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Unlock the Full Potential of Asynchronous Programming in Python!
Welcome to “Mastering AsyncIO in Python,” the comprehensive guide to mastering asynchronous programming to elevate your Python projects. Asynchronous programming is a powerful paradigm that allows your applications to be more efficient, scalable, and responsive. This course is designed to take you from the basics of AsyncIO, through to advanced techniques and real-world applications, providing you with the knowledge and skills to leverage the full potential of Python’s asynchronous programming capabilities.
What You Will Learn:
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Foundational Concepts: Understand the principles of asynchronous programming and how it compares to traditional synchronous and multithreaded approaches.
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Event Loop Mastery: Dive deep into the event loop, the core of AsyncIO, learning how to write, run, and manage asynchronous code efficiently.
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Async/Await Syntax: Get hands-on experience with the async/await syntax, the modern way to write asynchronous code in Python.
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Concurrency Techniques: Explore how to manage multiple tasks and operations concurrently, optimizing your applications for performance and speed.
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Real-World Applications: Apply your knowledge to build practical, real-world applications, including networked programs, database integrations, and web scraping tools.
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Debugging and Optimization: Learn how to debug and profile asynchronous Python applications, identifying bottlenecks and optimizing performance.
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Production Best Practices: Discover best practices for writing maintainable and scalable asynchronous code that’s ready for production.
Who Is This Course For?
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Python Developers: Programmers with a basic understanding of Python looking to explore the advanced capabilities of asynchronous programming.
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Software Engineers: Professionals aiming to build high-performance and scalable applications with Python.
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Data Scientists: Individuals interested in leveraging concurrency for efficient data processing and analysis.
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Backend Developers: Engineers focusing on server-side development who want to master AsyncIO for web applications.
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Tech Enthusiasts: Anyone curious about modern programming techniques and looking to stay ahead in the fast-evolving world of Python programming.
Course Prerequisites:
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Basic knowledge of Python programming.
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Understanding of core programming concepts such as loops and functions.
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An environment for writing and executing Python code.
Why Choose This Course?
“Mastering AsyncIO in Python” is meticulously crafted with a blend of theoretical knowledge, practical exercises, and real-world examples, ensuring you gain a holistic understanding of asynchronous programming. By the end of this course, you’ll be proficient in writing efficient, non-blocking Python code that can handle multiple I/O-bound tasks concurrently, making your applications faster and more responsive.
Embark on this journey to become an AsyncIO expert and transform how you write Python applications. Enroll now and unlock the asynchronous power of Python!
Python Programming Foundations
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1Introduction and Course Overview
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2Installing Python and Setting Up Your Environment
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3create VENV
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4How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article
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5How to Install Python 3 and Use Virtual Environments (venv) on linux- Article
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6How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article
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7Installing Pycharm - Article
Introduction to Asynchronous Programming
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8Functions in Python: Definition and Usage
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9Functions in Python: Definition and Usage - QUIZ
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10Functions in Python: Definition and Usage - Code Exercise
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11Modules and Packages: Organizing Code
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12Modules and Packages: Organizing Code - QUIZ
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13Modules and Packages: Organizing Code - Coding Exercise
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14Understanding Python Classes and Objects
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15Understanding Python Classes and Objects - QUIZ
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16Understanding Python Classes and Objects - Coding Exercise
AsyncIO Fundamentals
Working with AsyncIO
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23Async/Await Syntax - Presentation
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24Writing and Running Simple Coroutines - Code
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25Running Async Code - Presentation
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26Managing and Executing Multiple Coroutines - Code
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27Task Management - Presentation
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28Creating and Managing AsyncIO Tasks - Code
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29Understanding Async/Await and Task Management
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30AsyncIO Fundamentals - Code Exercise
Advanced Topics in AsyncIO
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31AsyncIO for Network Programming - Presentation
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32Building an Asynchronous Client-Server Application - Code
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33AsyncIO with Databases - Presentation
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34Performing Asynchronous Database Operations - Code
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35Integrating AsyncIO with Synchronous Code - Presentation
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36Mixing Async and Sync Code Safely - Code
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37Practical Applications of AsyncIO
Real-world Projects with AsyncIO
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38Exploring AsyncIO's Internal Mechanisms - Code
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39Testing AsyncIO Applications - Presentation
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40Writing Tests for AsyncIO Applications - Code
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41Performance and Debugging - Presentation
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42Profiling and Debugging AsyncIO Applications - Code
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43Extra Content - Creating Logger class using logging library - Code
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44Advanced AsyncIO Concepts
Course Conclusion and Next Steps
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45Building a Web Scraper with AsyncIO and aiohttp - Presentation
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46Implementing an Asynchronous Web Scraper - Code
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47Developing an Asynchronous Chat Application - Code
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48AsyncIO with Modern Web Frameworks - Presentation
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49Using AsyncIO with FastAPI for Web Development - Code
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50Implementing Real-world Projects
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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