OBERON GLOBAL SOLUTIONS PVT LTD

SYLLABUS - PYTHON FULLSTACK TRAINING

Month 1-2: Introduction to Python Basics

1. Week 1-2: Getting Started

• Installing Python

• Setting up development environments (IDEs)

• Writing and running basic Python programs

2. Week 3-4: Python Syntax and Data Types

• Variables and data types (integers, floats, strings)

• Basic operators

• Control flow (if statements, loops)

3. Week 5-6: Functions and Modules

• Defining and calling functions

• Modules and packages

• Importing and using libraries

Month 3-4: Advanced Python Concepts

1. Week 1-2: Advanced Data Structures

• Lists, tuples, sets, dictionaries

• List comprehensions

• Advanced operations on data structures

2. Week 3-4: Object-Oriented Programming (OOP)

• Classes and objects

• Inheritance, encapsulation, polymorphism

• Design principles in OOP

3. Week 5-6: Exception Handling and File I/O

• Handling errors and exceptions

• Reading and writing to files

Month 5-6: Web Development with Python

1. Week 1-2: Introduction to Web Development

• Overview of web development

• Basics of HTML and CSS

2. Week 3-4: Flask Framework

• Setting up Flask applications

• Creating routes and templates

• Working with forms and databases

3. Week 5-6: Project - Simple Web Application

• Implement a basic web application using Flask

Month 7-8: Data Science and Visualization

1. Week 1-2: NumPy and Pandas

• Introduction to numerical computing

• Data manipulation and analysis with Pandas

2. Week 3-4: Matplotlib and Seaborn

• Data visualization with Matplotlib

• Creating informative plots with Seaborn

3. Week 5-6: Project - Data Analysis and Visualization

• Apply data analysis and visualization skills to a real dataset

Month 9-10: Machine Learning with Python

1. Week 1-2: Introduction to Machine Learning

• Basics of machine learning

• Overview of popular Python libraries (scikit-learn)

2. Week 3-4: Supervised Learning

• Regression and classification

• Model evaluation and validation

3. Week 5-6: Unsupervised Learning

• Clustering and dimensionality reduction

• Introduction to neural networks

Month 11-12: Final Project and Advanced Topics

1. Week 1-2: Final Project Planning

• Define a project based on personal interests or industry needs

2. Week 3-4: Final Project Development

• Work on the final project with guidance and feedback

3. Week 5-6: Advanced Topics

• Choose from advanced topics like testing, optimization, or exploring specialized libraries based on interest

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