Python Programming | Part 4 Chapter 2 Unit 1 | Class12 Semester 3 | Computer Application & Science

Python Programming | Part 4 Chapter 2 Unit 1 | Class12 Semester 3 | Computer Application & Science
Python Programming | Day 11 Unit 1 | Class12 Semester 3 | Computer Application & Science

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Python Programming full Syllabus
 Familiarization with the basics of Python programming
 Introduction to Python, Features of Python, executing a simple “helloworld" program, execution modes: interactive mode and script mode, Python character set, Python tokens (keyword, identifier,
literal, operator, punctuator), variables, concept of l-value and rvalue, use of comments.

 Knowledge of data types
 Number(integer, floating point,complex), boolean, sequence(string, list, tuple), None, Mapping(dictionary), mutable and immutable data types. 1 Hour
 Operators
 Arithmetic operators, relational operators, logical operators, assignment operators, augmented assignment operators, identity operators (is, is not), membership operators (in not in). 2 Hours
 Expressions, statement, type conversion, and input/output
 Precedence of operators, expression, evaluation of an expression, type-conversion (explicit and implicit conversion), accepting data as input from the console and displaying output. 3 Hours
 Errors: Syntax errors, logical errors, and run-time errors. 2 Hours
 Flow of Control
 Introduction, use of indentation, sequential flow, conditional and iterative flow.
 Conditional statements
 if, if-else, if-elif-else, flowcharts, simple programs: e.g.: absolute value, sort 3 numbers and divisibility of a number. 5 Hours
 Iterative Statement
 For loop, range(), while loop, flowcharts, break and continue statements, nested loops, suggested programs: generating pattern, summation of series, finding the factorial of a positive number, etc.
7 Hours
 Strings
 Introduction, string operations (concatenation, repetition, membership and slicing), traversing a string using loops, built-in functions/methods–len(), capitalize(), title(), lower(), upper(), count(), find(), index(), endswith(), startswith(), isalnum(), isalpha(), isdigit(), islower(), isupper(), isspace(),lstrip(), rstrip(), strip(), replace(), join(), partition(), split().
 Lists
 Introduction, indexing, list operations (concatenation, repetition, membership and slicing), traversing a list using loops, built-in functions/methods–len(), list(), append(), extend(), insert(), count(), index(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum(); nested lists, suggested programs: finding the maximum, minimum, mean of numeric values stored in a list; linear search on list of numbers and counting the frequency of elements in a list.
 Tuples
 Introduction, indexing, tuple operations (concatenation, repetition, membership and slicing); built-in functions/methods – len(), tuple(), count(), index(), sorted(), min(), max(), sum(); tuple assignment, nested tuple.
 Dictionary
 Introduction, accessing items in a dictionary using keys, mutability of a dictionary (adding a new term, modifying an existing item), traversing a dictionary, built-in functions/methods – len(), dict(),
keys(), values(), items(), get(), update(), del(), del, clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), sorted().
Introduction to Python modules
 Importing module using ‘import module’ and using from statement, importing math module (pi, e, sqrt(), ceil(), floor(), pow(), fabs(), sin(), cos(), tan()); random module (random(), randint(),
randrange()), statistics module (mean(), median(), mode()).

 Functions
 Types of function (built-in functions, functions defined in module, user defined functions), creating user defined function, arguments and parameters, default parameters, positional parameters, function returning value(s), flow of execution, scope of a variable (global scope, local scope).
7 Hours
 Exception Handling
 Introduction, handling exceptions using try-except-finally blocks.
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