Materials (Notes).

Many collections of GE3151 study materials download links are provided below, each collection is different from other so try to read all the GE3151 study materials collections and choose the suitable one, which is easily understandable for your preparations. From the listed below links, the students & the lectures can download the Anna University GE3151 Problem Solving and Python Programming (PSPP) Syllabus Question bank Lecture Notes Part A 2 marks with answers Part B 16 marks Question Bank with an answer , Previous year Question Papers and all other important materials of GE3151 subject. The students to make use of it and score good (maximum) marks in the exams with our study materials.

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GE3151 Problem Solving and Python Programming (PSPP) Part A & Part B Important Questions with Answers

• 1.1 GE3151 Problem Solving and Python Programming (PSPP) Syllabus
• 1.2 Download Link
• 1.3 GE3151 Problem Solving and Python Programming (PSPP) Syllabus
• 1.4 GE3151 Problem Solving and Python Programming (PSPP) Lecture Notes
• 1.5 GE3151 Problem Solving and Python Programming (PSPP) unit wise 2 marks Questions with Answers
• 1.6 GE3151 Problem Solving and Python Programming (PSPP) unit wise 16 marks Questions with answers
• 1.7 GE3151 Problem Solving and Python Programming (PSPP) Important Questions
• 1.8 GE3151 Problem Solving and Python Programming (PSPP) Question Papers Collections
• 1.9 GE3151 Problem Solving and Python Programming (PSPP) Question Bank
• 1.10 Anna University Useful Links
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• 1.12 GE3151 Problem Solving and Python Programming (PSPP) – FAQ

GE3151 Problem Solving and Python Programming (PSPP) Notes – Details

GE3151 Problem Solving and Python Programming (PSPP) 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).

Download Link

Anna University GE3151 Problem Solving and Python Programming (PSPP) Books Question banks Lecture Notes Syllabus GE3151 Problem Solving and Python Programming (PSPP) Part A 2 marks with answers Part B 16 marks Questions with answers & Anna University GE3151 Problem Solving and Python Programming (PSPP) Question Papers Collection and Local Author Books.

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

Kindly Note: They different collections of GE3151 Problem Solving and Python Programming (PSPP) Study materials are listed below. Each collection is different from others, Based on the candidate’s (your) knowledge & requirement choose the suitable material for your preparations.

• Regulation 2021 GE3151 Problem Solving and Python Programming (PSPP) Syllabus – DOWNLOAD

GE3151 Problem Solving and Python Programming (PSPP) Lecture Notes

• Lecture Notes Collections 1 – DOWNLOAD  
• Lecture Notes Collections 2 – DOWNLOAD (Including 2marks)
• Lecture Notes Collections 3 – DOWNLOAD   (Including 2marks)
• Lecture Notes Collections 4 – DOWNLOAD
• Lecture Notes Collections 5 – DOWNLOAD
• Lecture Notes Collections 6 – DOWNLOAD (Including 2marks)
• Lecture Notes Collections 7 – DOWNLOAD   (Including 2marks)

GE3151 Problem Solving and Python Programming (PSPP) unit wise 2 marks Questions with Answers

• 2 MARKS Collection 2 – DOWNLOAD (Refer Part B also)
• 2 MARKS Collection 2 – DOWNLOAD
• 2 MARKS Collection 3 – DOWNLOAD
• 2 MARKS Collection 4 – DOWNLOAD

GE3151 Problem Solving and Python Programming (PSPP) unit wise 16 marks Questions with answers

• Student Notes Collections 1 – DOWNLOAD  
• Student Notes Collections 2 – DOWNLOAD (Including 2marks)
• Student Notes Collections 3 – DOWNLOAD (Including 2marks)
• Student Notes Collections 4 – DOWNLOAD
• Student Notes Collections 5 – DOWNLOAD
• Student Notes Collections 6 – DOWNLOAD (Including 2marks)
• Student Notes Collections 7 – DOWNLOAD (Including 2marks)

GE3151 Problem Solving and Python Programming (PSPP) Important Questions

Important Questions Collection 1 – DOWNLOAD

• Important Questions Collection 2 – DOWNLOAD
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GE3151 Problem Solving and Python Programming (PSPP) Question Papers Collections

• Last 5 Years Anna University Question Papers Collection – DOWNLOAD

GE3151 Problem Solving and Python Programming (PSPP) Question Bank

• Collection 1 – DOWNLOAD
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• Collection 3 – DOWNLOAD
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GE3151 Problem Solving and Python Programming (PSPP) – FAQ

What is the Full Form of the Subject Code GE3151?

