Course Overview
Python is the world's most versatile programming language. This course is designed to take beginners to a professional level, focusing on clean code practices, common data science libraries, and building practical applications. You will work on real-world projects, including data analysis and creating a robust web API using Flask or Django.
The training provides a balanced view, preparing students for roles in web development, data analysis, and automation engineering.
Detailed Curriculum
Module 1: Python Fundamentals and Advanced Concepts
- Variables, Loops, Functions, and Data Structures (Lists, Dictionaries)
- Object-Oriented Programming (OOP) in Python
- Error Handling, File I/O, and Generators
Module 2: Data Science Toolkit (Numpy & Pandas)
- Data manipulation and cleaning with Pandas DataFrames
- Numerical computing and vectorization with NumPy
- Basic data visualization (Matplotlib/Seaborn)
Module 3: Web Development with Frameworks
- Introduction to Web Development concepts (HTTP, REST)
- Building APIs with a Micro-framework (e.g., Flask)
- Database integration (SQLite/PostgreSQL) and ORMs
Module 4: Practical Applications and Best Practices
- Automating tasks (file management, scraping)
- Virtual Environments and Package Management (Pipenv/Conda)
- Code testing (PyTest) and Deployment basics