ge3151 problem solving and python programming pdf download

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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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GE3151 Problem Solving and Python Programming (PSPP) Notes Part A & Part B Important Questions with Answers var td_screen_width = window.innerWidth; if ( td_screen_width >= 1140 ) { /* large monitors */ document.write(' Download Links '); (adsbygoogle = window.adsbygoogle || []).push({}); } if ( td_screen_width >= 1019 && td_screen_width Download Links '); (adsbygoogle = window.adsbygoogle || []).push({}); } if ( td_screen_width >= 768 && td_screen_width Download Links '); (adsbygoogle = window.adsbygoogle || []).push({}); } if ( td_screen_width Download Links '); (adsbygoogle = window.adsbygoogle || []).push({}); } .u0d7dcb483f6209425af27004c5d1bfc2 { padding:0px; margin: 0; padding-top:1em!important; padding-bottom:1em!important; width:100%; display: block; font-weight:bold; background-color:inherit; border:0!important; border-left:4px solid #2ECC71!important; text-decoration:none; } .u0d7dcb483f6209425af27004c5d1bfc2:active, .u0d7dcb483f6209425af27004c5d1bfc2:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; text-decoration:none; } .u0d7dcb483f6209425af27004c5d1bfc2 { transition: background-color 250ms; webkit-transition: background-color 250ms; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; } .u0d7dcb483f6209425af27004c5d1bfc2 .ctaText { font-weight:bold; color:#E74C3C; text-decoration:none; font-size: 16px; } .u0d7dcb483f6209425af27004c5d1bfc2 .postTitle { color:#000000; text-decoration: underline!important; font-size: 16px; } .u0d7dcb483f6209425af27004c5d1bfc2:hover .postTitle { text-decoration: underline!important; } Also Check :   [PDF] EC3301 Electron Devices and Circuits (EDC) Books, Lecture Notes, 2 marks with answers, Important Part B 16 Marks Questions, Question Bank & Syllabus var td_screen_width = window.innerWidth; if ( td_screen_width >= 1140 ) { /* large monitors */ document.write(' '); (adsbygoogle = window.adsbygoogle || []).push({}); } if ( td_screen_width >= 1019 && td_screen_width '); (adsbygoogle = window.adsbygoogle || []).push({}); } if ( td_screen_width >= 768 && td_screen_width '); (adsbygoogle = window.adsbygoogle || []).push({}); } if ( td_screen_width '); (adsbygoogle = window.adsbygoogle || []).push({}); }

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.

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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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GE3151 Python Question Bank

Related Papers

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.

Digital Keywords (Ben Peters, ed.)

Tarleton Gillespie , Benjamin Peters

Sunday ADEYEMO

Lambert Meertens

Journal of Logic and Computation

Noson Yanofsky

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

Camil Demetrescu

Abstract Algorithm Engineering is concerned with the design, analysis, implementation, tuning, debugging and experimental evaluation of computer programs for solving algorithmic problems. It provides methodologies and tools for developing and engineering efficient algorithmic codes and aims at integrating and reinforcing traditional theoretical approaches for the design and analysis of algorithms and data structures.

Panos M Pardalos

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.

Rodrigo Ramírez

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GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Regulation 2021 Anna University

• Post author By Mr. Padeepz
• Post date October 31, 2021
• 1 Comment on GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Regulation 2021 Anna University

GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Regulation 2021 Anna University free download. PROBLEM SOLVING AND PYTHON PROGRAMMING Syllabus GE3151 pdf download free.

COURSE OBJECTIVES:

􀁸 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. GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING 􀁸 To do input/output with files in Python.

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. GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

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. GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

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).

TOTAL : 45 PERIODS

COURSE OUTCOMES:

Upon completion of the course, students will be able to CO1: Develop algorithmic solutions to simple computational problems. CO2: Develop and execute simple Python programs. CO3: Write simple Python programs using conditionals and looping for solving problems. CO4: Decompose a Python program into functions. CO5: Represent compound data using Python lists, tuples, dictionaries etc. CO6: Read and write data from/to files in Python programs.

TEXT BOOKS: GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING

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

REFERENCES: GE3151 Syllabus PSPP

1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition,  2021. 2. G Venkatesh and Madhavan Mukund, “Computational Thinking: A Primer for Programmers  and Data Scientists”, 1st Edition, Notion Press, 2021. 3. John V Guttag, "Introduction to Computation and Programming Using Python: With  Applications to Computational Modeling and Understanding Data‘‘, Third Edition, MIT Press 2021 GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING 4. Eric Matthes, “Python Crash Course, A Hands – on Project Based Introduction to  Programming”, 2nd Edition, No Starch Press, 2019. 5. https://www.python.org/ 6. Martin C. Brown, “Python: The Complete Reference”, 4th Edition, Mc-Graw Hill, 2018.

GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Click Here To Download

GE3151 Notes PROBLEM SOLVING AND PYTHON PROGRAMMING

GE3151 Important Questions PROBLEM SOLVING AND PYTHON PROGRAMMING

GE3151 Question Bank PROBLEM SOLVING AND PYTHON PROGRAMMING

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1 reply on “GE3151 Syllabus PROBLEM SOLVING AND PYTHON PROGRAMMING Regulation 2021 Anna University”

Please can you give the whole book to download.

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[PDF] GE3151 Problem Solving and Python Programming (PSPP) Question Bank, Important Question

Ge3151 problem solving and python programming question bank.

Download  GE3151 Problem Solving and Python Programming (PSPP) Question Bank, Important Question. In this Notes Very Useful for First Year First Semester Students.

“GE3151 Problem Solving and Python Programming (PSPP) Question Bank”

“ge3151 problem solving and python programming (pspp) important question”, subject info:, 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).

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GE3151 Problem Solving and Python Programming syllabus PDF

python programming notes useful for all students...

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GE3151 PROBLEM SOLVING AND PYTHON PROGRAMMING L T P C 3 0 0 3 COURSE OBJECTIVES:  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. UNIT I COMPUTATIONAL THINKING AND PROBLEM SOLVING 9 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 9 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 9 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 9 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 9 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). TOTAL : 45 PERIODS COURSE OUTCOMES: Upon completion of the course, students will be able to CO1: Develop algorithmic solutions to simple computational problems. CO2: Develop and execute simple Python programs. CO3: Write simple Python programs using conditionals and looping for solving problems. CO4: Decompose a Python program into functions. CO5: Represent compound data using Python lists, tuples, dictionaries etc. CO6: Read and write data from/to files in Python programs. TEXT BOOKS: 1. Allen B. Downey, “Think Python: How to Think like a Computer Scientist”, 2nd Edition, O’Reilly Publishers, 2016. 2. Karl Beecher, “Computational Thinking: A Beginner's Guide to Problem Solving and programming”, 1st Edition, BCS Learning & Development Limited, 2017. REFERENCES: 1. Paul Deitel and Harvey Deitel, “Python for Programmers”, Pearson Education, 1st Edition, 2021. 2. G Venkatesh and Madhavan Mukund, “Computational Thinking: A Primer for Programmers and Data Scientists”, 1st Edition, Notion Press, 2021. 3. John V Guttag, "Introduction to Computation and Programming Using Python: With Applications to Computational Modeling and Understanding Data‘‘, Third Edition, MIT Press 2021 4. Eric Matthes, “Python Crash Course, A Hands - on Project Based Introduction to Programming”, 2nd Edition, No Starch Press, 2019. 5. https://www.python.org/ 6. Martin C. Brown, “Python: The Complete Reference”, 4th Edition, Mc-Graw Hill, 2018....

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[PDF] GE8151 Problem Solving and Python Programming (PSPP) Books, Lecture Notes, 2 marks with answers, Important Part B 13 marks Questions, Multiple Choice Questions (MCQs), Question Bank & Syllabus

Download GE8151 Problem Solving and Python Programming (PSPP) Books Lecture Notes Syllabus Part A 2 marks with answers GE8151 Problem Solving and Python Programming (PSPP) Important Part B 13 marks, Direct 16 Mark Questions and Part C 15 marks Questions , PDF Books, Question Bank with answers Key, GE8151 Problem Solving and Python Programming (PSPP) Syllabus & Anna University GE8151 Problem Solving and Python Programming (PSPP) Question Papers Collection.

