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PYTHON LAB [1]

Paper Code: 
SBCA 302
Credits: 
2
Periods/week: 
4
Max. Marks: 
100.00
Objective: 
The course will enable the students to
  1. Define the basic concepts of python programming.
  2. Understand the concepts of python functions and its uses.
  3. Demonstrate the Modules and packages used in Python Programming.

 

Course Outcomes (COs):

Course Outcome (at course level)

Learning and teaching strategies

Assessment Strategies

The students will:

CO148. Install and run the Python interpreter

CO149. Write    python programs usingprogramming     and looping constructs to tackle any  decision-making scenario.

CO150. Identify and  resolve coding errors in a program

CO151. Illustrate the process of structuring the   data   using lists, dictionaries, tuples and sets.

CO152. Design and develop real- life applications using python

Interactive Lectures, Discussion,

Tutorials, reading assignments,

Demonstrations, G-suite. Self-

learning assignments, Effective

questions, Simulation, Seminar

presentation, Giving tasks,

Performing practical

Class test, Semester

end examinations,

Quiz, Solving

problems in tutorials,

Assignments,

Presentation,

Individual and group projects

 

 

Exercises given will be covering entire syllabi as follows:

  • Jupyter Installation for Python, Features of Python, Python Applications
  • Basics of Python: variables, data types, operators & expressions, decision statements.
  • Loop control statements.
  • Functions
  • Understand the difference between a function and an object.
  • String manipulation
  • Tuples, sets and dictionaries: Need, Creation, Operations and in-built functions

 

 

REFERENCES: 

E-RESOURCES

  1. https://www.python.org/downloads/ [2]
  2. https://jupyter.org/
  3. https://www.jigsawacademy.com/blogs/business-analytics/ [3]
  4. https://nptel.ac.in/courses/106106182 [4]
  5. https://www.geeksforgeeks.org/ [5]

 

JOURNALS

  1. https://vciba.springeropen.com/ [6]
  2. https://appliednetsci.springeropen.com/ [7]
  3. https://epjdatascience.springeropen.com/ [8]

 

Academic Year: 
2022-23 [9]

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Source URL: https://csit.iisuniv.ac.in/courses/subjects/python-lab-0

Links:
[1] https://csit.iisuniv.ac.in/courses/subjects/python-lab-0
[2] https://www.python.org/downloads/
[3] https://www.jigsawacademy.com/blogs/business-analytics/
[4] https://nptel.ac.in/courses/106106182
[5] https://www.geeksforgeeks.org/
[6] https://vciba.springeropen.com/
[7] https://appliednetsci.springeropen.com/
[8] https://epjdatascience.springeropen.com/
[9] https://csit.iisuniv.ac.in/academic-year/2022-23