This is the repository for the LinkedIn Learning course Async Python Foundations: Applied Concepts. The full course is available from LinkedIn Learning.
If you were cooking a multicourse meal, would you prep one thing at a time? Put bread in the oven, wait. Warm the soup on the stove, wait. Then the main course. Wouldn’t it be more efficient to spend time prepping other food instead of waiting on tasks that don’t need your immediate attention? In the same way that having multiple things happen at the same time leads to faster meal prep, having multiple things happen in Python—or using an asynchronous approach—can be leveraged to boost application performance and make your Python programs extremely efficient. In this course, Ronnie Sheer gives you the tools to use async Python to solve real-world problems, gain familiarity with the async Python ecosystem, complete challenges with working examples, and become a more attractive candidate for engineering positions. If you’re an experienced Python user looking to take async Python from theory to practice, check out this hands-on course.
- Visit python.org and download Python for your operating system.
- Visit redis.io and download Redis for your operating system.
- Create a virtual environment with the following command:
python3 -m venv venv
- Activate the virtual environment.
- Linux and Mac
source venv/bin/activate- Windows
venv\Scripts\activate
⚠️ If you encounter an error using Windows PowerShell, try opening another shell with the "Run as Administrator" option. - Install the required packages.
pip install -r requirements.txt
-
Navigate to the course directory.
-
Activate the virtual environment.
- Linux and Mac
source venv/bin/activate- Windows
venv\Scripts\activate
⚠️ Make sure that you have set up your environment according to the instructions above.
- Python
python CH_01_04_end.py
- Starting redis(in separate terminal)
redis-server
Ronnie Sheer
Check out my other courses on LinkedIn Learning.