静态网站悖论 个人网站的两种不同实现方式：一种是复杂的内容管理系统（CMS），另一种是简单的静态 HTML 文件。文章指出，尽管大多数普通用户倾向于使用复杂的解决方案（如 WordPress），但实际上，只有少数专业软件工程师能够选择更简单的静态网站。 via HackerNews 2024 10 09 前两天刚好听朋友说 square space 已经涨到了近乎搞笑的 $25 月费，做不用来盈利的个人博客实在难以 justify。这篇文章中吐槽得很在点子上： normal users are stuck with a bunch of greedy clowns that make them pay for every little thing, all while wasting ungodly amounts of computational power to render what could have been a static website in 99% of cases. 普通用户被困在了一群屁大点功能都要收费的贪婪小丑手里，与此同时浪费着人神共愤额度的算力来渲染 99% 的情况下都可以作为静态的网站。 当然原文中说的“只有少数专业软件工程师才能选择更简单的静态网站”略微夸张并不认同，因为静态站至少是比 self-host 的动态 CMS 少太多维护了。我的 backlog 里也一直躺了篇安利新手用静态站并拉踩 WP 的文，不过网上这种文已经有无数了也还是拦不住前赴后继往各种 CMS 的坑里冲的新手，觉得写了又有什么意义呢就还搁着没写。（当然迟早会像以前反复造的无数轮子一样被废话欲战胜的 but not today） #indieblog#newletter
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@repo_science · Post #3160 · 2023/05/10 21:54
#Python#Flask#APIs 🐍 REST APIs with Flask and Python in 2023 Build professional REST APIs with Python, Flask, Docker, Flask-Smorest, and Flask-SQLAlchemy 🗣️ Jose Salvatierra, Teclado by Jose Salvatierra 🌟 4.6 - 20097 votes 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
@repo_science · Post #3383 · 2023/07/03 15:15
#public#APIs Public APIs A collective list of free APIs for use in software and web development 🔍#github 🔗Link ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----
@djangoproject · Post #437 · 2017/09/11 19:13
https://httpie.org/ #HTTPie consists of a single http command designed for painless debugging and interaction with HTTP #servers, #RESTful#APIs, and web services: Sensible defaults Expressive and intuitive command syntax Colorized and formatted terminal output Built-in JSON support Persistent sessions Forms and file uploads HTTPS, proxies, and authentication support Support for arbitrary request data and headers Wget-like downloads Extensions Linux, Mac OSX, and Windows support And more…
@djangoproject · Post #264 · 2017/02/18 06:23
https://blog.miguelgrinberg.com/post/designing-a-restful-api-with-python-and-flask In recent years #REST (REpresentational State Transfer) has emerged as the standard architectural design for #web services and web #APIs. In this article I'm going to show you how easy it is to create a RESTful web service using Python and the Flask microframework. What is REST? The characteristics of a REST system are defined by six design rules: Client-Server: There should be a separation between the #server that offers a service, and the #client that consumes it. Stateless: Each request from a client must contain all the information required by the server to carry out the #request. In other words, the server cannot store information provided by the client in one request and use it in another request. Cacheable: The server must indicate to the client if requests can be cached or not. Layered System: Communication between a client and a server should be standardized in such a way that allows intermediaries to respond to requests instead of the end server, without the client having to do anything different. Uniform Interface: The method of communication between a client and a server must be uniform. Code on demand: Servers can provide executable code or scripts for clients to execute in their context. This constraint is the only one that is optional.
@djangoproject · Post #118 · 2016/08/08 11:44
https://docs.python.org/3/library/multiprocessing.html multiprocessing is a package that supports spawning processes using an API similar to the threading module. The multiprocessing package offers both local and remote concurrency, effectively side-stepping the Global Interpreter Lock by using subprocesses instead of threads. Due to this, the multiprocessing module allows the programmer to fully leverage multiple processors on a given machine. It runs on both Unix and Windows. The #multiprocessing module also introduces #APIs which do not have analogs in the #threading#module. A prime example of this is the Pool object which offers a convenient means of parallelizing the execution of a function across multiple input values, distributing the input data across processes (data #parallelism). The following example demonstrates the common practice of defining such functions in a module so that child processes can successfully import that module. This basic example of data parallelism using Pool,
@djangoproject · Post #589 · 2018/03/29 06:38
http://books.agiliq.com/projects/django-api-polls-tutorial/en/latest/ Building #APIs with #Django and #Django_Rest_Framework(#DRF) Introductions Setup, Models and Admin A simple API with pure Django #Serializing and Deserializing Data Views and Generic Views More views and viewsets #Access_Control #Testing and Continuous Integeration Testing and Using API with Postman Documenting APIs (with Swagger and more)
@CryptoM · Post #64595 · 2026/04/09 09:46
🚀 Gobi Partners Invests in Transak to Expand Asian Market Presence Gobi Partners has announced its investment in Transak. According to ChainCatcher, Transak, established in 2019, offers financial institutions a single API for seamless fiat and digital asset exchanges, handling KYC, AML, risk monitoring, and local payment integration. The investment aims to support Transak's expansion into the Asian market. Transak has already established its Asia-Pacific headquarters in Hong Kong and plans to enhance integration with payment networks and banking partners in the ASEAN region. #GobiPartners#Transak#Investment#AsiaMarketExpansion#Fintech#DigitalAssets#KYC#AML#RiskMonitoring#APIs#PaymentIntegration#ASEAN#HongKong#FinancialInstitutions