Name: M3-R5.1 Full Batch
Price: 279.0 INR
Rating: 4.9 (647 reviews)

M3-R5.1 Full Batch

Problem Solving Through Python

Course Description

यह कोर्स विशेष रूप से आपको NIELIT O Level Exam (Module: M3-R5.1, Paper Name: Python Language) के लिए बहुत ही उपयोगी और महत्वपूर्ण है| हमारा कोर्स आपकी सफलता सुनिश्चित करने के लिए सर्वश्रेष्ठ Content(Study Material)के साथ पूरा बैच, Strategic approach, Complete Syllabus, Notes, Practical, Viva, Objectives, Preivious year Paper व ऑनलाइन टेस्ट प्रदान करता है। हमारे Content से पिछले 5 सालो से भी अधिक हर बार exam में Same Question, Same Option के साथ आते है|

This batch includes(इस बैच में यह मिलेगा):

🎯Special: NIELIT द्वारा बनाये गये लगभग 200+ खतरनाक MCQs का कलेक्शन जो न तो इन्टरनेट पर है, न किसी बुक या अन्य प्लेटफोर्म पर

Chapterwise PDF Notes
Chapterwise Classes(Recorded+Live)
1700+ Objective (MCQs) Classes
Objective (MCQs) PDFs
Old Solved Paper PDFs
Old Solved Paper Videos
Original Practical Old Paper PDF
Original Practical Old Paper Videos
Practical Concept Classes
Viva PDF With Classes
One Liner Points PDF
5 Premium Full Length Test(Same Exam Interface)
Bilingual Content

Note: Class Hinglish में व PDF Notes हिंदी और English में है|
Some Notes PDF are not be downloadable or printable.

आप हमारे इस बैच में शामिल हों और परीक्षा में सफलता प्राप्त करें| अब तक लाखो Students ने अपना O Level व सैकड़ो Students ने A Level ने अपना कोर्स S, A, B, C व D grade से कम्पलीट किया है|

Syllabus

Detailed Syllabus O Level Python(M3-R5.1)

(i) (i 1. Introduction to Programming

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

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, Doc Strings, 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, PatternMatching, 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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Curriculum

1. Introduction to programming (2 Lectures)

Class 1

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Class 2

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2. Algorithms and flowcharts to solve problems (3 Lectures)

Introduction to Algorithm

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Introduction to Flowchart

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Introduction to Psuedocode

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3. Introduction to python (7 Lectures)

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Pickle Module

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9. Numpy Basics (4 Lectures)

Class 1

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Class 2

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Class 3

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Class 4

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PDF Notes (5 Lectures)

All Questions Banks PDF

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One Liner PDF

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EMH PDF

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Solved Old Paper PDF

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Chapterwise MCQs Videos (10 Lectures)

MIX MCQs Videos (3 Lectures)

Model Paper 1

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Model Paper 1.2

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Model Paper 2

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PYQ MCQs Videos (5 Lectures)

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