Overview
Python for Beginners & Beyond: Learn to Code with Real-World Projects
Syllabus
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- Introduction to Python Programming
-- Overview of Python and its applications
-- Setting up Python and necessary tools
-- Writing and running your first Python program
- Basic Python Syntax
-- Variables and data types
-- Basic operators and expressions
-- Input and output functions
- Control Structures
-- Conditional statements (if, elif, else)
-- Looping structures (for, while)
-- Break and continue statements
- Functions
-- Defining and calling functions
-- Function arguments and return values
-- Lambda functions and higher-order functions
- Data Structures
-- Lists, tuples, and sets
-- Dictionary operations
-- List comprehensions
- Error and Exception Handling
-- Understanding exceptions
-- Try, except, finally blocks
-- Custom exception handling
- Modules and Packages
-- Importing and using standard libraries
-- Creating custom modules
-- Installing and managing third-party packages
- File Handling
-- Reading from and writing to files
-- Working with file paths
-- JSON and CSV file handling
- Object-Oriented Programming
-- Classes and objects
-- Inheritance and polymorphism
-- Encapsulation and abstraction
- Advanced Python Features
-- Decorators and generators
-- Context managers
-- String manipulation and regular expressions
- Working with Data
-- NumPy for numerical operations
-- Pandas for data manipulation
-- Matplotlib for data visualization
- Real-World Projects
-- Project 1: Data Analysis with Pandas
-- Project 2: Web Scraping with BeautifulSoup
-- Project 3: Building a Simple Web Application using Flask
-- Project 4: Creating a Machine Learning Model with Scikit-learn
- Course Wrap-up
-- Review of key concepts
-- Best practices for Python programming
-- Next steps in your Python journey
Taught by
Tags
On-Demand
