Search Results for "101"

Go 101 is a series of books on Go programming. Currently, the following books are available. Go (Fundamentals) 101, which focuses on Go syntax/semantics (except custom generics related) and all kinds of runtime related things. Go Generics 101, which explains Go custom generics in detail. Go Optimizations 101, which provides some code performance optimization tricks, tips, and suggestions.

101 FastAPI Tips is a curated collection of practical FastAPI advice from a developer deeply involved in the FastAPI ecosystem. Rather than being a full framework or application template, it works as a compact learning resource for improving real FastAPI projects. The tips cover performance, async behavior, WebSocket patterns, project structure, dependency choices, testing habits, and production-minded design decisions.

Learning-Prompt is a curated repository of prompts, techniques, and instructional patterns designed to help people construct better prompts for AI systems, including generation, reasoning, and debugging tasks. It collects examples of effective prompt formats, chains of thought, strategy scaffolds, and comparative methods that help yield consistent, high-quality results. The project also includes meta-guidance: reflections on prompt failures, tips for prompt tuning, ways to mitigate model...

A curated list for awesome Kubernetes sources. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. The first unified container-management system developed at Google was the system we internally call Borg. It was built to manage both long-running services and batch jobs, which had previously been handled by two separate...

...It provides trained models for datasets such as PASCAL VOC 2012, Cityscapes, NYUDv2, Person_Parts, PASCAL_Context, SUNRGBD, and ADE20k, with versions based on ResNet-101 and ResNet-152 backbones. The repository supports both single-scale and multi-scale prediction, with scripts for training, testing, and evaluating segmentation performance. While this codebase is specific to MATLAB and MatConvNet, a PyTorch implementation and lighter-weight variants are also available from the community.

...High-level routines are provided to allow a variety of purposes including simple data transfer through to HTTP handling. Non-AVR boards are NOT currently supported (101/Zero/Due) #211 Hardware: Depending on the size of the buffer for packets, this library uses about 1k of Arduino RAM. Large strings and other global variables can easily push the limits of smaller microcontrollers. This library uses the SPI interface of the microcontroller and will require at least one dedicated pin for CS, plus the SO, SI, and SCK pins of the SPI interface. ...