
Codewars
Codecademy
Exercism
Treehouse
edX
Coursera
Pantheon
Pluralsight
Ollama
LM Studio
LangChain
Jan.ai
Hugging Face
GPT4All
Claude AI
AnythingLLM
Codewars
OllamaCodewars is recommended for beginner to advanced programmers who enjoy learning through practice and are interested in improving their algorithmic thinking and coding skills in a gamified environment. It is particularly beneficial for those preparing for coding interviews or seeking to reinforce their programming knowledge in a fun and interactive way.
Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
Based on our record, Ollama should be more popular than Codewars. It has been mentiond 281 times since March 2021. 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.
Recently, I was working on a coding kata on codewars.com. Early on, I started thinking that a potential solution might utilize recursion, a concept that involves a function calling itself. However, I quickly realized that my grasp of recursion was not as solid as it needed to be for this task. In this post, I will share the insights gained from deepening my understanding of recursion while working through the kata. - Source: dev.to / over 2 years ago
Get more involved. Look into internships and junior SWE positions to get a sample of what you'd be applying for once you graduate. Solve coding challenges, start working on a portfolio of your personal works. I recommend codewars.com for coding challenges, it's fun. Source: over 2 years ago
I'd recommend to play around with some basic coding challenges on leetcode.com or codewars.com. If the course prepared you well you won't find this useful, but playing around with them will make sure that you are comfortable with basics such as loops, if statements etc. Source: almost 3 years ago
I would advise for you to start with Python, it's a beginner-friendly programming language and it'll help with wrapping your mind around things. Play around with it, perhaps do some katas on CodeWars and you'll be set. Source: about 3 years ago
There is a website called codewars.com where you can select problems of varying difficulty for the language you need. It is very helpful for learning. Source: about 3 years ago
To see available tags for any model, check the model page on ollama.com or run ollama show llama3 --modelfile to inspect what you currently have. - Source: dev.to / 3 days ago
Ollama lets you run open source models locally. After installing it, you have a server running at http://localhost:11434. - Source: dev.to / 10 days ago
It began as a small experiment on my base Mac mini. I pulled Qwen through Ollama just to see how capable the model would be running directly on a local machine. The results were far better than I expected. Good enough that I stopped thinking of it as a toy and started thinking about production. - Source: dev.to / 11 days ago
Try out this sample that embeds and loads data into the emulator. It uses LangChain, a popular open-source framework for building AI applications, and Ollama, a tool for running open-source models locally. - Source: dev.to / 15 days ago
A good place to browse is the LocalLLaMa subreddit. [0] A good software to start is LM Studio [1]. Another popular alternative is Ollama [2]. A better software when you're used to it all is llama.cpp as it's usually a bit faster and more frequently updated [3]. A good place to get models is HuggingFace, particularly the Unsloth models [4] Most popular models lately to run on "regular" gaming PC's, workstations,... - Source: Hacker News / 16 days ago
Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, weโve taught over 45 million people using a tested curriculum and an interactive learning environment.
LM Studio - Discover, download, and run local LLMs
Exercism - Download and solve practice problems in over 30 different languages.
LangChain - Framework for building applications with LLMs through composability
Treehouse - Treehouse is an award-winning online platform that teaches people how to code.
Jan.ai - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAIโs GPT-4 or Groq.