concatenation_benchmarks-rs
go
concatenation_benchmarks-rs | go | |
---|---|---|
4 | 2,075 | |
301 | 119,718 | |
- | 0.7% | |
0.0 | 10.0 | |
6 months ago | 5 days ago | |
Rust | Go | |
- | BSD 3-clause "New" or "Revised" License |
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.
concatenation_benchmarks-rs
-
String concatenations benchmarks (updated)
The widely quoted string concatenation benchmarks by Hendrik Sollich are 4 years old. I added a few methods and some macros from crates.io and re-ran the benches. Here are the results: 0 ns/iter (+/- 0) from_bytes 10 ns/iter (+/- 0) concat_string_macro 10 ns/iter (+/- 0) concat_strs_macro 10 ns/iter (+/- 0) mut_string_with_capacity_push_str_char 10 ns/iter (+/- 0) string_concat_macro 10 ns/iter (+/- 1) mut_string_with_capacity_push_str 14 ns/iter (+/- 0) concat_in_place_macro 19 ns/iter (+/- 10) mut_string_with_too_much_capacity_push_str 22 ns/iter (+/- 0) array_join 24 ns/iter (+/- 0) array_concat 24 ns/iter (+/- 0) array_join_long 24 ns/iter (+/- 0) mut_string_push_str 27 ns/iter (+/- 0) string_from_plus_op 27 ns/iter (+/- 0) to_string_plus_op 29 ns/iter (+/- 0) to_owned_plus_op 30 ns/iter (+/- 0) collect_from_array_to_string 34 ns/iter (+/- 0) collect_from_vec_to_string 39 ns/iter (+/- 0) mut_string_with_too_little_capacity_push_str 43 ns/iter (+/- 1) string_from_all 52 ns/iter (+/- 0) format_macro 53 ns/iter (+/- 0) format_macro_implicit_args 68 ns/iter (+/- 1) mut_string_push_string
-
Looking for feedback on an article/code on maritime data processing with RUST
format!() is slow (https://github.com/hoodie/concatenation_benchmarks-rs)
- 17 ways to concatenate strings in rust
- Rust Language Cheat Sheet
go
-
Go: the future encoding/json/v2 module
A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.
-
Evolving the Go Standard Library with math/rand/v2
I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles
The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397
-
Microsoft Maintains Go Fork for FIPS 140-2 Support
There used to be the GO FIPS branch :
https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...
But it looks dead.
And it looks like https://github.com/golang-fips/go as well.
-
Borgo is a statically typed language that compiles to Go
I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:
- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644
- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412
Here are some excerpts from the latest Go survey [1]:
- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."
- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."
I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.
[1]: https://go.dev/blog/survey2024-h1-results
-
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.
-
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!
-
From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
-
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