JNTUA B.TECH R 20 2-3 Syllabus For Introduction to python programming PDF 2022
February 10, 2022 2022-02-10 18:22JNTUA B.TECH R 20 2-3 Syllabus For Introduction to python programming PDF 2022
JNTUA B.TECH R 20 2-3 Syllabus For Introduction to python programming PDF 2022
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You will be able to find information about Introduction to python programming along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding Introduction to python programming after reading this blog. Introduction to python programming has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. Introduction to python programming can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.
All of the Topic and subtopics related to Introduction to python programming are mentioned below in detail. If you are having a hard time understanding Introduction to python programming or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.
Introduction to python programming Unit One
Introduction: What is a program, Running python, Arithmetic operators, Value and Types. Variables, Assignments and Statements: Assignment statements, Script mode, Order of operations, string operations, comments.Functions: Function calls, Math functions, Composition, Adding new Functions, Definitions and Uses, Flow of Execution, Parameters and Arguments, Variables and Parameters are local, Stack diagrams, Fruitful Functions and Void Functions, Why Functions.
Introduction to python programming Unit Two
Case study: The turtle module, Simple Repetition, Encapsulation, Generalization, Interface design, Refactoring, docstring.Conditionals and Recursion: floor division and modulus, Boolean expressions, Logical operators, Conditional execution, Alternative execution, Chained conditionals, Nested conditionals, Recursion, Infinite Recursion, Keyboard input.Fruitful Functions: Return values, Incremental development, Composition, Boolean functions, More recursion, Leap of Faith, Checking types,
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Introduction to python programming Unit Three
Iteration: Reassignment, Updating variables, The while statement, Break, Square roots, Algorithms.Strings: A string is a sequence, len, Traversal with a for loop, String slices, Strings are immutable, Searching, Looping and Counting, String methods, The in operator, String comparison.Case Study: Reading word lists, Search, Looping with indices.Lists: List is a sequence, Lists are mutable, Traversing a list, List operations, List slices, List methods, Map filter and reduce, Deleting elements, Lists and Strings, Objects and values, Aliasing, List arguments.
Introduction to python programming Unit Four
Dictionaries: A dictionary is a mapping, Dictionary as a collection of counters, Looping and dictionaries, Reverse Lookup, Dictionaries and lists, Memos, Global Variables.Tuples: Tuples are immutable, Tuple Assignment, Tuple as Return values, Variable-length argument tuples, Lists and tuples, Dictionaries and tuples, Sequences of sequences.Files: Persistence, Reading and writing, Format operator, Filename and paths, Catching exceptions, Databases, Pickling, Pipes, Writing modules.Classes and Objects: Programmer-defined types, Attributes, Instances as Return values, Objects are mutable, Copying.Classes and Functions:
Introduction to python programming Unit Five
Classes and Functions: Time, Pure functions, Modifiers, Prototyping versus PlanningClasses and Methods: Object oriented features, Printing objects, The init method, Thestrmethod, Operator overloading, Type-based Dispatch, Polymorphism, Interface and ImplementationInheritance: Card objects, Class attributes, Comparing cards, decks, Printing the Deck, Add Remove shuffle and sort, Inheritance, Class diagrams, Data encapsulation.The Goodies: Conditional expressions, List comprehensions, Generator expressions, any and all, Sets, Counters, defaultdict, Named tuples, Gathering keyword Args,
Introduction to python programming Course Objectives
This course aims at providing the student with the knowledge on To learn the fundamentals of PythonTo elucidate problem-solving using a Python programming languageTo introduce a function-oriented programming paradigm through pythonTo get training in the development of solutions using modular conceptsTo introduce the programming constructs of python
Introduction to python programming Course Outcomes
At the end of the course, student will be able toApply the features of Python language in various real applications.Select appropriate data structure of Python for solving a problem.Design object oriented programs using Python for solving real-world problems.Apply modularity to programs.
Introduction to python programming Text Books
1. Allen B. Downey, “Think Python”, 2ndedition, SPD/O’Reilly, 2016.
Introduction to python programming Reference Books
1. Martin C.Brown, “The Complete Reference: Python”, McGraw-Hill,2018.
2. Kenneth A. Lambert, B.L. Juneja, “Fundamentals of Python”, CENGAGE,2015.
3. R. Nageswara Rao, “Core Python Programming”, 2ndedition, Dreamtech Press,2019
Scoring Marks in Introduction to python programming
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Information about JNTUA B.Tech R 20 Introduction to python programming was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.
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