Learn X in Y minutes VS NumPy

Learn X in Y minutes Reviews

NumPy Reviews

Learn X in Y minutes mentions (146)

• Scripts should be written using the project main language

  > Sure, maybe for some esoteric edge cases, but 5 mins on https://learnxinyminutes.com/ should get you 80% of the way there, and an afternoon looking at big projects or guidelines/examples should you another 18% of the way. Not for C++, and even for other languages, it's not the language that's hard, it's the idioms. Python written by experts can be well-nigh incomprehensible (you can save typing out... - Source: Hacker News / 22 days ago

• Scripts should be written using the project main language

  > Learning a new language shouldn't be difficult. Programmers are expected to familiarize themselves with new tech. I wish any large company agreed with this. I've worked for a company that on boarded every single new engineer to a very niche language (F#) in a few days. Also, everybody I worked with there was amazing. Probably because of that kind of mindset. Meanwhile google tiptoes around teams adopting kotlin... - Source: Hacker News / 22 days ago

• The Shen Programming Language

  When I want to get a quick feel for a language I've never heard of, I usually look for the Learn X in Y Minutes[0] page for it. Shen doesn't have one. Perhaps the author and/or poster should remedy that? [0] https://learnxinyminutes.com/. - Source: Hacker News / about 1 month ago

• 100+ FREE Resources Every Web Developer Must Try

  Learn x in y minutes: Concise tutorials to learn various programming languages and tools quickly. - Source: dev.to / about 2 months ago

• New GitHub Copilot Research Finds 'Downward Pressure on Code Quality'

  StackOverflow's making their own competing LLM for all this stuff. IMO, one of the biggest problems with the way people use LLMs right now, is that they're being treated as a single oracle: to know Java, it must be trained on examples of Java. It would be much better if their language comprehension abilities were kept separated from their knowledge (and there are development efforts in this direction), so in this... - Source: Hacker News / 3 months ago

NumPy mentions (107)

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 1 month ago

• JSON in data science projects: tips & tricks

  Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 1 month ago

• Introducing Flama for Robust Machine Learning APIs

  Numpy: A library for scientific computing in Python. - Source: dev.to / 4 months ago

• A Comprehensive Guide to NumPy Arrays

  Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago

• Beginning Python: Project Management With PDM

  A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 6 months ago