TGINSIGHT SIMILAR POSTS
Source channel @olddriverGDstudy · Post #53 · Mar 24
#知识#接吻 第一式：舔吻 用舌舔对方的上下唇，让对方感受舌部味蕾舔掠的感觉，注意要保持唾液的充分，如果唾液太少，干燥的舔吻会有不舒服的感觉。 第二式：咬吻 用牙齿轻咬对方的唇，但别咬的太用力，以免受伤喔! 第三式：吸吻 轻轻的吸吮对方的唇部；可用自己的唾液轻抹在对方的唇部，然后吸吮干净。 第四式：推动吻 把舌伸进对方口中，让舌与舌互相推放，男生力气应放小，以免女生疼痛；这种互推吻可形成快感。 第五式：吸舌吻 以你的唇含住他的舌，轻轻的吸吮对方的舌头，动作宜缓慢而轻柔，勿过于仓促。 第六式：齿龈吻 用舌探索对方的牙及牙龈的内外两侧，以刺激口内粘膜为目的。动作要仔细，慢，轻柔的介于碰触与不碰触之间，以产生一种特殊的亲密感。 第七式：滑动吻 用舌尖稍用力的舔对方的舌部内侧，由里向外滑舔。 第八式：舔舌吻 双方以舌对舌互舔，以用舌尖为主，不用唇。 第九式：嚼食之吻 咬住对方的舌头，似欲吞食般的吻；请小心别用力过火，只是假装而已。想像对方的舌头是好吃的东西，又咬又舔又吸的想吞进肚子里去。 第十式：律动之吻 以舌在对方的口中，有节奏律动般的的绕着对方的舌尖，画圈似的舔吻。 第十一式：深喉咙吻 将舌深入对方的喉咙重舔。重压，是霸道占有般的吻；这是一种颇不舒服的吻法，但还是有乐在其中的人。 第十二式：热情之吻 将自己的舌把对方的舌包卷于口中，上下左右回旋翻动，用放肆的旋动来增加快感，虽嫌粗鲁但颇具挑战性，是接吻高手必备的技巧之一。 第十三式：甘泉之吻 利用两唇相接时……以舌将自己的唾液渡入对方口中，并吸食对方的唾液。适用于两情相悦且身体健康的爱侣，会觉入口之唾液为琼浆玉液般，世间独有。
Search: #apis
@repo_science · Post #3160 · 05/10/2023, 09:54 PM
#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 · 07/03/2023, 03:15 PM
#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 · 09/11/2017, 07:13 PM
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 · 02/18/2017, 06:23 AM
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 · 08/08/2016, 11:44 AM
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 · 03/29/2018, 06:38 AM
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 · 04/09/2026, 09:46 AM
🚀 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