Short link: http://bit.ly/2H2rKjp
- Learn to use GDB/LLDB when you need it
- Practice basic commands
- Drills / Wax on, wax off.
- We stay high level
| #!/usr/bin/env bash | |
| # memusg -- Measure memory usage of processes | |
| # Usage: memusg COMMAND [ARGS]... | |
| # | |
| # Author: Jaeho Shin <netj@sparcs.org> | |
| # Created: 2010-08-16 | |
| ############################################################################ | |
| # Copyright 2010 Jaeho Shin. # | |
| # # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); # |
Short link: http://bit.ly/2H2rKjp
| #!/usr/bin/env python | |
| ''' | |
| Create an indexed tabix file from a Pandas dataframe | |
| via "pure" Python (i.e., no subprocess) | |
| ''' | |
| import os | |
| import io | |
| import pandas as pd |
In the Generative AI Age your ability to generate prompts is your ability to generate results.
Claude 3.5 Sonnet and o1 series models are recommended for meta prompting.
Replace {{user-input}} with your own input to generate prompts.
Use mp_*.txt as example user-inputs to see how to generate high quality prompts.