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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
b
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Go 1.18 Released
It depends on the level of abstraction you're addressing. One level may be "i need to store things with a quick search function", another may be "i need a storage of ordered names and expiry date for things", etc until you get to "I need a binary tree which orders by comparable types".
Where you split that process as a separate library you either decide to write or reuse - that becomes the problem to solve. A set implementation may be a problem to solve: https://github.com/deckarep/golang-set A btree may be a problem to solve: https://gitlab.com/cznic/b/-/tree/master/v2
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A generic B+Tree implementation you can use today
Requires Go1.18beta1 or later: https://gitlab.com/cznic/b/-/tree/master/v2
go
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.
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How to use Retrieval Augmented Generation (RAG) for Go applications
Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
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Why Go is great choice for Software engineering.
The Go Programming Language
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OpenBSD 7.5 Released
When Go first shipped, it was already well-documented that the only stable ABI on some platforms was via dynamic libraries (such as libc) provided by said platforms. Go knowingly and deliberately ignored this on the assumption that they can get away with it. And then this happened:
https://github.com/golang/go/issues/16606
If that's not "getting burned", I don't know what is. "Trying to provide a nice feature" is an excuse, and it can be argued that it is a valid one, but nevertheless they knew that they were using an unstable ABI that could be pulled out from under them at any moment, and decided that it's worth the risk. I don't see what that has to do with "not being as broadly compatible as they had hoped", since it was all known well in advance.
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Go's Error Handling Is Perfect
Sadly, I think that is indeed radically different from Go’s design. Go lacks anything like sum types, and proposals to add them to the language have revealed deep issues that have stalled any development. See https://github.com/golang/go/issues/57644
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
I've been writing a lot about Go and gRPC lately:
What are some alternatives?
go_chainable - With generics, allowing chainable .Map(func(...)).Reduce(func(...)) syntax in go
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
gtl - Golang Template Library (GTL). Common data structures using Golang generics.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
go-generic-optional - Implementation of Optionals in Go using Generics
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
functional-go - This library is inspired by functional programming - Clojure
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
Angular - Deliver web apps with confidence 🚀
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020
RxGo - Reactive Extensions for the Go language.
React - The library for web and native user interfaces.