Python Advanced

Course Overview

Take your Python skills to the next level with our Python Advanced course. This comprehensive program is designed to equip you with advanced techniques and tools, enabling you to handle complex programming challenges and optimize your applications for better performance.

Who is this course for

This course is ideal for experienced Python developers, software engineers, and IT professionals who want to deepen their expertise and tackle advanced programming challenges.

Key Benefits

- Master advanced Python concepts to become a proficient programmer.

- Gain expertise in multithreading, multitasking, and asynchronous programming.

- Learn to optimize and enhance the performance of your Python applications.

- Develop a deep understanding of metaprogramming and advanced Python features.

- Improve your ability to work with networks and handle complex networking tasks.

- Hands-on experience with real-world projects and scenarios to solidify your skills.

- Increase your marketability to employers with specialized Python knowledge.

Learning Objectives

By the end of this course, you'll be able to:

- Implement multithreading and multitasking to enhance application performance.

- Utilize asynchronous programming with Python asyncio.

- Optimize your Python code for better performance and efficiency.

- Apply metaprogramming techniques to write more flexible and dynamic code.

- Develop and manage complex networking tasks with Python.

- Work with APIs and web scraping to extract data from external sources.

- Integrate advanced Python features and libraries into your projects.

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Format

Prerequisites

Course contents

Day 1: Mastering Concurrent and High-Performance Python

Module 1: Python Multithreading

- Introduction to multithreading

- Creating and managing threads

- Synchronizing threads

- Practical applications of multithreading

Module 2: Python Multiprocessing

- Understanding multitasking

- Concurrent execution with multiprocessing

- Managing processes and inter-process communication

- Use cases for multitasking in Python

Module 3: Python Asyncio

- Introduction to asynchronous programming

- Using async and await keywords

- Creating and managing asynchronous tasks

- Asyncio event loop and futures

Module 4: Performance and Optimization

- Profiling and analyzing code performance

- Memory management and optimization

- Leveraging CPython and other tools for speed

- Best practices for writing efficient code

Day 2: Advanced Networking and Web Technologies in Python

Module 5: Python Networking

- Basics of network programming

- Working with sockets

- Building client-server applications

- Handling HTTP requests and responses

Module 6: RESTful APIs

- Understand the principles of `RESTful` APIs

- Handling various authentication methods like API keys and OAuth

- Poking around with `requests` library

- Best practices for API integration

Module 7: Python Web scraping

- Understand the web scraping process and its applications

- Using the Requests library to make HTTP requests

- Parsing HTML with `BeautifulSoup`

- Scraping dynamic websites with `Selenium`

Module 8: Metaprogramming

- Understanding `metaprogramming` concepts

- Using decorators and `metaclasses`

- Dynamic code generation

- Practical applications of `metaprogramming`

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