O Level - Syllabus of Programming and Problem Solving Through Python Language (M3-R5)
Introduction to Module :
Python is easy to use, powerful and versatile programming language, making it a great
choice for developers. Python is used widely in different areas likes building
Raspberry Pi applications, writing script program for desktop applications, configuring servers, developing machine learning& data analytics applications and
developing web applications.
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| O Level - Syllabus of Programming and Problem Solving Through Python Language (M3-R5) |
Detailed Syllabus -
(i) Introduction to Programming :
The basic Model of computation, algorithms, flowcharts, Programming
Languages, compilation, testing & debugging and documentation.
(ii) Algorithms and Flowcharts to Solve Problems :
Flow Chart Symbols, Basic algorithms/flowcharts for sequential processing,
decision based processing and iterative processing. Some examples like:
Exchanging values of two variables, summation of a set of numbers, Decimal
Base to Binary Base conversion, Reversing digits of an integer, GCD (Greatest
Common Divisor) of two numbers, Test whether a number is prime, factorial
computation, Fibonacci sequence, Evaluate ‘sin x’ as sum of a series, Reverse
order of elements of an array, Find largest number in an array, Print elements of
upper triangular matrix, etc.
(iii) Introduction to Python :
Python Introduction, Technical Strength of Python, Introduction to Python
Interpreter and program execution, Using Comments, Literals, Constants,
Python’s Built-in Data types, Numbers (Integers, Floats, Complex Numbers,
Real, Sets), Strings (Slicing, Indexing, Concatenation, other operations on Strings), Accepting input from Console, printing statements, Simple ‘Python’
programs.
(iv) Operators, Expressions and Python Statements : Assignment statement, expressions, Arithmetic, Relational, Logical, Bitwise
operators and their precedence, Conditional statements: if, if-else, if-elif-else;
simple programs, Notion of iterative computation and control flow –range
function, While Statement, For loop, break statement, Continue Statement, Pass
statement, else, assert.
(v) Sequence Data Types :
Lists, tuples and dictionary, (Slicing, Indexing, Concatenation, other operations
on Sequence datatype),concept of mutability, Examples to include finding
the maximum, minimum, mean; linear search on list/tuple of numbers, and
counting the frequency of elements in a list using a dictionary.
(vi) Functions :
Top-down approach of problem solving, Modular programming and functions,
Function parameters, Local variables, the Return statement, DocStrings, global
statement, Default argument values, keyword arguments, VarArgs parameters.
Library function-input(), eval(),print(), String Functions: count(), find(), rfind(),
capitalize(), title(), lower(), upper(), swapcase(), islower(), isupper(), istitle(),
replace(), strip(), lstrip(), rstrip(), aplit(), partition(), join(), isspace(), isalpha(),
isdigit(), isalnum(), startswith(), endswith(), encode(), decode(), String: Slicing,
Membership, Pattern Matching, Numeric Functions: eval(), max(), min(), pow(),
round(), int(), random(), ceil(), floor(), sqrt(), Date & Time Functions, Recursion.
(vii) File Processing :
Concept of Files, File opening in various modes and closing of a file, Reading from
a file, Writing onto a file, File functions-open(), close(), read(), readline(),
readlines(),write(), writelines(),tell(),seek(), Command Line arguments.
(viii) Scope and Modules :
Scope of objects and Names, LEGB Rule
Module Basics, Module Files as Namespaces, Import Model, Reloading Modules.
(ix) NumPy Basics :
Introduction to NumPy, ndarray, datatypes, array attributes, array creation routines,
Array From Existing Data, Array From Numerical Ranges, Indexing & Slicing.
Click Here for PDF - Syllabus of Programming and Problem Solving Through Python Language (M3-R5)
Click Here for PDF - Syllabus of Programming and Problem Solving Through Python Language (M3-R5)
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