Python Syllabus | O Level Python Syllabus | Download O Level Python Syllabus

O Level Python Syllabus 

Outline of Module

1.  Introduction to Programming
2. Algorithm and Flowcharts to solve problems 
3.  Introduction to Python
4. Operators, Expressions and Python Statements
5. Sequence data types
6.  Functions 
7.  File Processing 
8.  Modules 
9.  NumPy Basics 

Marks Distribution

Module Unit Written                                                                                                 Marks (Max.)

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1. Introduction to Programming, Algorithm and Flowcharts to solve problems                20

2. Introduction to Python, Operators, Expressions and

 Python Statements, Sequence data types                                                                       30

3. Functions, File Processing, Modules                                                                             40

4. NumPy Basics                                                                                                              10

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5. Total                                                                                                                             100

Detailed Syllabus

Introduction to Programming

• The basic Model of computation, 
• algorithms, 
• flowcharts, 
• Programming Languages, 
• compilation, 
• testing & debugging and documentation. 

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. 

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

Strings

• Accepting input from Console, 
• printing statements, Simple ‘Python’ programs.

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, 
• Loop:
• While Statement, For loop, 
• break statement, Continue Statement, 
• Pass statement, else, assert.

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.

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.

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.

Scope and Modules

• Scope of objects and Names, LEGB Rule Module Basics, 
• Module Files as Namespaces, Import Model, 
• Reloading Modules.

NumPy Basics

• Introduction to NumPy, 
• ndarray, datatypes, 
• array attributes, 
• array creation routines,
• Array From Existing Data, 
• Array From Numerical Ranges, Indexing & Slicing.