May 6, 13, 20, 27 12:30 pm - 13:30 pm (GMT+1) Price 49 USD Registration for 4 one-hour sessions
Solid memory-related knowledge is essential for understanding and carrying out diagnostics, root cause analysis, debugging, and performance improvement, rather than merely listing backtraces and watching print statements. Drawing inspiration from earlier Memory Thinking courses and books for C & C++ and Rust, as well as the book Python Debugging for AI, Machine Learning, and Cloud Computing, Memory Thinking for Python surveys memory-related topics across the Python language, its runtime, and OS internals, including topics often omitted or glossed over in other courses and books, to help practitioners reason more deeply about program behavior in both their own and AI-generated code, diagnose problems more effectively, and develop more efficient Python code.
After the training, you get:
- The PDF book version of the training
- Personalized Certificate of Attendance with unique CID
- Answers to questions during training sessions
- Training sessions recording
If payment after registration doesn't work, please use the button below to pay directly, and we will send registration approval within 24 hours: