Asynchronous Python for beginners from Udemy

This course will allow students to explore the principles of Asynchronous programming with Python. By setting a foundation of the problem sets async python can help solve and diving into the frameworks that facilitate this. Your education will be further enhanced by walking through coding exercises and demos that aim to provide sample scenarios.

Instructor:

Emmanuel Apau, an AWS Certified DevOps specialist with 10 years of experience developing innovative automation solutions using DevOps & Site reliability best practices for clients with Python

Topics Covered:

1. Synchronous vs Asynchronous Programming

2. WSGI vs ASGI Applications

3. Monkey Patching

4. The event loop

5. Asyncio

6. Coroutines, Tasks & Futures

7. Websockets

Once this course is complete:

- You will be able to build scalable python web apps that handle thousands of web requests.

- You will be able to implement WebSockets, to build dynamic web applications.

- You will be able to identify blocking code and create solutions for it.

- You will utilize 2-way communication between the client and understand the scenarios when it is necessary.

- You will have a complete understanding of Asyncio and its features

Prerequisites:

- This course expects that you have a basic understanding of python development.

- That is you know how to install dependencies, execute python scripts

- That you are familiar with web development frameworks

What's inside

Syllabus

Introduction

Explanation of the course benefits and why you should take it

Course Outline

Local Configuration

Gain an understanding of how clients and servers interact in Synchronous scenarios

Gain an understanding of how clients and servers interact in Asynchronous scenarios

ASGI, short polling, long polling, and websockets

Asyncio Theory & definitions

Asyncio Coroutine Demo

Asyncio Tasks Demo

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores asynchronous programming, which is essential for building scalable web applications that can handle a high volume of concurrent requests

Requires a basic understanding of Python development, including installing dependencies and executing scripts, which may exclude absolute beginners

Covers WSGI and ASGI applications, which are fundamental concepts for building web applications in Python using both synchronous and asynchronous approaches

Taught by an AWS Certified DevOps specialist with 10 years of experience, which may provide practical insights into building automation solutions with Python

Examines Monkey Patching, which can be useful for modifying the behavior of existing code at runtime, but may introduce complexity and potential instability

Teaches asyncio, coroutines, tasks, and futures, which are core components of Python's asynchronous programming model and enable efficient concurrent execution

Reviews summary

Async python concepts & practical demos

According to students, this course offers a solid foundation in Asynchronous Python, particularly focusing on Asyncio and event loops. Learners appreciate the clear explanations of complex topics and the practical demonstrations which help solidify understanding. While the course covers essential concepts like coroutines, tasks, and WebSockets, some reviewers felt it could benefit from more advanced examples or a deeper dive into real-world applications beyond the basics. Overall, it's considered a valuable starting point for Python developers new to async programming.

Well-suited for those new to async.

"As someone new to asynchronous programming in Python, this course was perfect for getting started."

"Great course if you're a beginner trying to wrap your head around async concepts."

"It breaks down the fundamentals nicely for a beginner level audience."

Provides a strong start with Asyncio.

"This course gave me a really good foundation in using asyncio and understanding its features."

"I now have a solid understanding of asyncio after taking this course."

"It's a great introduction to the asyncio library and how to use it effectively."

Hands-on coding examples are very helpful.

"The coding exercises and demos were invaluable for understanding how async works in practice."

"The demos helped me see how the concepts apply to actual code scenarios."

"I appreciated the hands-on examples, they really reinforced the theory."

Concepts are explained well, easy to grasp.

"The instructor did a great job explaining complex asynchronous concepts in a clear and understandable way."

"I found the explanations around the event loop and coroutines particularly clear."

"The concepts were explained in a way that made it easy to follow, even for someone relatively new to async."

Could use more complex examples or depth.

"While it's great for beginners, I felt it could go into more depth on some advanced topics or patterns."

"Could use more challenging examples or cover performance optimization tips."

"A little more content on integrating async with other libraries or frameworks would be useful."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Asynchronous Python for beginners with these activities:

Review Python Fundamentals

Show steps

Solidify your understanding of core Python concepts to ensure a smooth learning experience in the asynchronous programming course.

Browse courses on Python Basics

Show steps

Review data types, loops, and functions.
Practice writing basic Python scripts.
Complete online Python tutorials.

Review 'Python Cookbook'

Show steps

Explore practical Python recipes to enhance your problem-solving skills and gain insights into efficient coding techniques.

