PYTHON PROGRAMMING 
                                                  [R18A0513] 
    
    
                                B.TECH III YEAR – I SEM (R18) 
                                                       (2021-22) 
    
    
    
    
    
         DEPARTMENT OF INFORMATION TECHNOLOGY 
                MALLA REDDY COLLEGE OF ENGINEERING &TECHNOLOGY 
                          (Autonomous Institution – UGC, Govt. of India) 
                                     Recognized under 2(f) and 12 (B) of UGC ACT 1956 
            (Affiliated to JNTUH, Hyderabad, Approved by AICTE - Accredited by NBA & NAAC – „A‟ Grade - ISO 9001:2015Certified) 
    
              Maisammaguda, Dhulapally (Post Via. Hakimpet), Secunderabad – 500100, Telangana State, India 
    
              Python Programming                      
    
    
    
                                             SYLLABUS 
                MALLA REDDY COLLEGE OF ENGINEERING AND TECHNOLOGY 
    
         III Year B. Tech IT -I SEM                                             L     T/P/D C 
                                                                                 3     - / - / -  3 
                                 (R18A0513) PYTHON PROGRAMMING 
          OBJECTIVES: 
                To read and write simple Python programs. 
                To develop Python programs with conditionals and loops. 
                To define Python functions and call them. 
                To use Python data structures –- lists, tuples, dictionaries. 
                To do input/output with files in Python. 
    
           UNIT I 
           INTRODUCTION DATA, EXPRESSIONS, STATEMENTS 
           Introduction to Python and installation, variables, expressions, statements, Numeric data types: Int, float, 
           Boolean, string. Basic data types: list--- list operations, list slices, list methods, list loop, mutability, aliasing, 
           cloning lists, list parameters. Tuple --- tuple assignment, tuple as return value, tuple methods. Sets: operations 
           and methods. Dictionaries: operations and methods. 
    
           UNIT II 
           CONTROL FLOW, LOOPS, FUNCTIONS 
           Conditionals: Boolean values and operators, conditional (if), alternative (if-else), chained conditional (if- 
           elif-else); Iteration: statements break, continue.Functions--- function and its use, pass keyword, flow of 
           execution, parameters and arguments. 
    
           UNIT III 
           ADVANCED FUNCTIONS, ARRAYS 
           Fruitful functions: return values, parameters, local and global scope, function composition, 
           recursion; Advanced Functions: lambda, map, filter, reduce, basic data type 
           comprehensions. Python arrays: create an array, Access the Elements of an Array, array 
           methods. 
    
           UNIT IV 
           FILES,EXCEPTIONS 
           File I/O, Exception Handling, introduction to basic standard libraries, Installation of pip, 
           Demonstrate Modules: Turtle, pandas, numpy, pdb, Explore packages. 
    
           UNIT V 
           OOPS,FRAMEWORK : Object,Class,Method,Inheritance, Polymorphism,Data Abstraction, 
            Encapsulation, Python Frameworks: Explore django framework with an example 
    
            Python Programming                   
    
    
           OUTCOMES: Upon completion of the course, students will be able to 
                  Read, write, execute by hand simple Python programs. 
                  Structure simple Python programs for solving problems. 
                  Decompose a Python program into functions. 
                  Represent compound data using Python lists, tuples, dictionaries. 
                  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, 
                Updated for Python 3, Shroff/O‗Reilly Publishers, 2016. 
                2. R. Nageswara Rao, ―Core Python Programming‖, dreamtech 
                3.  Python Programming: A Modern Approach, Vamsi Kurama, Pearson 
    
           REFERENCE BOOKS: 
                1. Core Python Programming, W.Chun, Pearson. 
                2. Introduction to Python, Kenneth A. Lambert, Cengage 
                3. Learning Python, Mark Lutz, Orielly 
    
               Python Programming                         
    
    
    
                                                              INDEX 
    
                                                                                        
                         UNIT                 TOPIC                                           PAGE NO 
                                     INTRODUCTION DATA, EXPRESSIONS,   
                                     STATEMENTS 
                                     Introduction to Python and installation                     6-10 
                                     Variables                                                  11-13 
                                     Expressions, Statements                                    14-18 
                                     Data types: Int, float, Boolean, string.                   19-30 
                                     Basic data types: list--- list operations, list            31-38 
                                     slices, list methods, 
                          I          list loop, mutability, aliasing, cloning lists, list       39-47 
                                     parameters. 
                                     Tuple --- tuple assignment, tuple as return                48-50 
                                     value, tuple methods 
                                     Dictionaries: operations and methods.                      51-56 
                                     CONTROL FLOW, LOOPS, FUNCTIONS   
                                     Conditionals: Boolean values and operators                 57-59 
                                     Conditional (if), alternative (if-else), Chained           59-63 
                          II         conditional (if-elif-else) 
                                     Iterations                                                 64-71 
                                     Statements break, continue.                                72-77 
                                      Functions and its use                                     78-82 
                                     Pass keyword, flow of execution, parameters                83-92 
                                     and arguments. 
                                     ADVANCED FUNCTIONS,                                
                                     ARRAYS 
                                      Fruitful functions: return values, parameters,            93-96 
                                     Local and Global scope, function                           97-99 
                                     Composition 
                         III          Recursion, lambda, map, filter, reduce,                  100-101 
                                     Basic data type comprehensions                            102-103 
                                     Python arrays: create an array,                           103-106 
                                     Access the Elements of an Array, 
                                     array methods. 
    
               Python Programming