Module 1: Python Basics

  • Introduction to Python: history, installation, IDEs (VS Code, PyCharm, Jupyter)
  • Syntax fundamentals: variables, data types, operators
  • Control flow: conditionals (if/else), loops (for, while)
  • Functions: defining, parameters, return values

Module 2: Data Structures

  • Lists, tuples, sets, dictionaries
  • String manipulation
  • Nested structures and comprehension techniques
  • Practical exercises: building a contact book, word counter

Module 3: Working with Libraries

  • Standard libraries: math, datetime, os, random
  • File handling: reading/writing text, CSV, JSON
  • Virtual environments and package management (pip, venv)
  • Hands-on: parsing data files, automating simple tasks

Module 4: Object-Oriented Programming (OOP)

  • Classes and objects
  • Inheritance, polymorphism, encapsulation
  • Special methods (__init__, __str__, __repr__)
  • Project: building a simple banking system or inventory manager

Module 5: Intermediate Concepts

  • Error handling with try/except
  • Modules and packages
  • Decorators and generators
  • Practical: creating reusable utility modules

Module 6: Data Science and AI with Python

  • Libraries: NumPy, Pandas, Matplotlib, Seaborn
  • Machine learning basics with Scikit-learn
  • Introduction to deep learning with TensorFlow or PyTorch
  • Project: predictive analytics on a dataset

Module 7: Web Development and APIs

  • Web frameworks: Flask, Django basics
  • REST APIs: requests, JSON handling
  • Building a simple web app with Flask
  • Project: weather dashboard or blog platform

Module 8: Automation and Scripting

  • Automating tasks with Python scripts
  • Web scraping with BeautifulSoup and Selenium
  • Task scheduling and workflow automation
  • Project: automated report generator

Module 9: Advanced Topics

  • Concurrency: threading, multiprocessing, async programming
  • Testing: unit tests with unittest or pytest
  • Packaging and distribution of Python projects
  • Security and best practices

Module 10: Capstone Project

  • Choose a domain: data science, web app, automation, AI agent
  • Build a full project from scratch
  • Document and present the solution
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