{"id":28676,"date":"2025-04-14T11:20:22","date_gmt":"2025-04-14T05:50:22","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/313306-data-structure-using-python-syllabus-for-data-science-3rd-sem-k-scheme-msbte-pdf\/"},"modified":"2025-04-14T11:20:22","modified_gmt":"2025-04-14T05:50:22","slug":"313306-data-structure-using-python-syllabus-for-data-science-3rd-sem-k-scheme-msbte-pdf","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/313306-data-structure-using-python-syllabus-for-data-science-3rd-sem-k-scheme-msbte-pdf\/","title":{"rendered":"313306: Data Structure Using Python Syllabus for Data Science 3rd Sem K Scheme MSBTE PDF"},"content":{"rendered":"

Data Structure Using Python detailed Syllabus for Data Science (DS), K scheme PDF has been taken from the MSBTE<\/a> official website and presented for the diploma students. For Subject Code, Subject Name, Lectures, Tutorial, Practical\/Drawing, Credits, Theory (Max & Min) Marks, Practical (Max & Min) Marks, Total Marks, and other information, do visit full semester subjects post given below. <\/p>\n

For all other MSBTE Data Science 3rd Sem K Scheme Syllabus PDF, do visit MSBTE Data Science 3rd Sem K Scheme Syllabus PDF Subjects<\/a>. The detailed Syllabus for data structure using python is as follows.<\/p>\n

Rationale<\/h4>\n

For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
\"Get<\/a>.<\/p>\n

Course Outcomes:<\/h4>\n

Students will be able to achieve & demonstrate the following COs on completion of course based learning<\/p>\n

    \n
  1. Develop Python program using basic syntactical constructs.<\/li>\n
  2. Perform operations on sequence structures in Python.<\/li>\n
  3. Implement Modules, Packages in Python for given problem.<\/li>\n
  4. Design classes for given problem.<\/li>\n
  5. Implement Linear Data Structure in Python.<\/li>\n
  6. Develop Python program to implement tree data structure.<\/li>\n<\/ol>\n

    Unit I<\/h4>\n

    Introduction and Control Flow statements in Python 1.1\tFeatures of Python – interactive, object oriented, interpreted, platform independent. 1.2\tPython building blocks – identifiers, keywords, indentation, variables, comments. 1.3\tPython data types: numbers, string, tuples, lists, dictionary. 1.4\tBasic operators: arithmetic, comparison\/ relational, assignment, logical, bitwise, membership, identity operators , Python operator precedence. 1.5\tControl flow: conditional statements (if, if else, nested if),looping in python (while loop, for loop, nested loops) loop manipulation using continue, pass, break, else. Presentations Chalk-Board Hands-on\n<\/p>\n

    Unit II<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>.<\/p>\n

    Unit III<\/h4>\n

    Python Modules and Packages 3.1\tModules: writing modules, importing modules, importing objects from modules, Python built- in modules (e.g. numeric and mathematical module, functional programming module). 3.2\tPython packages: introduction, writing Python packages. 3.3\tUsing standard Numpy: methods in Numpy, creating arrays and initializing, reading arrays from files,special initializing functions, slicing and indexing, reshaping arrays, combining arrays, NumPy maths. Chalk-Board Presentations Hands-on\n<\/p>\n

    Unit IV<\/h4>\n

    Object Oriented Programming in Python 4.1 Introduction to object oriented programming, creating classes and objects, constructor and destructor in Python. 4.2\tData abstraction and data encapsulation. 4.3\tConcept of polymorphism- method overloading and overriding. 4.4\tInheritance and types of inheritance. Chalk-Board Presentations Hands-on\n<\/p>\n

    Unit V<\/h4>\n

    For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App<\/a>
    It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b>
    \"Get<\/a>.<\/p>\n

    Unit VI<\/h4>\n

    Non-Linear Data Structure. 6.1\tTrees – tree Terminology, binary trees: implementation, tree traversals, binary search trees 6.2\tApplications of trees – spanning tree, BST , tree traversal – inorder, preorder and postorder concepts. Presentations Hands-on\n<\/p>\n

    Suggested Micro Project<\/h4>\n<\/p>\n

    Micro project<\/i><\/p>\n