Practical Python Guide

Description

This course combines theoretical foundations and practical tasks, allowing students to immediately apply the knowledge they have gained.

1. Introduction to Python

• Setting up Python environment
• Writing your first Python script
• Understanding the Python interpreter and basic syntax

2. Variables and Data Types

• Working with variables and constants
• Common data types: strings, integers, floats, booleans
• Type casting and type conversion

3. Control Flow

• Conditional statements: if, elif, else
• Looping structures: for, while
• Comprehensions (list, dictionary, set)

4. Functions and Modules

• Defining and calling functions
• Function arguments and return values
• Using and creating modules and libraries

5. Error Handling and Debugging

• Understanding exceptions and errors
• Using try, except, finally
• Debugging with print statements and debuggers

6. Working with Files and Directories

• Reading and writing files (text and binary)
• File operations: opening, closing, deleting
• Working with directories

7. Object-Oriented Programming (OOP) Basics

• Classes and objects
• Methods, constructors, and destructors
• Inheritance and polymorphism

8. Libraries and Frameworks

• Introduction to popular Python libraries: NumPy, Pandas, Requests
• Working with APIs (making requests, parsing JSON)
• Basic web scraping with BeautifulSoup

9. Building a Simple Project

• Developing a small Python application (e.g., a to-do list app, web scraper, or simple API)
• Structure of Python projects
• Testing and deploying your project

10. Next Steps

• Further learning paths: web development with Django/Flask, machine learning with TensorFlow, etc.
• Resources for continued practice (coding challenges, open-source projects, etc.)