Based on our record, Jupyter seems to be a lot more popular than Lambda School. While we know about 216 links to Jupyter, we've tracked only 19 mentions of Lambda School. 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.
Https://lambdaschool.com/ - a remote-first bootcamp that has a unique way of paying. No upfront cost, but they take a % of your salary when you get a job for the first two years until you pay their full cost. Worth reading up on some of the criticism of them before signing up, though. Source: over 3 years ago
Https://lambdaschool.com/ (these guys offer a free intro, might be good to test out and see if their style is to your liking.). Source: over 3 years ago
While you don't need a boot camp, I highly recommend Lambda School (https://lambdaschool.com). They charge nothing upfront and you only pay them back (17% up to $30k) when you get a high paying job. They have great partnerships with employers and help place students so that's the biggest reason I recommend them. Source: over 3 years ago
Have you considered https://lambdaschool.com/? You don't pay for tuition upfront, and they place you with a paid internship after, and if you get a job you start paying a small part of your salary to them for two years. Source: over 3 years ago
Would you consider going through a school with an Income Share Agreement where you pay no tuition up front but pay it as part of your well paying job later? Eg https://lambdaschool.com. Source: over 3 years ago
Showcase and share: Easily embed UIs in Jupyter Notebook, Google Colab or share them on Hugging Face using a public link. - Source: dev.to / about 2 months ago
LangChain wasn’t designed in isolation — it was built in the data pipeline world, where every data engineer’s tool of choice was Jupyter Notebooks. Jupyter was an innovative tool, making pipeline programming easy to experiment with, iterate on, and debug. It was a perfect fit for machine learning workflows, where you preprocess data, train models, analyze outputs, and fine-tune parameters — all in a structured,... - Source: dev.to / 3 months ago
Leverage versatile resources to prototype and refine your ideas, such as Jupyter Notebooks for rapid iterations, Google Colabs for cloud-based experimentation, OpenAI’s API Playground for testing and fine-tuning prompts, and Anthropic's Prompt Engineering Library for inspiration and guidance on advanced prompting techniques. For frontend experimentation, tools like v0 are invaluable, providing a seamless way to... - Source: dev.to / 4 months ago
Lately I've been working on Langgraph4J which is a Java implementation of the more famous Langgraph.js which is a Javascript library used to create agent and multi-agent workflows by Langchain. Interesting note is that [Langchain.js] uses Javascript Jupyter notebooks powered by a DENO Jupiter Kernel to implement and document How-Tos. So, I faced a dilemma on how to use (or possibly simulate) the same approach in... - Source: dev.to / 8 months ago
One of the most convenient ways to play with datasets is to utilize Jupyter. If you are not familiar with this tool, do not worry. I will show how to use it to solve our problem. For local experiments, I like to use DataSpell by JetBrains, but there are services available online and for free. One of the most well-known services among data scientists is Kaggle. However, their notebooks don't allow you to make... - Source: dev.to / 11 months ago
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