Python Programming with Libraries - Comprehensive Syllabus
Module 1: Introduction to Python
- Overview of Python
- Installing Python and Setting up Development Environment
- Basic Syntax and Variables
- Data Types and Operators
- Control Structures (Loops, Conditionals)
Module 2: Functions and Modules
- Functions and Scope
- Built-in Functions and Libraries
- Creating Custom Functions
- Importing and Using Modules
Module 3: Data Structures in Python
- Lists, Tuples, and Dictionaries
- Sets and Frozensets
- Strings and String Manipulation
- Working with Files (Reading and Writing)
Module 4: Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance, Encapsulation, and Polymorphism
- Abstraction and Interfaces
- Exception Handling and Error Management
Module 5: Advanced Python Concepts
- Decorators and Generators
- Context Managers (with Statement)
- Multi-threading and Multiprocessing
- Regular Expressions (Regex)
Module 6: Web Scraping with Python
- Introduction to Web Scraping
- Using BeautifulSoup for HTML Parsing
- Scraping Data from Websites
- Handling Forms and Sessions
Module 7: Data Analysis and Visualization
- NumPy for Numerical Computing
- Pandas for Data Manipulation
- Data Cleaning and Preprocessing
- Data Visualization with Matplotlib and Seaborn
Module 8: Database Interaction
- Connecting to Databases (SQLite, MySQL, or PostgreSQL)
- Executing SQL Queries from Python
- Data Retrieval and Manipulation
Module 9: Introduction to Django (Optional)
- Setting up a Django Project
- Creating Models, Views, and Templates
- Building a Basic Web Application
Module 12: Data Science Libraries
- Introduction to SciPy and Scikit-Image for Scientific Computing
- Using Statsmodels for Statistical Analysis
- Introduction to TensorFlow and Keras for Deep Learning
Module 13: Final Projects and Capstone
- Building Data Analysis or Machine Learning Projects
- Preparing for Technical Interviews
- Resume Building and Job Placement Assistance