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picture1_Python Pdf 184957 | 2022 02 04 10 52 53 Python Cc Syllabus


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File: Python Pdf 184957 | 2022 02 04 10 52 53 Python Cc Syllabus
pg department of computer science mary matha arts science college mananthavady certificate course python programming for beginners syllabus course code theory practical time cccspy21 22 10 hours 15 hours 3 ...

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                                    PG Department of Computer Science
                           Mary Matha Arts & Science College Mananthavady
                                                                          
                                               Certificate Course
                                 Python Programming for Beginners
                                                       Syllabus
                           Course Code          Theory           Practical           Time
                         CCCSPY21-22           10 Hours          15 Hours         3.30 to 4.30
                
               COURSE OUTCOME
                     Learn Python for expressing computation
                     Familiarize with functions and modules in python
                     Understand data visualization concepts of mathematical and statistical concepts
                     Learn the techniques for database connectivity and GUI programming in Python
               Module 1
               Features  of  Python,  Different  Methods  to  Run  Python,  Basic  Elements,  Comments, 
               Indentation in Python, Input and Output in Python, import function, Operators in Python, 
               Branching, Iteration, range and enumerate functions, Data types, Built-in methods of lists, 
               sets and dictionaries, Mutable and Immutable Objects.                                    (5 
               Hours)
               Module 2
               Functions,  Recursion,  Modules,  Built-in  Modules,  Creating  Modules,  File  Handling, 
               Exception handling, Object Oriented Programming Features of Python. Arrays in Python, 
               Numpy  Module,  ndarray,  Creating  Arrays,  Two-Dimensional  Array,  Indexing,  Slicing, 
               Iterating, Copying, Splitting, Shape Manipulation, Arithmetic Operations on Arrays.      (6 
               Hours)
               Module 3
               Data visualization: The Matplotlib Module, Plotting Simple Mathematical Functions-famous 
               curves power series-Fourier series-2D plot using colors. Numerical methods: Derivative of a 
               function- numerical integration ordinary differential equation polynomials -finding roots of 
               an equation system of linear equations - least square fitting-interpolation.    (7 Hours)
               Module 4
               Connecting to a Database, Basic Operations on Database, Fetching Data from a Database, 
               Transaction Control. GUI Programming using Tkinter, Tkinter Widgets, Layout Managers. 
                                                                                                         (7 Hours)
                 Books and Reference:
                     1. Taming Python By Programming, Dr. Jeeva Jose, Khanna Publishing
                     2. Introduction  to  Computation  and  Programming  Using  Python  with  Application  to 
                         Understanding Data - John V. Guttag, PHI (2016)
                     3. https://www.numpy.org/devdocs/user/quickstart.html
                     4.  https://www.tutorialspoint.com/python/
                     5.  Introduction to Computer Science using Python - Charles Dierbach, Wiley (2015)
                     6.  Python for Education by Ajith Kumar B P
                     7.  https://docs.python.org/3/tutorial/index.html
                     8.  https://matplotlib.org/users/pyplot_tutorial.html
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...Pg department of computer science mary matha arts college mananthavady certificate course python programming for beginners syllabus code theory practical time cccspy hours to outcome learn expressing computation familiarize with functions and modules in understand data visualization concepts mathematical statistical the techniques database connectivity gui module features different methods run basic elements comments indentation input output import function operators branching iteration range enumerate types built lists sets dictionaries mutable immutable objects recursion creating file handling exception object oriented arrays numpy ndarray two dimensional array indexing slicing iterating copying splitting shape manipulation arithmetic operations on matplotlib plotting simple famous curves power series fourier d plot using colors numerical derivative a integration ordinary differential equation polynomials finding roots an system linear equations least square fitting interpolation con...

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