Nano-Python Programming Language for Automation detailed Syllabus for Nano Technology (Nano), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.
For all other VTU Nano 5th Sem Syllabus for BE 2018 Scheme, do visit VTU Nano 5th Sem Syllabus for BE 2018 Scheme Subjects. The detailed Syllabus for nano-python programming language for automation is as follows.
Course Learning Objectives:
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Module-1
PYTHON – OVERVIEW: History of Python, Python Features.PYTHON – BASIC SYNTAX: First Python Program, Python Identifiers, Lines and Indentation, Multi-Line Statements, Quotation in Python, Comments in Python, Using Blank Lines, Waiting for the User, Multiple Statements on a Single line, Multiple Statement Groups as Suites, Command Line Arguments, Accessing Command-Line Arguments, Parsing Command-Line Arguments, getopt.getopt method, Exception getopt.GetoptError.
Module-2
PYTHON BASIC OPERATORS: Types of Operators, Python Arithmetic Operators, Python Comparison Operators, Python, Python Assignment Operators, Python Bitwise Operators, Python Logical Operators, Python Membership Operators, Python Identity Operators, Python Operators Precedence.
Module-3
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Module-4
PYTHON NUMBERS and STRINGS: Number Type Conversion, Random Number Functions, Trigonometric Functions, Mathematical Constants. PYTHON – STRINGS: Accessing values in strings, updating strings, escape characters, string special operators, string formatting operator, triple quotes, unicode string and built-in string methods – capitalize – center – count – decode – encode.
Module-5
PYTHON LISTS& TUPLES Python Lists Accessing Values in Lists, Updating Lists, Deleting List, Elements Basic List Operations -Indexing, Slicing, and Matrixes, Built-in List Functions – compare – length – max value – min value. Accessing Values in Tuples, Updating Tuples Deleting Tuple, Elements, Basic Tuples Operations – Indexing, Slicing, and Matrixes, No Enclosing Delimiters, Built-in Tuple Functions – compare -length – max value -min value – tuple. ROLE OF NANO IN PYTHON Nano Text Editor – Enable Code Syntax Highlighting for Python, GNU nano – introduction, Invoking, command line options, editor basics, built in help, feature toggles, Nanorc files – syntax highlighting & rebinding keys.
Course Outcomes:
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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Question Paper Pattern:
- The question paper will have ten full questions carrying equal marks. Each full question consisting of 16 marks.
- There will be two full questions (with a maximum of four sub questions) from each module.
- Each full question will have sub question covering all the topics under a module.
Text Books:
- Python Programming Fundamentals Lee, Kent D. Springer First Edition, 2011
- Nano – Python Programming Language for Automation Karthik Nayak, Naveen Kumar J. R., Dr. Prasad Puthiyillam LAP-Lambert Academic Publishers. ISBN: 978-613-995806-1 First Edition, 2018
Reference Books:
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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For detail Syllabus of all other subjects of BE 5th Sem Nano Technology, visit (Nano) 5th Sem Syllabus Subjects.
For all (CBSE & Non-CBSC) BE results, visit VTU BE all semester results direct links.