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  • GitHub - modelcontextprotocol/servers: Model Context Protocol Servers

    Official integrations are maintained by companies building production ready MCP servers for their platforms. 21st.dev Magic - Create crafted UI components inspired by the best 21st.dev design engineers. ActionKit by Paragon - Connect to 130+ SaaS integrations (e.g. Slack, Salesforce, Gmail) with Paragon’s ActionKit API. Adfin - The only platform you need to get paid - all payments in one place, in

      GitHub - modelcontextprotocol/servers: Model Context Protocol Servers
    • 100+ Best GitHub Repositories For Machine Learning

      There are millions of GitHub repos and filtering them is an insane amount of work. It takes a huge time, effort, and a lot more. We have done this for you. In this article, we’ll share a curated list of 100+ widely-known, recommended, and most popular repositories and open source GitHub projects for Machine Learning and Deep Learning. So without further ado, Let’s see all the hubs created by exper

        100+ Best GitHub Repositories For Machine Learning
      • 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 Interactive window

          Using the Python Interactive window The Python Interactive window, mentioned in the previous section, can be used as a standalone console with arbitrary code (with or without code cells). To use the window as a console, open it with the Jupyter: Create Interactive Window command from the Command Palette. You can then type in code, using Enter to go to a new line and Shift+Enter to run the code. To

            Python Interactive window
          • Where Programming, Ops, AI, and the Cloud are Headed in 2021

            In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. But what are “trends”? All too often, trends degenerate into horse races over languages and platforms. Look at all the angst heating up social media when TIOBE or RedMonk releases their reports on language rankings. Those repo

              Where Programming, Ops, AI, and the Cloud are Headed in 2021
            • GitHub - zauberzeug/nicegui: Create web-based user interfaces with Python. The nice way.

              NiceGUI is an easy-to-use, Python-based UI framework, which shows up in your web browser. You can create buttons, dialogs, Markdown, 3D scenes, plots and much more. It is great for micro web apps, dashboards, robotics projects, smart home solutions and similar use cases. You can also use it in development, for example when tweaking/configuring a machine learning algorithm or tuning motor controlle

                GitHub - zauberzeug/nicegui: Create web-based user interfaces with Python. The nice way.
              • 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
                • A Lisp REPL as my main shell

                  If you enjoy this article and would like to help me keep writing, consider chipping in, every little bit helps to keep me going :) Thank you! Update: As of 2021-02-07, not all the code and configurations used in this presentation have been published. Should happen in the coming days, stay tuned! Introduction video The concepts I’m going to present in this article were featured in a presentation at

                  • Data Visualization Using Python

                    We have seen that Python language is a powerful tool for data science and data operations, but how powerful is Python for Data visualization? One of the key responsibilities of Data scientists is to communicate results effectively with the stakeholders. This is where the power of visualization comes into play. Creating effective visualizations helps businesses identify patterns and subsequently he

                      Data Visualization Using Python
                    • Python VS Common Lisp, workflow and ecosystem - Lisp journey

                      NEW: 9 videos (86min) about CLOS on my Common Lisp course. Out of 7h+ of content. Rated 4.7/5. Learn more and stay tuned. 🎥 I also have cool Lisp showcases on Youtube . The last ones: how to build a web app in Common Lisp, part 1 and 2. I learned Java and C at school, I learned Python by myself and it was a relief. After 8 years working and doing side projects in Python and JavaScript (mostly web

                      • Cloud-Native Observability and Security Analytics with SysFlow and Falco

                        Frederico Araujo & Teryl Taylor, IBM Research Dec 21, 2021 Hello, fellow Falcoers! This blog introduces you to a new open system telemetry format and project called SysFlow. The project has deep ties to Falco, the de facto CNCF cloud-native runtime security project. Falco is exceptional at detecting unexpected application behavior and alerting on threats at runtime. Furthermore, its components and

                          Cloud-Native Observability and Security Analytics with SysFlow and Falco
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