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Programming languages that everyone should learn | George Hotz and Lex Fridman

October 25, 2020
by
Lex Clips
YouTube video player
Programming languages that everyone should learn | George Hotz and Lex Fridman

TL;DR

Learn assembly, C, Python, Haskell, Verilog, and PyTorch to gain a comprehensive understanding of programming across different paradigms.

Transcript

let me let me drag you back to programming for a sec what three maybe three to five programming languages should people learn do you think like if you look at yourself what did you get the most out of from learning uh well so everybody should learn c and assembly we'll start with those two right assembly yeah if you can't code an assembly you don't... Read More

Key Insights

  • 🎅 Assembly and C are crucial for understanding computer architecture and compilation.
  • 😄 Python builds on the foundations of assembly and C, offering ease of use and versatility.
  • ❓ Functional programming languages like Haskell provide theoretical insights and expand programming knowledge.
  • ❓ Learning Verilog or VHDL gives a deeper understanding of hardware processes.

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Questions & Answers

Q: Why should people learn assembly and C?

Learning assembly and C helps you understand computer fundamentals, memory allocation, and the compilation process. It provides a solid foundation for further programming knowledge.

Q: What is the significance of learning functional programming languages like Haskell?

Functional programming languages promote a different programming paradigm and expand your understanding of programming concepts. Haskell is popular in this realm and delves into theoretical aspects of programming.

Q: What can be gained from learning Verilog or VHDL?

Learning Verilog or VHDL provides insights into hardware and how instructions are executed. It helps you comprehend the underlying processes of hardware and its interaction with software.

Q: Why is PyTorch recommended for machine learning programming?

PyTorch is considered the go-to language for machine learning. It offers a distinct programming paradigm and is more widely used than TensorFlow. It is necessary for data-driven programming and working in the AI field.

Summary & Key Takeaways

  • Learn assembly and C to understand the inner workings of a computer and build intuition about compilation.

  • Python offers great advantages and should be learned after mastering assembly and C.

  • Functional programming languages like Haskell and languages with dependent types are important for a well-rounded programming knowledge.

  • Verilog provides insight into hardware and how instructions are executed.

  • Machine learning programming, specifically PyTorch, is essential in the evolving field of AI.


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