The Full Form of Subject Code GE3151 is Problem Solving and Python Programming (PSPP) .

How to Download GE3151 Notes?

The students can download the GE3151 Problem Solving and Python Programming (PSPP) Part-A 2 marks , Part-B 16 marks questions with answers (Notes) on the EasyEngineering website for preparing their upcoming First Semester examination.

Where to Download GE3151 Local Author Book PDF?

On the EasyEngineering GE3151 Problem Solving and Python Programming (PSPP) page, the students can download the Local Author Book PDF , which contains unit wise Part-A 2 marks, Part-B 16 marks important questions with answers.

How to Download Previous Years GE3151 Question Papers?

The Anna University students can download the GE3151 Problem Solving and Python Programming (PSPP) Previous Years Question Papers Collection on the GE3151 Question Papers Page, which contains the last 5 years question papers sets (GE3151 Question Bank) for the students to prepare for their upcoming First Semester examination.

In which regulation semester exam GE3151 subject is studied?

The GE3151 Problem Solving and Python Programming (PSPP) subject is studied by the Anna University Students of First Year in their First Semester Examination of 2021 Regulation .

How to download GE3151 Part-A 2 Mark Questions with Answers?

On the EasyEngineering website, the students can download the GE3151 Problem Solving and Python Programming (PSPP) Part-A 2 mark Questions with answers. These GE3151 notes are useful for those candidates who are preparing for their upcoming First Semester examination of Anna University.

How to download GE3151 Part-B 16 Mark Questions with Answers?

The students can download the GE3151 Problem Solving and Python Programming (PSPP) Part-B 16 mark Questions with answers on the EasyEngineering webpage for preparing their upcoming Anna University First Semester examination.

How to download Anna University GE3151 syllabus?

The GE3151 Problem Solving and Python Programming (PSPP) Syllabus is directly downloaded from the Anna University Regulation 2021 Syllabus page on the EasyEngineering.

How to check Anna University GE3151 Internal Marks?

The GE3151 Problem Solving and Python Programming (PSPP) 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 GE3151 exam results?

The GE3151 Problem Solving and Python Programming (PSPP) 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 GE3151 Grace marks details?

In the Easyengineering GE3151 Problem Solving and Python Programming (PSPP) 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 GE3151 exam.

Which Engineering department is studying the GE3151 as one subject?

The GE3151 Problem Solving and Python Programming (PSPP) 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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Programming for Problem Solving

This book provides an introduction to computer programming using Python as a way to solve problems. It focuses on programming concepts and fundamentals within the context of solving real world problems.

Table of Contents

• Attributions
• Acknowledgments
• Learning Objectives
• Introduction
• Computational Thinking
• An Example Algorithm
• Verifying your Algorithm
• The Process of Computational Problem Solving
• Values and Variables
• What is a Program?
• Computational Problem Design Using the Basic Programming Constructs
• The Role of Programming in the Field of Informatics
• Unit Summary
• Practice Problems
• Computer Hardware Architecture
• Digital Computing: It’s All about 0’s and 1’s
• Operating Systems—Bridging Software and Hardware
• Software Development Tools
• Learning Programming with Python
• Writing a Python Program
• The Python Interactive Shell
• The Basics of Python Programming
• Example: Using Variables and Literal Constants
• Operators and Expressions
• Practice with Operators & Expressions
• Evaluation Order
• Input/Process/Output Pattern
• Type Converter Functions
• Python’s Standard Library
• More on Strings
• Object Oriented Programming
• Simple Graphics Programming
• Graphics Windows: Coordinate Systems
• GraphWin Objects
• Text Methods
• Entry Objects
• Displaying Images
• Generating Colors
• Interactive Graphics
• Boolean Expressions
• Logical Operators
• Conditional Execution
• Exception Handling
• Practice with Handling Exceptions in our Programs
• The for…in Statement
• Nested Loops
• Basic File Processing
• Installing Python 3 and IDLE
• Using Python and its IDE 
• Appendix B: Python Cheat Sheet

This courseware includes resources copyrighted and openly licensed by multiple individuals and organizations. Click the words "Licenses and Attributions" at the bottom of each page for copyright and licensing information specific to the material on that page. If you believe that this courseware violates your copyright, please contact us .

