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Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 13 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 7 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
> 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 / about 1 month ago
> 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 / about 1 month ago
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 2 months ago
Learn x in y minutes: Concise tutorials to learn various programming languages and tools quickly. - Source: dev.to / 2 months ago
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 - NumPy is the fundamental package for scientific computing with Python
Exercism.io - Download and solve practice problems in over 30 different languages.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
SyntaxDB - Easily look up programming syntax for multiple languages
OpenCV - OpenCV is the world's biggest computer vision library
Month to Master - Learn anything in 30 days, with the help of an AI coach