Conditional Statements If, else, and elif statements Loops For loops, while loops Loop control statements (break, continue, pass)

Lists List operations and methods Tuples Tuple operations and methods Dictionaries Dictionary operations and methods Sets Set operations and methods

List Comprehensions Creating lists with comprehensions Generators and Iterators Using and creating generators Iterators in Python Decorators Understanding and using decorators

Reading and Writing Files Working with text and binary files File methods and operations Exception Handling Try, except, finally blocks Custom exceptions

Conditional Statements If, else, and elif statements Loops For loops, while loops Loop control statements (break, continue, pass)

Lists List operations and methods Tuples Tuple operations and methods Dictionaries Dictionary operations and methods Sets Set operations and methods

List Comprehensions Creating lists with comprehensions Generators and Iterators Using and creating generators Iterators in Python Decorators Understanding and using decorators

Reading and Writing Files Working with text and binary files File methods and operations Exception Handling Try, except, finally blocks Custom exceptions

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Q: Python Programming & Basics

Introduction to Python Setting up the environment Basic syntax and first program Variables and Data Types Different data types in Python Type casting and type conversion Basic Operations Arithmetic, logical, and comparison operations Input and output functions

Q: Functions and Modules

Defining Functions Function arguments and return values Modules and Packages Importing and using standard libraries Creating and using custom modules Defining Functions Function arguments and return values Modules and Packages Importing and using standard libraries Creating and using custom modules

Q: Functions and Modules

Defining Functions Function arguments and return values Modules and Packages Importing and using standard libraries Creating and using custom modules Defining Functions Function arguments and return values Modules and Packages Importing and using standard libraries Creating and using custom modules

Q: Object-Oriented Programming (OOP)

Classes and Objects Defining and using classes Inheritance Single and multiple inheritance Polymorphism Method overriding and overloading Encapsulation Private, protected, and public members

Q: Projects and Applications

Mini Projects Building simple applications Final Project Comprehensive project covering all learned topics

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No Pre-requisite Required: Start from scratch
Live Lectures with Recordings: Learn at your own pace
150+ Coding Questions: Practice from top companies
Live Interview Preparation & Mentorship Sessions
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Python Programming from Beginner to Advanced:
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About the Program

A comprehensive program that covers the fundamentals of Python programming. It includes lectures and exercises to help students master Python and implement efficient solutions. This course is suitable for both beginners and experienced programmers, aiming to prepare students for technical interviews and job placements.

Key Points:

🗓️ Course Starts On: 10th June, 2024
⏰ Class Timings: Monday-Friday 9:00PM-10:20PM
📹 Mode of the Course: LIVE mode
🔴 Class Recording Provided: Yes
🤔 Doubt Classes: After class
❤️ Course Validity: Lifetime
🐍 Programming Language Used: Python

Comprehensive Course Modules

Dive into a wealth of knowledge with our detailed and extensive course content.

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Python Programming & Basics

Introduction to Python
- Setting up the environment
- Basic syntax and first program
Variables and Data Types
- Different data types in Python
- Type casting and type conversion
Basic Operations
- Arithmetic, logical, and comparison operations
- Input and output functions

Control Structures

Conditional Statements
- If, else, and elif statements
Loops
- For loops, while loops
- Loop control statements (break, continue, pass)

Functions and Modules

Defining Functions
- Function arguments and return values
Modules and Packages
- Importing and using standard libraries
- Creating and using custom modules
Defining Functions
- Function arguments and return values
Modules and Packages
- Importing and using standard libraries
- Creating and using custom modules

Data structures

Lists
- List operations and methods
Tuples
- Tuple operations and methods
Dictionaries
- Dictionary operations and methods
Sets
- Set operations and methods

Functions and Modules

Defining Functions
- Function arguments and return values
Modules and Packages
- Importing and using standard libraries
- Creating and using custom modules
Defining Functions
- Function arguments and return values
Modules and Packages
- Importing and using standard libraries
- Creating and using custom modules

Advanced Topics

List Comprehensions
- Creating lists with comprehensions
Generators and Iterators
- Using and creating generators
- Iterators in Python
Decorators
- Understanding and using decorators

Object-Oriented Programming (OOP)

Classes and Objects
- Defining and using classes
Inheritance
- Single and multiple inheritance
Polymorphism
- Method overriding and overloading
Encapsulation
- Private, protected, and public members

File Handling

Reading and Writing Files
- Working with text and binary files
- File methods and operations
Exception Handling
- Try, except, finally blocks
- Custom exceptions

Projects and Applications

Mini Projects
- Building simple applications
Final Project
- Comprehensive project covering all learned topics

AI Tools for Development

ChatGpt for Development

⭐️ Best IT Trainer Awarded Instructors

Our Instructors

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20k+ Happy Students

Rave reviews from thousands

Hear from our satisfied students about their experience with our training.

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Rohit S. from Bangalore

The 45-day Python course was a game-changer for me. The hands-on projects and live sessions helped me understand complex concepts easily. I secured a job as a Python developer within two months of completing the course.

Anjali from Mumbai

Joining this course was the best decision I made for my career. The instructors are incredibly knowledgeable and supportive. I gained confidence in coding and landed a high-paying job right after graduation.

Vikram from Delhi

The comprehensive curriculum and practical approach of this course prepared me well for technical interviews. I was able to crack my dream job at a top tech company thanks to the skills I learned here.

Sneha from Hyderabad

As a beginner, I was initially intimidated by programming, but this course made learning Python fun and engaging. The live mentorship sessions were particularly helpful, and I now work as a data analyst.

Arjun from Chennai

I had some prior coding experience, but this course took my skills to the next level. The real-world projects and doubt sessions were invaluable. I got a 50% salary hike after completing the course.