Search Results for "mac ppc browser"
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Showing 4 open source projects for "mac ppc browser"
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Go 101
An up-to-date (unofficial) knowledge base for Go programming
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. Go Details & Tips 101, which collects many details and provides several tips in Go programming. These... -
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MinIO Client Quickstart Guide
Fast tool to manage MinIO clusters
MinIO Client (mc) provides a modern alternative to UNIX commands like ls, cat, cp, mirror, diff, find etc. It supports filesystems and Amazon S3-compatible cloud storage service (AWS Signature v2 and v4). MinIO is distributed under GNU AGPLv3. See the source tree for complete information on all components of the work and their licenses. MinIO is a high-performance object storage solution that provides an Amazon Web Services S3-compatible API and supports all core S3 features. MinIO is built... -
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Connect Go
Simple, reliable, interoperable. A better gRPC
Connect is a slim library for building browser and gRPC-compatible HTTP APIs. You write a short Protocol Buffer schema and implement your application logic, and Connect generates code to handle marshaling, routing, compression, and content type negotiation. It also generates an idiomatic, type-safe client. Handlers and clients support three protocols: gRPC, gRPC-Web, and Connect's own protocol. The Connect protocol is a simple, POST-only protocol that works over HTTP/1.1 or HTTP/2. It takes... -
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gophernotes
The Go kernel for Jupyter notebooks and nteract
gophernotes is a Go kernel for Jupyter notebooks and nteract. It lets you use Go interactively in a browser-based notebook or desktop app. Use gophernotes to create and share documents that contain live Go code, equations, visualizations and explanatory text. These notebooks, with the live Go code, can then be shared with others via email, Dropbox, GitHub and the Jupyter Notebook Viewer. Go forth and do data science, or anything else interesting, with Go notebooks! This project utilizes a... -
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