Problem Solving Using Python detailed syllabus for Robotics Process Automation (RP) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Robotics Process Automation students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Robotics Process Automation 3rd Sem scheme and its subjects, do visit Robotics Process Automation (RP) 3rd Sem 2021 revision scheme. The detailed syllabus of problem solving using python is as follows.
Course Objectives:
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Course Outcomes:
On completion of the course student will be able to:
- Develop algorithmic solution to simple problems and construct Python programs using control statements and expressions.
- Develop programs using functions and slicing operation.
- Use Python data structures – List, Tuple, and Dictionary – for solving problems.
- Explain files, exceptions, and modules in Python for solving problems
Module 1:
Problem Analysis: – Methodology of problem solving- Algorithm and flowchart with examples, pseudo code. Introduction to Python: – Identifiers, keywords, variables, data types. Operators, expressions, precedence of operators, associativity. Input and output functions. Control statements: if elif else statement, iteration statements- while, for. Break and continue statements. Programming examples.
Module 2:
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Module 3:
Lists: – Introduction: – values and accessing elements, List operations- concatenation, repetition and in operator. Traversing a List. Built-in List methods- len(), append(), insert(), index(), pop(), remove(), reverse() etc. Programming examples. Tuples: – Introduction: – creating Tuples, accessing values in Tuples, operations- concatenation, repetition and in operator. Built-in-Tuple functions- len(), max(), min() etc. Programming examples. Dictionaries:- Introduction: – creating Dictionary, accessing values in Dictionary. Traversing. Built-infunctions- len(), dict(), keys(), values(), items(), get(), update(), del(), clear(), pop(), popitems() etc. Programming examples.
Module 4:
Files: – Introduction: – Types of files- Text, binary and CSV files. Opening, closing, reading and writing in a text binary and CSV files. Setting offsets in a file. Pickle module- load() and dump(). Programming examples Exceptions: – Exceptions, built-in-exceptions, handling exceptions – Programming examples.
Text Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Reference Books:
- Lambert K.A, Fundamentals of Python-First Programs. Cengage Learning India 2015.
- Perkovic .L., Introduction to Computing Using Python, 2nd Edition
- Zelle. J., Python Programming: An Introduction to Computer Science.
- Allen Downey, Jeffrey Elkner, Chris Meyers., How to think like a computer scientist : learning with Python, 1st Edition
Online Resources
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
For detailed syllabus of all other subjects of Robotics Process Automation (RP), 2021 revision curriculum do visit Robotics Process Automation 3rd Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Robotics Process Automation (RP) of diploma 2021 revision curriculum do visit SITTTR diploma Robotics Process Automation (RP) results..
For all Robotics Process Automation academic calendars, visit Robotics Process Automation all semesters academic calendar direct link.