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  • TabFS

    Going through the files inside a tab's folder. For example, the url.txt, text.txt, and title.txt files tell me those live properties of this tab (Read more up-to-date documentation for all of TabFS's files here.) This gives you a ton of power, because now you can apply all the existing tools on your computer that already know how to deal with files -- terminal commands, scripting languages, point-

      TabFS
    • Rustでグラフをplotするライブラリのまとめ - Stimulator

      - はじめに - Rustでグラフを描画したいと思った時に調べたクレートとその実装、機能のまとめた時のメモ。 現状はplottersを使っておけば間違いなさそうだが、目的によっては機能で選択する場合もありそう。 - はじめに - - 前提知識 - - グラフ描画クレートざっくりまとめ - plotters plotly plotlib poloto rustplotlib RustGnuplot preexplorer vega_lite_4.rs dataplotlib chord_rs - アスキーアート系のクレート - - 記事外で参考になりそうな記事 - - おわりに - - 前提知識 - グラフの描画までの機能としては、matplotlibのようにaxisやviewを構造体として持っているライブラリもあれば、受け取った配列をそのままgnuplotのスクリプトに変換するライブラリも

        Rustでグラフをplotするライブラリのまとめ - Stimulator
      • Python open source libraries for scaling time series forecasting solutions

        By Francesca Lazzeri. This article is an extract from the book Machine Learning for Time Series Forecasting with Python, also by Lazzeri, published by Wiley. In the first and second articles in this series, I showed how to perform feature engineering on time series data with Python and how to automate the Machine Learning lifecycle for time series forecasting. In this third and concluding article,

          Python open source libraries for scaling time series forecasting solutions
        • leafmap

          Home Home Book Installation Get Started Usage Web App Tutorials Contributing FAQ Changelog YouTube Channel Report Issues API Reference Workshops Notebooks Welcome to leafmap¶ A Python package for geospatial analysis and interactive mapping in a Jupyter environment. GitHub repo: https://github.com/opengeos/leafmap Documentation: https://leafmap.org PyPI: https://pypi.org/project/leafmap Conda-forge

          • Why We Use Julia, 10 Years Later

            Exactly ten years ago today, we published "Why We Created Julia", introducing the Julia project to the world. At this point, we have moved well past the ambitious goals set out in the original blog post. Julia is now used by hundreds of thousands of people. It is taught at hundreds of universities and entire companies are being formed that build their software stacks on Julia. From personalized me

              Why We Use Julia, 10 Years Later
            • Data dashboarding tools | Streamlit v.s. Dash v.s. Shiny vs. Voila vs. Flask vs. Jupyter

              Just tell me which one to useAs always, “it depends” – but if you’re looking for a quick answer, you should probably use: Dash if you already use Python for your analytics and you want to build production-ready data dashboards for a larger company.Streamlit if you already use Python for your analytics and you want to get a prototype of your dashboard up and running as quickly as possible.Shiny if

                Data dashboarding tools | Streamlit v.s. Dash v.s. Shiny vs. Voila vs. Flask vs. Jupyter
              • Math Inspector

                A Visual Programming Environment for Scientific Computing Free open source software designed for students, content creators, and professional mathematicians Download version 0.9.4 (Beta) Imagine web inspector, except for math and with block coding Python Interpreter Math inspector is a traditional python interpreter that has a number of quality of life improvements; such as syntax highlighting, an

                  Math Inspector
                • Visualisation Libraries - JavaScript, Python and More

                  The libraries and toolkits discussed in this article can be used for rendering dynamic plot on desktop, mobile and web-based platforms so that a quick summary of results can be presented. These tools can be used by data scientists and researchers for an effective analysis of dynamic data. But, before moving on to these tools/libraries, let's look at some obvious points! The key features and charac

                    Visualisation Libraries - JavaScript, Python and More
                  • Julia 1.6: what has changed since Julia 1.0?

                    Julia 1.0 came out well over 2 years ago. Since then a lot has changed and a lot hasn’t. Julia 1.0 was a commitment to no breaking changes, but that is not to say no new features have been added to the language. Julia 1.6 is a huge release and it is coming out relatively soon. RC-1 was released recently. I suspect we have at least a few more weeks before the final release. The Julia Core team take

                    • GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API

                      awesome-chatgpt-api - Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota. awesome-chatgpt-prompts - This repo includes ChatGPT prompt curation to use ChatGPT better. awesome-chatgpt - Curated list of awesome tools, demos, docs for ChatGPT and GPT-3 awesome-totally-open-chat

                        GitHub - taishi-i/awesome-ChatGPT-repositories: A curated list of resources dedicated to open source GitHub repositories related to ChatGPT and OpenAI API
                      • Pandas DataFrame Visualization Tools - Practical Business Python

                        Introduction I have talked quite a bit about how pandas is a great alternative to Excel for many tasks. One of Excel’s benefits is that it offers an intuitive and powerful graphical interface for viewing your data. In contrast, pandas + a Jupyter notebook offers a lot of programmatic power but limited abilities to graphically display and manipulate a DataFrame view. There are several tools in the

                          Pandas DataFrame Visualization Tools - Practical Business Python
                        • Nx (Numerical Elixir) is now publicly available - Dashbit Blog

                          Sean Moriarity and I are glad to announce that the project we have been working on for the last 3 months, Nx, is finally publicly available on GitHub. Our goal with Nx is to provide the foundation for Numerical Elixir. In this blog post, I am going to outline the work we have done so far, some of the design decisions, and what we are planning to explore next. If you are looking for other resources

                          • Fundamentals of Matplotlib Library for Data Science

                            This article will discuss the Matplotlib library,” in the data scientist’s toolbox on Python. Matplotlib is a library very commonly used by data scientists…. In addition to “Matplotlib,” “Pandas,” and “NumPy” are important parts of the data scientist’s toolbox. Introduction to MatplotlibIs it possible to know your data’s trend or pattern without visualization? In my view, the answer is definitely

                              Fundamentals of Matplotlib Library for Data Science
                            • GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI

                              ComfyUI-Gemini_Flash_2.0_Exp (⭐+172): A ComfyUI custom node that integrates Google's Gemini Flash 2.0 Experimental model, enabling multimodal analysis of text, images, video frames, and audio directly within ComfyUI workflows. ComfyUI-ACE_Plus (⭐+115): Custom nodes for various visual generation and editing tasks using ACE_Plus FFT Model. ComfyUI-Manager (⭐+113): ComfyUI-Manager itself is also a cu

                                GitHub - ComfyUI-Workflow/awesome-comfyui: A collection of awesome custom nodes for ComfyUI
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