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Python Premium Package

Course Instructor vinay narlagiri

₹118000.00

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Course Overview

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Learn directly from industry leaders! Our courses feature instructors who are

Toptech MNC employees, bringing real-worldexperience and practical insights into the classroom. Stay ahead of the curve with knowledge that goes beyond traditional textbooks.

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Connect with the best in the industry through our extensive network of top multinational companies. Benefit from exclusive interactions, workshops, and networking opportunities with professionals at the forefront of technological advancement

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Internship Opportunities:

Gain hands-on experience through exclusive internship opportunities with leading

companies. Apply your knowledge in practical settings, develop a robust skill set, and enhance your employability in the competitive tech landscape.

PlacementAssistance:

Your success is our priority! Our dedicated placement assistance program is designed to guide you toward rewarding career opportunities. Leverage our connections with top companies for a smooth transition from student to

professional.

Weeks 1-2: Introduction to Python and Basics

Week :1Getting Started

Overview of Python and its uses Installing Python and an IDE (Integrated Development Environment)

Writing and running your first Python program

Week 2: Python Basics

Variables and data types

Operators and expressions

Input and output operations


Weeks 3-4: Control Flow and Functions Week 3: Control Flow

Conditional statements (if, elif, else) Looping structures (for, while)

Exception handling Week 4: Functions

Defining and calling functions Parameters and return values Scope and lifetime of variables


Weeks 5-6: Data Structures in Python

Week 5: Lists and Tuples Understanding lists and tuples

List and tuple operations

Slicing and indexing


Weeks 7-8: Object-Oriented Programming (OOP) Introduction to OOP

Understanding OOP concepts Classes and objects in Python Class methods and attributes

Inheritance and Polymorphism

MATH


Weeks 9-10: File Handling and Modules File Handling

Reading and writing to files Working with different file formats (text, CSV, JSON)


Week 10: Modules and Libraries

Importing and using modules Introduction to standard libraries

Creating and using your own modules

ENGLISH



 Week 11-12: Advanced Lists and Tuples List comprehensions

Advanced tuple techniques

Deep dive into list methods Advanced Dictionaries and Sets

Dictionary comprehensions Advanced set operations Handling complex data structures


Weeks 13-14: Web Development with Flask

Introduction to Web Development Overview of web development Introduction to HTML and CSS Setting up a basic Flask project Building Web Applications with Flask Routing and templates in Flask Handling forms and user input Introduction to Flask extensions


Weeks 15-16: Database Integration Introduction to Databases

Basics of relational databases

SQL fundamentals

Connecting Python to databases Database Operations with Python Performing CRUD operations


Weeks 17-18: Introduction to Data Science with Pandas and NumPy Data Manipulation with Pandas Overview of Pandas library DataFrames and Series

Data cleaning and manipulation Week 18: Numerical Computing with NumPy


Weeks 19-20: Introduction to Machine

Learning

Basics of Machine Learning


Week21-22: Introduction to Version Control

Understanding version control systems

Installing and configuring Git

Basic Git commands and workflows

Overviewofmachinelearningconcepts Introduction to scikit-learn


Weeks 23-24: Testing and Debugging

Introduction to Testing Importance of testing in software development

Writing and running tests in Python Unit testing with unittest module


Weeks 25: Final Project and Review Capstone Project and Course Review Integrating learned concepts into a final project



Week 26: Final Exam


Schedule of Classes

Course Curriculum

1 Subject

Python Premium Package

Course Instructor

tutor image

vinay narlagiri

34 Courses   •   38 Students