Python Training in Vadodara | Boost Your Tech Career

Python Training : Step By Step For Beginners to Advanced

Python Training Overview

Prerequisites

Basic Computer Literacy
Basic Understanding of Programming Concepts (Optional)
Development Environment Setup

Python Fundamentals Training Includes

Introduction to Python
Basic Syntax and Data Types
Control Structures
Functions and Modules
Data Structures
File Handling
Error Handling
Object-Oriented Programming (OOP)

Key Highlights

Hands-On Projects
Interactive Learning
Comprehensive Curriculum
Resource Materials
Certification

Course Content

Introduction to Python

What is Python?
Setting Up the Environment

Python Basics

Syntax and Semantics
Basic Data Types
Operators
Control Flow

Functions and Modules

Defining Functions
Advanced Function Concepts
Modules and Packages

Data Structures

Lists
Tuples
Dictionaries
Sets

File Handling

Reading and Writing Files
File Methods
CSV and JSON Files

Exception Handling

Introduction to Exceptions
Custom Exceptions

Object-Oriented Programming (OOP)

Classes and Objects
Advanced OOP Concepts
Magic Methods and Operator Overloading

Advanced Python Concepts

Iterators and Generators
Decorators
Context Managers

Working with Libraries

Requests
More Libraries from pypi.org

Working with Databases

SQLite
SQLAlchemy
Other Databases

Web Development with Python

Flask
Django

Testing and Debugging

Unit Testing
PyTest
Debugging Techniques

Version Control with Git

Introduction to Git
Using Git with GitHub

Deployment

Deploying Python Applications
Creating Virtual Environments

Road Map

1. Download and Install Python and Pycharm
2. Writing First Python Program
3. Variables in Python
4. Program to swap two numbers
5. Data Types in Python
6. Operators in Python
7. If Else Conditional Statements in Python
8. Tuples in Python
9. For Loop in Python
10. OOP in Python | Object Oriented Programming
11. Classes and Objects in Python
12. Inheritance in Python
13. Multiple Inheritance in Python
14. Multilevel Inheritance in Python
15. Hierarchical Inheritance in Python
16. Hybrid Inheritance in Python
17. pip & PyPI in python | Packages in Python
18. Python BitWise Operators
19. MySQL Workbench Setup | Python Database
20. Python Database Connection | MySQL
21. Python GitHub Code Contribution
22. Zip Function in Python
23. Socket Programming Using Python
24. Anaconda Setup
25. Jupyter Notebook Setup
26. First App in Django

27. Django Template Language
28. Addition of Two Numbers in Django
29. GET vs POST | HTTP Methods
30. Model View Template in Django | MVT
31. If Statement
32. ORM | Object Relational Mapper | Theory
33. Postgres and PgAdmin Setup
34. Models and Migrations
35. Excel Write
36. Web Data Extraction
37. Extract Title, H1, H2 and other
38. Extract all urls from the page and using recrusion extract all other linked urls.
39. Extract title, h1 and h2 from all the url and generate excel file
40. SQL Introduction
41. Connection of Python with Database
42. Project Development - Simple Weather App
43. Project Development - Simple Weather App

Course Key Features

Comprehensive Curriculum
Framework
Data Science and Machine Learning
Data Science and Machine Learning
Create API using industry tools ,software amd Webside
Automation and Scripting
Industry Best Practices

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Fees Structure

Fees Structure will be depends on the what type of course you are joining, for example if you are joining for regular batch for 3 month course then fees will be 15000/- if you are joining in group then fees discount will be applicable, for weekend batch fees will be different, For Faculty Development Program and Industrial Training Fees will be different.