O level python Notes in hindi PDF Download || O level m3 r5 Notes in hindi / English
m3 r5 O level Notes : Programming and Problem Solving Through Python Language (M3-R5)
Demo: O Level Python language Notes pdf in Hindi (Sample)
Demo: O Level Python language Notes pdf in English (Sample)
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ü ü Chapter wise E notes PDF ( हिन्दी और English मे Note:PDF किसी एक language (या तो hindi या तो english) में ही मिलेगी )
ü Chapter wise Video classes
ü Assignment ( Practice Questions )
ü Solved Old Paper
ü One लाइन वाले important Points
ü Part 1 मे पूछे जाने वाले (objectives) बहुविकल्पीय प्रश्नोत्तर की तैयारी
ü Exam से पहले Model paper ताकि आप exam से पहले अपनी तैयारी चेक कर सके|
ü Guess Paper (Important Question For Exam)
ü Whatsapp Support
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इसे भी पढ़े :
- O Level Online Test (M1-R5 / M2-R5 / M3-R5 / M4-R5)
O Level Exam Free Test : Click Here
O Level Exam Free Test : Click Here
Enotes और Video Class का Demo देखने के लिए यहा CLICK करे।
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O Level M2 R5 (Web designing & Publshing) Notes PDF
m3 r5 O level Syllabus (NEW)
Python फ्री टेस्ट हिन्दी में देने के लिए यहाँ click करें
1. Introduction to Programming
2. Algorithms 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. Scope and Modules
9. NumPy Basics
Detailed Syllabus O Level M3 R5 Python Language
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Scope and Modules
Scope of objects and Names, LEGB Rule Module Basics, Module Files as Namespaces, Import Model, Reloading Modules.
9. 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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