Download link is provided and students can download the Anna University GE8151 Problem Solving and Python Programming (PSPP) Syllabus Question bank Lecture Notes Part A 2 marks with answers Part B 13 marks and Part C 15 marks Question Bank with answer , All the materials are listed below for the students to make use of it and score good (maximum) marks with our study materials.

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GE8151 Problem Solving and Python Programming (PSPP) Part A & Part B Important Questions with Answers, Multiple Choice Questions (MCQs) .tdi_10.td-a-rec{transform:translateZ(0);text-align:center}.tdi_10 .td-element-style{z-index:-1}.tdi_10.td-a-rec-img{text-align:left}.tdi_10.td-a-rec-img img{margin:0 auto 0 0}@media (max-width:767px){.tdi_10.td-a-rec-img{text-align:center}} var td_screen_width = window.innerWidth; window.addEventListener("load", function(){ var placeAdEl = document.getElementById("td-ad-placeholder"); if ( null !== placeAdEl && td_screen_width >= 1140 ) { /* large monitors */ var adEl = document.createElement("ins"); placeAdEl.replaceWith(adEl); adEl.setAttribute("class", "adsbygoogle"); adEl.setAttribute("style", "display:inline-block;width:336px;height:280px"); adEl.setAttribute("data-ad-client", "ca-pub-8114552358305550"); adEl.setAttribute("data-ad-slot", "5788637028"); (adsbygoogle = window.adsbygoogle || []).push({}); } });window.addEventListener("load", function(){ var placeAdEl = document.getElementById("td-ad-placeholder"); if ( null !== placeAdEl && td_screen_width >= 1019 && td_screen_width = 768 && td_screen_width Download Links

• 1.1 GE8151 Problem Solving and Python Programming (PSPP) Syllabus
• 1.2 Download Link
• 1.3 GE8151 Problem Solving and Python Programming (PSPP) Syllabus
• 1.4 GE8151 Problem Solving and Python Programming (PSPP) Multiple Choice Questions (MCQs)
• 1.5 GE8151 Problem Solving and Python Programming (PSPP) Lecture Notes
• 1.6 GE8151 Problem Solving and Python Programming (PSPP) unit wise 2 marks Question with Answers
• 1.7 GE8151 Problem Solving and Python Programming (PSPP) unit wise 13 marks,15 marks & 16 marks Question with answers
• 1.8 GE8151 Problem Solving and Python Programming (PSPP) Important Questions
• 1.9 GE8151 Problem Solving and Python Programming (PSPP) Question Papers Collections
• 1.10 GE8151 Problem Solving and Python Programming (PSPP) Question Bank
• 1.11 Anna University Useful Links
• 1.12 Other Useful Links
• 1.13.1 Q1. What is the Full Form of the Subject Code GE8151?
• 1.13.2 Q2. How to Download GE8151 Notes?
• 1.13.3 Q3. Where to Download GE8151 Local Author Book PDF?
• 1.13.4 Q4. How to Download Previous Years GE8151 Question Papers?
• 1.13.5 Q5. In which regulation semester exam GE8151 subject is studied?
• 1.13.6 Q6. How to download GE8151 Part-A 2 Mark Questions with Answers?
• 1.13.7 Q7. How to download GE8151 Part-B 13 Mark Questions with Answers?
• 1.13.8 Q8. How to download GE8151 Part-C 15 Mark Questions with Answers?
• 1.13.9 Q9. How to download Anna University GE8151 syllabus?
• 1.13.10 Q10. How to check Anna University GE8151 Internal Marks?
• 1.13.11 Q11. How to check Anna University GE8151 exam results?
• 1.13.12 Q12. How to check Anna University GE8151 Grace marks details?
• 1.13.13 Q13. Which Engineering department is studying the GE8151 as one subject?

