Unlock the full potential of Python with this comprehensive guide, spanning 227 pages and 50 chapters. From advanced techniques like metaprogramming and concurrency to practical tips for optimizing code performance, this book is designed for developers ready to go beyond the basics. Perfect for automating tasks, building efficient applications, and mastering Python for real-world use. Whether you're a developer, data scientist, or system administrator, this guide will help you refine your skills and take your projects to the next level.
Chapters:
Introduction to Python
Variables and Data Types
Basic Operators and Expressions
Conditional Statements (if-elif-else)
Loops (for and while)
Functions and Modules
Lists, Tuples, and Dictionaries
Sets and List Operations
File Handling
Exception Handling
Object-Oriented Programming (OOP) in Python
Classes and Objects
Inheritance and Polymorphism
Decorators and Generators
Lambda Functions and Map, Filter, Reduce
Advanced Data Structures
Modules and Packages
The Python Standard Library
Reading and Writing Data (CSV, JSON, XML)
Database Operations (SQLite and SQL)
API Integration and Web Requests (Requests Library)
External Libraries and Package Management (pip and virtualenv)
Multithreading and Multiprocessing
Scheduling and Time Operations (datetime and time)
Regular Expressions (Regex)
Network Programming with Python (sockets and HTTP Libraries)
and much more