JBK IT Technologies

Best Python Full Stack Core Python  Advanced Python  Python  Training Institute In Dilsukhnagar Hyderabad

Start your IT career with Python Full Stack training at JBK IT Technologies, Dilsukhnagar. Learn through real-time projects and expert-led classroom training.

Python FullStack Tools You Will Learn

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About Jbk It Technologies

JBK IT Technologies provides professional training in both IT and finance domains, offering courses such as Java FullStack Course, Python Course, C/C++ Course, SQL Course, Advanced Excel Course, Tally with GST Course, SAP FICO/MM Course, Power BI Course, Data Analytics, MS Office Course, Digital Marketing Course, and more.

Python FullStack Course Curriculum

Module 1: Core Python Programming
  • Introduction to Python

  • Variables, Data Types, and Operators

  • Conditional Statements and Loops

  • Functions and Recursion

  • Lists, Tuples, Sets, and Dictionaries

  • String Manipulation

  • File Handling

  • Exception Handling

  • Modules and Packages

  • Regular Expressions

  • Lambda, Map, Filter, Reduce

  • Python Libraries (NumPy, Pandas – basics)

  • Working with JSON

  • HTML5 & Semantic Tags

  • CSS3 and Styling Techniques

  • JavaScript Basics (DOM, Events, Validations)

  • Bootstrap for Responsive Design

  • Introduction to jQuery

  • Introduction to Django

  • Django Project Architecture

  • Models, Views, Templates (MVT Pattern)

  • Forms and Validations

  • Admin Interface Customization

  • Django ORM

  • Django with MySQL/PostgreSQL

  • Static Files and Media Files Handling

  • Flask Basics and Routing

  • Templating with Jinja2

  • Forms and Sessions

  • Connecting Flask with Database

  • SQL Basics: DDL, DML, Joins

  • Working with MySQL/PostgreSQL

  • Introduction to MongoDB

  • Integration with Django and Flask

  • API Basics

  • Django REST Framework (DRF)

  • CRUD Operations

  • Consuming APIs with JavaScript

  • API Testing Tools (Postman)
  • Version Control with Git and GitHub

  • Debugging and Logging

  • Virtual Environments and pip

  • Deployment using Heroku, PythonAnywhere, or AWS

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