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Notepad++ JupyterI've been using it for a long time, I can say that it has become my main tool in my work. First, you need to get used to using it and look at all the functionality. Overall, it's useful for me!
Jupyter might be a bit more popular than Notepad++. We know about 216 links to it since March 2021 and only 175 links to Notepad++. 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.
Are you transitioning from Windows to Linux but struggling to replace tools like Notepad++ or WinMerge? Thanks to Wine and Bottles, you can now run Windows-only applications natively on Linux. This guide will show you how to install Windows apps on Linux effortlessly, perfect for .NET developers or anyone needing Windows tools in a Linux environment. - Source: dev.to / about 1 month ago
Then we need to modify Cargo.toml file located in your folder that you created with the above command, right click and edit I use notepad++ (to download notepad++ use this link (https://notepad-plus-plus.org/) so you will get the option to edit file directly. - Source: dev.to / 5 months ago
Always working in the js-fundamentals.js file Open the file with any text editor. For now, use Notepad++. - Source: dev.to / 5 months ago
Where to get it: Https://notepad-plus-plus.org/ Plugin: inside Plugin Admin. - Source: dev.to / 6 months ago
This issue was a difficult to research, but I did find a complaint on GitHub. The problem is due to the fact that an "interactive" flag is missing, but I don't believe that this is even a feature within WKHTMLTOPDF (apart from the --enable-forms option). WK also generates a 1.4 versioned PDF. Is the interactive option even available in v1.4 PDFs? The hack to make PDFs compatible with Adobe Acrobat required... - Source: dev.to / 7 months 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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