The Complete Python Bootcamp from Zero to Zero in Python

4.5⭐⭐⭐

Class Structure

1.Warm-up Activity:
• Fun puzzles or coding trivia to engage students.
2. Concept Introduction:
• Explain key concepts using real-world examples.
• Live coding demo to illustrate the topic.
3. Hands-on Coding:
• Students code along with the instructor.
• Support provided via live Q&A.

4. Project Time:
• Implement a mini-project using learned concepts.
• Showcase and discuss student outputs.
5. Wrap-Up and Homework:
• Recap key points.
• Assign creative coding tasks for practice.

Courses Available

₹7̶0̶0̶0 - ₹6999

₹8̶0̶0̶0 - ₹7999

₹9̶0̶0̶0 - ₹8499

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This course content

Module 1: Introduction to Python
• Overview of Python and its applications
• Installing Python and setting up the environment
• Basic syntax and structure
• Writing your first Python program
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Module 2: Python Basics
• Variables and data types
• Input and output functions
• Operators (arithmetic, comparison, logical)
• Control flow:
o Conditional statements: if, else, elif
o Loops: for, while
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Module 3: Data Structures
• Strings, lists, tuples, sets, and dictionaries
• List and dictionary comprehensions
• Built-in functions for data manipulation
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Module 4: Functions
• Defining and calling functions
• Function arguments and return values
• Lambda functions
• Recursion
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Module 5: Object-Oriented Programming (OOP)
• Classes and objects
• Constructors and methods
• Inheritance and polymorphism
• Encapsulation and abstraction

Module 6: File Handling
• Reading from and writing to files
• Working with different file formats (text, CSV, JSON)
• Error handling in file operations
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Module 7: Modules and Packages
• Importing modules
• Using built-in modules (e.g., os, math, random)
• Creating custom modules
• Working with virtual environments
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Module 8: Advanced Topics
• Working with regular expressions
• Decorators and generators
• Multi-threading and multiprocessing
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Module 9: Data Analysis with Python
• Introduction to NumPy
• Data manipulation with Pandas
• Data visualization with Matplotlib and Seaborn
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Module 10: Web Development Basics
• Introduction to Flask/Django
• Building a basic web application
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Module 11: Introduction to Machine Learning

• Basics of machine learning concepts
• Working with Scikit-learn
• Building a simple Machine learning model

What Our Students Have to Say

"The classes are very well-structured, and Sir explains every concept clearly. he makes even complex topics easy to understand with real-life examples. I feel much more confident now!"

Vikram Singh

Sir is very supportive and always encourages us to ask questions. he provides detailed answers and ensures everyone in the class is keeping up. His teaching style is amazing!"

Nisha Das

Sir has excellent knowledge of the subject. He not only teaches but also shares industry insights, which makes the learning process more interesting and relevant."

Aman Verma

"The sessions are very interactive, and Sir makes learning enjoyable. He uses engaging activities and gives us practical assignments that help us apply what we've learned."

Meera Iyer

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Class Timing

Join our online courses with flexible schedules! Live sessions are available weekdays and weekends slots to suit your convenience.

Monday – Friday

Saturday – Sunday

Class Highlights

• Age-appropriate, engaging content.
• Opportunities to collaborate with peers.
• Certification upon course completion.

Technical Requirements

• Laptop or desktop with internet access.
• Code editors based on the grade level:
– Scratch for Classes 3-5.
– Online Python IDEs for Classes 6-12 (e.g., Replit).