Introduction to Python
Overview of Python
- What is Python?
- History and Evolution of Python
- Python's Features and Benefits
- Setting Up the Python Environment
Getting Started with Python
- Installing Python (Windows, Mac, Linux)
- Introduction to Python IDLE and IDEs (PyCharm, VS Code, Jupyter Notebook)
- Writing and Running Python Scripts
- Understanding the Python Interpreter
Basic Python Concepts
Python Syntax and Semantics
- Basic Syntax and Indentation
- Variables and Data Types
- Comments and Documentation
- Input and Output
Control Structures
- Conditional Statements (if, elif, else)
- Looping Constructs (for, while)
- Break, Continue, and Pass Statements
- List Comprehensions
Functions and Modules
- Defining Functions
- Function Arguments and Return Values
- Lambda Functions
- Importing Modules and Using Standard Libraries
Data Structures
- Lists
- Tuples
- Sets
- Dictionaries
- String Manipulation
Intermediate Python Concepts
File Handling
- Reading and Writing Files
- Working with File Paths
- Handling Exceptions in File Operations
- Using
with
Statement for File Operations
Error and Exception Handling
- Introduction to Exceptions
- Try, Except, Else, Finally
- Custom Exception Classes
- Debugging Techniques
Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Magic Methods and Operator Overloading
Modules and Packages
- Creating and Using Modules
- Organizing Code with Packages
- The Python Standard Library
- Third-Party Packages and
pip
Advanced Python Concepts
Iterators and Generators
- Understanding Iterators
- Creating and Using Generators
- Generator Expressions
- Using
yield
Statement
Decorators and Context Managers
- Understanding Decorators
- Writing Custom Decorators
- Using
@staticmethod
and@classmethod
- Creating and Using Context Managers
Concurrency and Parallelism
- Introduction to Concurrency
- Using Threads in Python
- Using Multiprocessing in Python
- Asyncio for Asynchronous Programming
Working with Data
- Introduction to NumPy
- Introduction to Pandas
- Data Visualization with Matplotlib and Seaborn
- Reading and Writing Data with Pandas
Python in Practice
Web Development
- Introduction to Flask
- Introduction to Django
- Building REST APIs with Flask and Django
- Web Scraping with BeautifulSoup and Scrapy
Database Interaction
- Working with SQLite
- Using SQLAlchemy for ORM
- Introduction to NoSQL Databases (MongoDB with PyMongo)
- Integrating Databases with Web Applications
Testing and Debugging
- Writing Unit Tests with
unittest
- Using
pytest
for Testing - Debugging with
pdb
- Best Practices for Testing Code
- Writing Unit Tests with
Networking
- Working with Sockets
- Building Client-Server Applications
- Using HTTP Requests with
requests
- Introduction to WebSockets
Advanced Topics
Machine Learning and Data Science
- Introduction to Machine Learning
- Using Scikit-Learn for Machine Learning
- Basic Concepts of Deep Learning with TensorFlow and Keras
- Data Analysis and Visualization Projects
Automation and Scripting
- Automating Tasks with Python
- Working with Excel Files using
openpyxl
andpandas
- Automating Web Interactions with Selenium
- Writing System Scripts
GUI Development
- Introduction to Tkinter
- Building Desktop Applications
- Advanced GUI Frameworks (PyQt, Kivy)
Final Projects and Best Practices
Capstone Project
- Building a Complete Application
- Implementing Advanced Features
- Ensuring Performance, Security, and Scalability
Best Practices
- Writing Clean and Maintainable Code
- Effective Use of Git and Version Control
- Documentation and Code Comments
- Code Review Practices
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