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