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PROBLEM SOLVING AND PYTHON PROGRAMMING - GE8151

GE8151 – PROBLEM SOLVING AND PYTHON PROGRAMMING – PSPP – SYLLABUS (REGULATION 2017) ANNA UNIVERSITY  UNIT I ALGORITHMIC PROBLEM SOLVING (GE8151) …

GE8151 – PROBLEM SOLVING AND PYTHON PROGRAMMING – PSPP  – SYLLABUS (REGULATION 2017) ANNA UNIVERSITY 

Unit i algorithmic problem solving.

(GE8151) 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, EXPRESSIONS, STATEMENTS 

Python interpreter and interactive mode; values and types: int, float, boolean, string, and list; variables, expressions, statements, tuple assignment, precedence of operators, comments; modules and functions, function definition and use, flow of execution, parameters and arguments; Illustrative programs: exchange the values of two variables, circulate the values of n variables, distance between two points.

UNIT III CONTROL FLOW, FUNCTIONS 

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: selection sort, insertion sort, mergesort, histogram.

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.

CLICK HERE  TO DOWNLOAD THE SYLLABUS OF (GE8151).

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Programming with Python All in One

• Post published: 21 May, 2024
• Post category: 100% Free Courses / StudyBullet-18
• Reading time: 4 mins read

What you will learn

basic programming skills

Computer science concept, python programming language, problem solving – put everything together with software.

Why take this course?

Welcome to **”Programming with Python: All-in-One”**, your comprehensive guide to mastering one of the most versatile programming languages out there – **Python!**

**Course Instructor**: Haichuan Lin 👩‍💻

### **Unlock Your Potential with Python! 🐍**

Why Choose This Course? – **Foundational Knowledge**: Build a rock-solid foundation in programming that will serve as the stepping stone for advanced computer science concepts. – **Real-World Application**: Discover how Python can be a game-changer in problem solving for various industries, from science to software engineering. – **End-to-End Development Experience**: Learn the full lifecycle of product development through the lens of Python programming. – **Problem Solving Mastery**: Enhance your critical thinking and problem-solving skills by applying coding logic and computational thinking.

### **Course Highlights:**

🔹 **Interactive Learning**: Engage with interactive exercises that reinforce learning through practice. 🔹 **Cross-Discipline Relevance**: Explore the intersection of programming and other fields like mathematics and physics, adding depth to your understanding of these subjects. 🔹 **Self-Learning Empowerment**: Equip yourself with the tools to continue learning new programming languages and computer science topics independently after course completion. 🔹 **Real-World Scenarios**: Understand how software updates can lead to significant product improvements and why developers play a crucial role from start to finish of a product’s lifecycle.

### **What You Will Learn:**

– **Python Syntax & Semantics**: Gain command of Python’s syntax, structure, and semantics. – **Effective Problem Solving**: Learn how to approach problems systematically using Python as your toolbox. – **Software Development Best Practices**: Familiarize yourself with the best practices that professional developers follow. – **Coding Projects & Real-World Case Studies**: Work on hands-on projects that reflect real-world challenges and solutions.

### **Course Breakdown:**

**Module 1: Introduction to Python Programming** – Basic syntax, variables, and types – Control structures: loops and conditionals – Writing your first Python program

**Module 2: Functions & Modules** – Understanding functions and their parameters – Creating and using modules – Organizing code for reusability and readability

**Module 3: Data Structures in Python** – Lists, dictionaries, sets, and tuples – Iterating over data structures – Managing complex data with lists of lists or nested dictionaries

**Module 4: Object-Oriented Programming (OOP)** – Classes and objects in Python – Encapsulation, inheritance, and polymorphism – Building robust and reusable code components with OOP principles

**Module 5: Working with Data** – Reading from and writing to files – Handling various file formats (CSV, JSON, etc.) – Data manipulation and analysis for actionable insights

**Module 6: Web Development with Python** – Introduction to web development with Flask or Django – Building simple yet functional web applications – Understanding web frameworks and their role in app development

**Module 7: Final Project & Review** – Apply what you’ve learned in a comprehensive project – Showcase your problem-solving skills through coding – Gain confidence and experience as a Python programmer

Join us on this journey to become a proficient Python developer and unlock the power of problem solving with code. Enroll now and transform the way you think about programming and problem solving! 💻✨

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