Core Python
Course Description
The Core Python Training Course provides a comprehensive introduction to Python programming, covering basic syntax, control structures, functions, modules, and error handling. You will learn how to work with data types, manipulate files, implement OOP principles, and interact with databases. This course will prepare you for roles in software development, automation, web development, data science, and scripting.
Why Choose Our Core Python Training?
Beginner-Friendly Approach – No prior programming experience needed.
Expert-Led Training – Learn from certified Python developers and industry professionals.
Hands-On Projects – Work on real-world coding challenges and automation tasks.
Covers Fundamental to Advanced Concepts – Gain expertise in Python scripting, OOP, and database integration.
Industry-Relevant Applications – Learn Python for web development, automation, data science, and machine learning.
Flexible Learning Options – Choose between live instructor-led training, self-paced learning, and weekend batches.
Who Should Learn Core Python?
Beginners & Students looking to start a career in programming.
Software Developers & Engineers wanting to enhance coding skills.
Data Analysts & Data Scientists working with data processing and automation.
QA & Test Automation Engineers using Python for scripting and testing.
Network Engineers & DevOps Professionals implementing automation solutions.
Web Developers planning to use Django or Flask for backend development.
What You Will Learn in Core Python Training
Introduction to Python & Installation
Setting Up Python Environment (Windows, Mac, Linux)
Using Python IDEs: PyCharm, VS Code, Jupyter Notebook
Running Python Scripts & Understanding Python Syntax

Python Basics & Data Types
Variables, Constants, and Data Types (Numbers, Strings, Lists, Tuples, Sets, Dictionaries)
Type Conversion & Type Casting
Operators: Arithmetic, Relational, Logical, Bitwise
Control Flow & Loops
Conditional Statements (if, elif, else)
Loops (for, while, nested loops)
List Comprehensions & Iterators
Functions & Modules in Python
Defining Functions & Using Parameters
Lambda Functions & Built-in Function.
Importing & Creating Python Modules
Object-Oriented Programming (OOP) in Python
Classes & Objects
Encapsulation, Inheritance, Polymorphism
Constructors & Destructors
File Handling & Exception Handling
Reading & Writing Files (TXT, CSV, JSON)
Handling Errors with Try-Except Blocks
Logging & Debugging Techniques
Database Connectivity with Python
Working with SQLite & MySQL Databases
Executing SQL Queries in Python
Using Python for CRUD Operations