GE8151 Problem Solving and Python Programming (PSPP) Study Materials – Details

GE8151 Problem Solving and Python Programming (PSPP) Syllabus

UNIT I ALGORITHMIC PROBLEM SOLVING

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.

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Anna University GE8151 Problem Solving and Python Programming (PSPP) Books Question banks Lecture Notes Syllabus GE8151 Problem Solving and Python Programming (PSPP) Part A 2 marks with answers Part B 13 marks Questions, 16 marks Questions & Part C 15 marks Questions with answers & Anna University GE8151 Problem Solving and Python Programming (PSPP) Question Papers Collection and Local Author Books.

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• Regulation 2017 GE8151 Problem Solving and Python Programming (PSPP) Syllabus – DOWNLOAD

GE8151 Problem Solving and Python Programming (PSPP) Multiple Choice Questions (MCQs)

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GE8151 Problem Solving and Python Programming (PSPP) Lecture Notes

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GE8151 Problem Solving and Python Programming (PSPP) unit wise 2 marks Question with Answers

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GE8151 Problem Solving and Python Programming (PSPP) unit wise 13 marks,15 marks & 16 marks Question with answers

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GE8151 Problem Solving and Python Programming (PSPP) Important Questions

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GE8151 Problem Solving and Python Programming (PSPP) – FAQ

Q1. what is the full form of the subject code ge8151.

The Full Form of Subject Code GE8151 is Problem Solving and Python Programming (PSPP) .

Q2. How to Download GE8151 Notes?

The students can download the GE8151 Problem Solving and Python Programming (PSPP) Part-A 2 marks , Part-B 13 marks and Part-C 15 marks questions with answers (Notes) on the EasyEngineering website for preparing their upcoming first semester examination.

Q3. Where to Download GE8151 Local Author Book PDF?

On the EasyEngineering GE8151 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 13 marks and Part-C 15 marks important questions with answers.

Q4. How to Download Previous Years GE8151 Question Papers?

The Anna University students can download the GE8151 Problem Solving and Python Programming (PSPP) Previous Years Question Papers Collection on the GE8151 Question Papers Page, which contains the last 5 years question papers sets (GE8151 Question Bank) for the students to prepare for their upcoming first semester examination.

Q5. In which regulation semester exam GE8151 subject is studied?

The GE8151 Problem Solving and Python Programming (PSPP) subject is studied by the Anna University Students of First Year in their First Semester Examination of 2017 Regulation .

Q6. How to download GE8151 Part-A 2 Mark Questions with Answers?

On the EasyEngineering website, the students can download the GE8151 Problem Solving and Python Programming (PSPP) Part-A 2 mark Questions with answers. These GE8151 notes are useful for those candidates who are preparing for their upcoming first semester examination of Anna University.

Q7. How to download GE8151 Part-B 13 Mark Questions with Answers?

The students can download the GE8151 Problem Solving and Python Programming (PSPP) Part-B 13 mark Questions with answers on the EasyEngineering webpage for preparing their upcoming Anna University first semester examination.

Q8. How to download GE8151 Part-C 15 Mark Questions with Answers?

The GE8151 Problem Solving and Python Programming (PSPP) Part-C 15 Mark Questions with answers are available to download on the EasyEngineering website for preparing the upcoming Anna University first semester examination. This Part-C is considered as very important section in the regulation 2017 in which the students are focus to answer the questions because the answer for this section is allotted as 15 Marks .

Q9. How to download Anna University GE8151 syllabus?

The GE8151 Problem Solving and Python Programming (PSPP) Syllabus is directly downloaded from the Anna University Regulation 2017 Syllabus page on the EasyEngineering.

Q10. How to check Anna University GE8151 Internal Marks?

The GE8151 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.

Q11. How to check Anna University GE8151 exam results?

The GE8151 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.

Q12. How to check Anna University GE8151 Grace marks details?

In the Easyengineering GE8151 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 GE8151 exam.

Q13. Which Engineering department is studying the GE8151 as one subject?

The GE8151 Problem Solving and Python Programming (PSPP) subject is studied by the Anna University First year students of Common for all Engineering department as one subject in their first semester examination.

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