What you’ll learn
- Understand and implement parallel computing concepts using Dask in Python
- Work with large datasets using Dask DataFrames for scalable data manipulation
- Perform advanced numerical computations using Dask Arrays and lazy evaluation
- Build and optimize machine learning workflows with Dask-ML and joblib integration
- Use Dask schedulers effectively for performance tuning and distributed computing
- Profile performance, handle memory spilling, and apply best practices with Dask
- Practice with real-world datasets like flight delays to build scalable ML models
How to Enroll Mastering Dask: Scale Python Workflows Like a Pro course?
How many members can access this course with a coupon?
Mastering Dask: Scale Python Workflows Like a Pro Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!