The lowest available rating score is 1, but if there were a zero, I would rate this program a zero. There are no pros to this programming course. The lessons are so brief that I cannot understand them. Before I gave up for good on this programming course, I was writing tons of messages to people on Youtube asking them to explain things to me, and I hated the constant hassle of having to write online messages asking for explanations for the simplest of things that the lessons did not explain. This programming course is NOT a do-it-yourself training course by any means --- and it should not be used by schoolteachers as student homework assignments, as I recently advised a 13-year-old who was having trouble with the lessons and nothing was being helpful to him. This training course should be accompanied not by brief and intelligible on-screen lessons, but it should be accompanied by a detailed high school-style textbook complete with images. By the way, I have Asperger's syndrome, I have all kinds of problems with learning and with executing tasks, and I cannot participate in gainful employment in ANY profession for this reason.
Based on our record, NumPy seems to be a lot more popular than Swift Playgrounds. While we know about 119 links to NumPy, we've tracked only 2 mentions of Swift Playgrounds. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> I’m using AI to assist me and I’m building an app Vibe coding is a myth, it will take you only so far and will require manual fixes and refactoring before MVP. Learn the basics of and keep learning, say, Swift. https://developer.apple.com/swift-playground/ > Should I actually use a completely blank iPhone for this instead? Does not make any difference. Every app runs in its own separate environment. Only iOS... - Source: Hacker News / 7 days ago
💡 Want to see real-world examples? Check out Apple's Swift Playground: Swift Playground. - Source: dev.to / about 2 months ago
The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 3 months ago
This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 7 months ago
The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
CodeMonkey - Learn to code. Eat Bananas. Save the World.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
GitHub Codespaces - GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
StackHive - Design, develop or publish websites right from your browser
OpenCV - OpenCV is the world's biggest computer vision library