Chapter
Advantages and Disadvantages of Python for High-Performance Computing
The episode discusses the use cases and limitations for writing high-performance computing in Python and the potential benefits of investing in education instead of allocating resources to other endeavors like military actions.
Clips
The allocation of funds towards the education system and rewarding young minds for their innovative scientific journey could have a powerful impact on society; investing in programmers that build tools could also have vast implications.
1:59:22 - 2:01:39 (02:16)
Summary
The allocation of funds towards the education system and rewarding young minds for their innovative scientific journey could have a powerful impact on society; investing in programmers that build tools could also have vast implications.
ChapterAdvantages and Disadvantages of Python for High-Performance Computing
Episode#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming
PodcastLex Fridman Podcast
Collaboration between major power centers like United States, Russia, and China can prevent major military cyber conflicts.
2:01:39 - 2:02:59 (01:20)
Summary
Collaboration between major power centers like United States, Russia, and China can prevent major military cyber conflicts. There is a philosophical hope that nations that code together don't go to war together.
ChapterAdvantages and Disadvantages of Python for High-Performance Computing
Episode#224 – Travis Oliphant: NumPy, SciPy, Anaconda, Python & Scientific Programming
PodcastLex Fridman Podcast
The speaker discusses the limitations of vectorizing code and introduces Numba, a tool that allows users to write Python functions and compile them to native machine code for significant performance improvements.
2:02:59 - 2:04:47 (01:48)
Summary
The speaker discusses the limitations of vectorizing code and introduces Numba, a tool that allows users to write Python functions and compile them to native machine code for significant performance improvements.