View Python Cookbook: Recipes for Mastering Python 3 on Amazon

Show steps

Browse the table of contents for relevant topics.
Read through recipes related to concurrency and networking.
Experiment with the code examples provided.

Asyncio Code Katas

Show steps

Reinforce your understanding of Asyncio by completing a series of coding challenges that test your ability to apply asynchronous programming concepts.

Show steps

Find online resources with Asyncio coding challenges.
Solve each challenge by writing asynchronous code.
Test your solutions thoroughly.

Four other activities

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Show all seven activities

Create a Blog Post on Asyncio

Show steps

Solidify your understanding of Asyncio by writing a blog post explaining its core concepts and benefits.

Show steps

Research Asyncio and its key features.
Outline the structure of your blog post.
Write clear and concise explanations with examples.
Publish your blog post online.

Build a Simple Asynchronous Web Server

Show steps

Apply your knowledge of asynchronous programming by building a basic web server that can handle multiple requests concurrently.

Show steps

Set up a basic HTTP server using asyncio.
Implement asynchronous request handling.
Test the server with multiple concurrent clients.

Review 'Concurrency with Modern Python'

Show steps

Deepen your understanding of concurrency and parallelism in Python, including Asyncio, by studying this comprehensive guide.

View Putting Knowledge to Work on Amazon

Show steps

Read the chapters on Asyncio and related concurrency models.
Study the code examples and experiment with them.
Compare and contrast Asyncio with other concurrency techniques.

Contribute to an Asyncio Project

Show steps

Gain practical experience with Asyncio by contributing to an open-source project that utilizes asynchronous programming.

Show steps

Find an open-source project that uses Asyncio.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Asynchronous Python for beginners will develop knowledge and skills that may be useful to these careers:

Backend Developer

A backend developer focuses on the server side logic and databases that power web applications. This course helps backend developers build scalable Python web applications capable of handling thousands of web requests. The course's deep dive into asynchronous programming with Python, including topics like WSGI versus ASGI applications and Asyncio, provides the skills needed to optimize backend performance and responsiveness. By studying the implementation of WebSockets, dynamic web applications will come easily. For backend developers seeking to enhance their Python skills and build more efficient and scalable applications, this course is an excellent choice.

See salaries and explore the career path for Backend Developer

API Developer

API developers design and build application programming interfaces. This course helps API developers who work with Python to build robust and scalable APIs. The course's coverage of asynchronous programming, including topics like Asyncio and coroutines, is directly applicable to improving API performance. The ability to handle thousands of web requests, a key outcome of the course, is essential for building high-traffic APIs. For API developers seeking to enhance their Python skills and optimize API performance, this course is a recommended choice.

See salaries and explore the career path for API Developer

Software Engineer

Software engineers design, develop, and test software applications. This course helps software engineers specialize in Python-based asynchronous programming. The course covers essential concepts such as Monkey Patching, the event loop, and Asyncio, which help software engineers write efficient and scalable code. The ability to implement WebSockets, covered in this course, allows engineers to build real-time applications. For software engineers focused on Python development and seeking to improve their skills in building high-performance applications, this course is a valuable resource.

See salaries and explore the career path for Software Engineer

Full-Stack Developer

Full stack developers need to be familiar with both front end and back end technologies in web development. This course can help full stack developers who utilize Python on the back end to create scalable web applications. The course covers asynchronous programming with Python, including modules like Asyncio, which are essential for improving back end performance. The course's focus on building applications that handle thousands of web requests helps developers create robust systems. For full stack developers seeking to become more proficient in Python-based back end development, this course is an excellent choice.

See salaries and explore the career path for Full-Stack Developer

Application Developer

Application developers create software applications for various platforms. This course helps application developers specializing in Python build more efficient and responsive applications. The course covers asynchronous programming concepts such as Asyncio and coroutines, which can significantly improve application performance. The ability to build applications that handle thousands of web requests, as taught in the course, is a key skill for modern application development. For application developers seeking to enhance their Python skills and create high-performance applications, this course offers valuable knowledge.

See salaries and explore the career path for Application Developer

Cloud Engineer

Cloud engineers manage and maintain cloud infrastructure. This course helps cloud engineers who use Python to automate tasks and build scalable applications in the cloud. The course covers asynchronous programming concepts such as Asyncio, which are critical for building efficient cloud-based applications. The ability to handle thousands of web requests helps cloud engineers design robust systems. For cloud engineers seeking to enhance their Python skills and improve their cloud automation capabilities, this course is a beneficial investment.

