Coding

Master C and Python to build a strong programming foundation, enabling you to develop cutting-edge AI and ML models, create innovative applications, and design dynamic web solutions. Unlock limitless possibilities in technology by gaining hands-on experience in coding, automation, and problem-solving for the future.

C Programming

Introduction to C – Understanding the history, features, and structure of a C program.
Setting Up Environment – Installing a C compiler and writing your first program.
Basic Syntax & Data Types – Understanding variables, constants, keywords, and primitive data types.
Operators & Expressions – Using arithmetic, relational, logical, bitwise, assignment, and conditional operators.
Input and Output – Using printf() and scanf() for standard input and output.
Control Flow – Decision Making – Implementing if, if-else, nested if, and switch-case statements.
Control Flow – Loops – Using for, while, and do-while loops for iteration.
Functions & Recursion – Defining functions, passing parameters, return values, and recursive functions.
Arrays & Strings – Working with single and multi-dimensional arrays, string functions, and manipulation.
Pointers Basics – Understanding pointer variables, memory addresses, and dereferencing.
Structures & Unions – Defining and using struct and union for complex data storage.
File Handling Basics – Using fopen(), fclose(), fprintf(), fscanf() for file operations.
Preprocessor Directives – Using #define, #include, and conditional compilation macros

Dynamic Memory Allocation – Using malloc(), calloc(), realloc(), and free() for memory management.
Advanced Pointers – Understanding pointer arithmetic, pointer-to-pointer, and function pointers.
Bitwise Operations – Manipulating data using bitwise operators and masks.
Advanced File Handling – Using fseek(), ftell(), fgetc(), fputc(), and binary file operations.
Command Line Arguments – Passing arguments to main() and handling user input dynamically.
Data Structures in C – Implementing stacks, queues, linked lists, trees, and graphs.
Sorting & Searching Algorithms – Implementing sorting (bubble, quick, merge, etc.) and searching algorithms.
Memory Management & Garbage Collection – Understanding memory leaks, segmentation faults, and efficient memory handling.
Multi-threading in C – Using POSIX threads (pthreads) for parallel programming.
Interfacing with Assembly – Writing inline assembly and linking C with assembly code.
Signal Handling – Catching and handling signals using signal.h.
Networking in C – Implementing socket programming for TCP/UDP communication.
Creating and Using Libraries – Building static (.a) and dynamic (.so) libraries.
Makefiles and Build Automation – Using Makefile to automate compilation and linking.
Embedded Systems & Low-Level Programming – Interfacing with hardware and optimizing for resource-constrained environments.
System Programming – Working with processes, threads, and system calls using unistd.h and sys/types.h.

Python Programming

Introduction to Python – Understanding Python’s history, installation, and running scripts.
Variables and Data Types – Working with integers, floats, strings, lists, tuples, and dictionaries.
Operators and Expressions – Using arithmetic, comparison, logical, bitwise, and assignment operators.
Control Flow Statements – Implementing if, elif, else, and switch-case alternatives.
Loops in Python – Using for and while loops with break and continue statements.
Functions and Modules – Defining functions, passing arguments, using return values, and importing modules.
String Manipulation – Slicing, formatting, and using built-in string methods.
Lists, Tuples, and Sets – Creating and modifying collections with indexing, slicing, and methods.
Dictionaries and JSON – Storing key-value pairs and parsing JSON data.
Exception Handling – Using try, except, finally, and raise for error handling.
File Handling – Reading, writing, and appending to files with open() and file modes.
Basic Object-Oriented Programming (OOP) – Understanding classes, objects, methods, and constructors.
Working with Libraries – Using math, random, and datetime for simple tasks.
Introduction to Regular Expressions – Matching patterns with the re module.
Basic Debugging Techniques – Using print statements and pdb for troubleshooting.

Advanced OOP Concepts – Implementing inheritance, polymorphism, abstraction, and encapsulation.
Decorators and Generators – Using @decorators and yield for efficient programming.
Iterators and Context Managers – Custom iterators and using with statements for resource management.
Multithreading and Multiprocessing – Optimizing performance with concurrent execution.
Functional Programming – Using lambda, map(), filter(), and reduce().
Advanced Exception Handling – Creating custom exceptions and handling multiple exceptions.
Metaprogramming and Reflection – Understanding type(), dir(), getattr(), and metaclasses.
Working with APIs – Consuming REST APIs using requests and json modules.
Database Connectivity – Using SQLite, MySQL, and PostgreSQL with sqlite3 and SQLAlchemy.
Data Science and Pandas – Analyzing data using pandas, numpy, and matplotlib.
Machine Learning with Python – Implementing ML models with scikit-learn and tensorflow.
Web Development with Flask/Django – Creating web applications and REST APIs.
Testing and Debugging – Using unittest, pytest, and logging techniques.
Cybersecurity and Cryptography – Encrypting data with hashlib and cryptography modules.
Automation and Scripting – Writing scripts to automate tasks with selenium and pyautogui.

Basic

For Classes upto 5-8

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For Classes upto 8 -10

₹ 1500

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