Python Mastery Boot Camp

About Course

Course Overview

This 3-month Python Bootcamp will provide a comprehensive understanding of Python programming along with practical system design principles. It covers fundamental to advanced Python concepts, enabling you to build scalable, reliable systems.

Course Duration

3 Months (12 weeks)

What Will You Learn?

Master Python fundamentals and advanced topics.
Understand and apply system design principles for scalable application development.
Work on real-world projects, databases, web development, and APIs.

Material Includes

Weekly quizzes to test your understanding.
Weekly assignments to apply Python concepts.
Capstone project to showcase skills in Python and system design.
Access to guides, documentation, and helpful resources.

Course Curriculum

Module 1: Introduction to Python & Basic Programming Concepts

Topics: Python setup, data types, basic operators, input/output, and basic problem-solving.

Module 2: Control Flow & Functions

Module 3: Data Structures

Module 4: System Design Basics

Module 5: Object-Oriented Programming (OOP)

Module 6: Error Handling & File I/O

Module 7: Advanced Data Structures & Algorithms

Module 8: Introduction to Python Libraries

Module 9: Decorators, Generators, and Iterators

Module 10: Working with Databases and APIs

Module 11: Introduction to Web Development with Flask

Module 12: Final Project & Capstone

Your Instructors

kodestree

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Python Mastery Boot Camp

kodestree

Bootcamp Courses

February 23, 2025

About Course

What Will You Learn?

Material Includes

Course Curriculum

Module 1: Introduction to Python & Basic Programming Concepts

Topics: Python setup, data types, basic operators, input/output, and basic problem-solving.

Module 2: Control Flow & Functions

Topics: Conditional statements, loops, functions, recursion, and variable scope.

Module 3: Data Structures

Topics: Lists, tuples, sets, dictionaries, and nested data structures.

Module 4: System Design Basics

Topics: Introduction to system design, scalability, reliability, and performance principles.

Module 5: Object-Oriented Programming (OOP)

Topics: Classes, objects, inheritance, polymorphism, encapsulation, and abstraction.

Module 6: Error Handling & File I/O

Topics: Exception handling, custom exceptions, file reading/writing, and context management.

Module 7: Advanced Data Structures & Algorithms

Topics: Stacks, queues, linked lists, searching and sorting algorithms, and Big-O notation.

Module 8: Introduction to Python Libraries

Topics: Introduction to libraries like NumPy, Pandas, and Matplotlib for numerical computing, data analysis, and visualization.

Module 9: Decorators, Generators, and Iterators

Topics: Advanced Python techniques like decorators, lambda functions, iterators, and generators.

Module 10: Working with Databases and APIs

Topics: SQLite, CRUD operations, REST APIs, HTTP requests, and JSON parsing.

Module 11: Introduction to Web Development with Flask

Topics: Building simple web apps with Flask, routing, templates, and handling forms.

Module 12: Final Project & Capstone

Topics: Apply all concepts learned to a real-world project, focusing on Python skills and system design principles.

Your Instructors

kodestree

This course includes:

Quick Links

Courses

Contact Us

Contact US

Follow Us

Python Mastery Boot Camp

February 23, 2025

About Course

What Will You Learn?

Material Includes

Course Curriculum

Module 1: Introduction to Python & Basic Programming Concepts

Topics: Python setup, data types, basic operators, input/output, and basic problem-solving.

Module 2: Control Flow & Functions

Topics: Conditional statements, loops, functions, recursion, and variable scope.

Module 3: Data Structures

Topics: Lists, tuples, sets, dictionaries, and nested data structures.

Module 4: System Design Basics

Topics: Introduction to system design, scalability, reliability, and performance principles.

Module 5: Object-Oriented Programming (OOP)

Topics: Classes, objects, inheritance, polymorphism, encapsulation, and abstraction.

Module 6: Error Handling & File I/O

Topics: Exception handling, custom exceptions, file reading/writing, and context management.

Module 7: Advanced Data Structures & Algorithms

Topics: Stacks, queues, linked lists, searching and sorting algorithms, and Big-O notation.

Module 8: Introduction to Python Libraries

Topics: Introduction to libraries like NumPy, Pandas, and Matplotlib for numerical computing, data analysis, and visualization.

Module 9: Decorators, Generators, and Iterators

Topics: Advanced Python techniques like decorators, lambda functions, iterators, and generators.

Module 10: Working with Databases and APIs

Topics: SQLite, CRUD operations, REST APIs, HTTP requests, and JSON parsing.

Module 11: Introduction to Web Development with Flask

Topics: Building simple web apps with Flask, routing, templates, and handling forms.

Module 12: Final Project & Capstone

Topics: Apply all concepts learned to a real-world project, focusing on Python skills and system design principles.

Your Instructors

kodestree

This course includes:

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