A Level - Syllabus of Module: A3-R5-Programming and Problem Solving though
Python Language
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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| A Level - Syllabus of Module: A3-R5-Programming and Problem Solving though Python Language |
(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
Division) 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 data type), 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.
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