Chapter
The History and Importance of TensorFlow in the Data Science Community
2:42:19 - 2:50:53 (08:34)
This podcast episode explores the history and importance of TensorFlow and other packages like PyTorch, NumPy, and Matplotlib in the data science community. The speaker highlights how these libraries help data scientists to manipulate data more efficiently and provide useful visualizations.
Clips
Paul Dubois recognized in the mid-90s that scientists needed a higher level language to tie together fundamental mathematical algorithms for scientific computing, which led to the development of packages like PyTorch, TensorFlow, and NumPy.
2:42:19 - 2:48:23 (06:03)
Scientific Computing
Summary
Paul Dubois recognized in the mid-90s that scientists needed a higher level language to tie together fundamental mathematical algorithms for scientific computing, which led to the development of packages like PyTorch, TensorFlow, and NumPy.
ChapterThe History and Importance of TensorFlow in the Data Science Community
Episode#341 – Guido van Rossum: Python and the Future of Programming
PodcastLex Fridman Podcast
The success and widespread adoption of programming languages, like Python and TensorFlow, is heavily influenced by the strength of their respective communities and the support they provide to developers and users.
2:48:23 - 2:50:53 (02:30)
Python, TensorFlow, Community Support
Summary
The success and widespread adoption of programming languages, like Python and TensorFlow, is heavily influenced by the strength of their respective communities and the support they provide to developers and users.