The use of neural networks and Python can make coding more accessible to creatives who want to use tools like Photoshop and Premiere without having to refer to manuals or do Google searches. Python and Circuit Python could become the means through which people use computers as a seamless extension of their curiosity and creativity.
This podcast discusses the history and nature of the Lisp programming language, its compatibility with reasoning and theorem proving, and its relevance to hiring programmers interested in automated theorem proving.
The speaker discusses the pros and cons of using Python and Perl for data science and programming and shares their thoughts on the future of programming in the computational fields of data science and machine learning.
The host asks his guest, an AI researcher, about the possibility of intelligent life having computers and programming languages and if they would be similar to ours.
The ability to produce elegant code in high-level programming languages is correlated with being a clear thinker and writer. Writing clear and easy-to-digest code is important as modern information systems continue to grow in complexity.