See salaries and explore the career path for Cloud Engineer

DevOps Engineer

DevOps engineers automate and streamline the software development lifecycle. This course helps DevOps engineers who use Python achieve greater automation and efficiency. The course content on asynchronous programming, including Asyncio and the event loop, provides the foundation for building robust automation tools. The course's focus on building scalable Python web applications helps DevOps engineers design and deploy high-performance systems. This is especially true of automation solutions. For DevOps engineers seeking to enhance their Python skills and improve their automation capabilities, this course offers a solid foundation.

See salaries and explore the career path for DevOps Engineer

Software Architect

Software architects are responsible for high-level design choices and frameworks. This course helps software architects develop efficient and scalable Python-based systems. The course's exploration of asynchronous programming, including topics like WSGI versus ASGI applications and Asyncio, provides the knowledge needed to design high-performance applications. The ability to implement WebSockets, a subject covered in the course, allows architects to create dynamic and real-time software solutions. For software architects looking to deepen their expertise in Python and optimize application performance, this course is a valuable resource.

See salaries and explore the career path for Software Architect

Solutions Architect

Solutions architects design and implement complex IT solutions. This course helps solutions architects understand Python's asynchronous programming capabilities. The course provides knowledge on building scalable Python web applications and implementing WebSockets, which are essential for modern IT infrastructure and architecture. The course's exploration of topics like WSGI versus ASGI applications and Asyncio allows architects to design high-performance systems. For solutions architects seeking to broaden their expertise in Python-based solutions, this course is a valuable resource.

See salaries and explore the career path for Solutions Architect

Automation Engineer

Automation engineers design and implement automated systems and processes. This course helps automation engineers who use Python to build more efficient automation scripts and tools. The course covers asynchronous programming concepts such as Asyncio, which can significantly improve the performance of automation tasks. The ability to identify and address blocking code, as taught in the course, is crucial for building reliable automation systems. For automation engineers seeking to enhance their Python skills, this course offers practical knowledge.

See salaries and explore the career path for Automation Engineer

Test Automation Engineer

Test automation engineers design and implement automated tests for software applications. This course may be useful to test automation engineers who use Python to create automated test suites. While the course primarily focuses on web applications, the principles of asynchronous programming and handling concurrent operations can be applied to improve the efficiency of test automation frameworks. The skills learned, such as using Asyncio, can help engineers build more responsive and scalable test systems. For test automation engineers looking to enhance their Python skills, this course may be a beneficial addition. It may also allow them to better understand the code that is being tested.

See salaries and explore the career path for Test Automation Engineer

Web Developer

Web developers create and maintain websites and web applications. This course may be useful to web developers looking to enhance their skills in Python-based web development. The course covers topics such as WSGI and ASGI applications, which are essential for building modern web applications. The practical coding exercises and demos in the course help web developers gain hands-on experience with asynchronous programming concepts. Through course completion, learners can expect to build scalable web apps. For web developers keen on expanding their proficiency in Python and building dynamic and responsive web experiences, this course may be a good starting point.

See salaries and explore the career path for Web Developer

Data Engineer

Data engineers design, build, and maintain data pipelines and systems. While this course focuses on asynchronous Python in a web context, data engineers may find it useful for optimizing data processing tasks. The skills learned, such as using Asyncio to handle concurrent operations, can be applied to improve the efficiency of data ingestion and transformation processes. The course's focus on identifying and addressing blocking code can help data engineers build more responsive and scalable data pipelines. For data engineers looking to expand their Python skills, this course may offer valuable insights.

See salaries and explore the career path for Data Engineer

System Architect

System architects design and oversee the implementation of complex computer systems. By taking this course, system architects may gain knowledge on asynchronous programming with Python. Understanding how to build scalable Python web applications that handle thousands of web requests is helpful in designing efficient systems. The course's exploration of topics like WSGI versus ASGI Applications and Asyncio may be useful to system architects. For system architects seeking to broaden their knowledge base, this course may be a beneficial addition.

See salaries and explore the career path for System Architect

Machine Learning Engineer

Machine learning engineers develop and deploy machine learning models. This course may be useful to machine learning engineers who use Python for model serving and building scalable data pipelines. This is because it will allow them to create scalable python web apps that handle thousands of web requests. For machine learning engineers looking to expand their Python skills, this course may offer valuable insights. It will also allow them to implement WebSockets, to build dynamic web applications.

See salaries and explore the career path for Machine Learning Engineer

Asynchronous Python for beginners

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What's inside

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Reviews summary

Async python concepts & practical demos

Activities

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