professional-programming
go
professional-programming | go | |
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14 | 2,092 | |
45,597 | 120,346 | |
- | 1.2% | |
7.8 | 10.0 | |
3 days ago | 3 days ago | |
Python | Go | |
MIT License | BSD 3-clause "New" or "Revised" License |
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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.
professional-programming
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A collection of learning resources for curious software engineers
The inclusion of the perspective section: https://github.com/charlax/professional-programming?tab=read... I think is really smart. Same for personal productivity. Two things that can dramatically change how and what you end up studying and doing with your time / life.
I did a coding bootcamp and yeah the frontend knowledge they taught was useful, but I could have learned that online for free. Looking back, the far more valuable thing I learned was how to discipline myself and my time - that was the first time in my life I was truly disciplined and mindful in how I spent my time. I also got perspective I'd never seen before: there was some folks in my cohort that were in their 30s and 40s and undergoing career change, and I learned two things from them: First, don't stress too much, your life has much more flexibility than you might expect (this truth is borne out, they all have perfectly successful careers in their new lives as engineers), and second, make a great use of the time you have.
Bog-standard advice we all know, but to witness it firsthand from people living it and sharing it is different. The shared article in the github is incredible: https://www.theguardian.com/commentisfree/2020/sep/07/termin...
I often wonder why I don't see more of these sorts of articles. From watching a family member slowly die of cancer, and from reading books like "When Breath Becomes Air," I'm guessing it's some combination of exhaustion, disability, and a new set of priorities that doesn't really involve death blogging. Still, I find these kinds of writings more poignant than most things I read.
- Professional Programming – Learning resources for software engineers
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How long did it take you to code by second nature?
Also this repo helps https://github.com/charlax/professional-programming
- Professional Programming
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5 GitHub Repositories every Developer should know
1. Professional Programming
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Open Source Repositories
Professional Programming. As reported, The goal of this page is to make you a more proficient developer. If you have excellent resources, you can try to open a PR and include them here. But in any csae, I wanted to include this because it seems super interesting.
- These GitHub repositories contain so much knowledge you can use to become a better developer.
- Professional-programming: A collection of full-stack resources for programmers
go
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Arena-Based Parsers
The description indicates it is not production ready, and is archived at the same time.
If you pull all stops in each respective language, C# will always end up winning at parsing text as it offers C structs, pointers, zero-cost interop, Rust-style struct generics, cross-platform SIMD API and simply has better compiler. You can win back some performance in Go by writing hot parts in Go's ASM dialect at much greater effort for a specific platform.
For example, Go has to resort to this https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f... in order to efficiently scan memory, while in C# you write the following once and it compiles to all supported ISAs with their respective SIMD instructions for a given vector width: https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (there is a lot of code because C# covers much wider range of scenarios and does not accept sacrificing performance in odd lengths and edge cases, which Go does).
Another example is computing CRC32: you have to write ASM for Go https://github.com/golang/go/blob/4ed358b57efdad9ed710be7f4f..., in C# you simply write standard vectorized routine once https://github.com/dotnet/runtime/blob/56e67a7aacb8a644cc6b8... (its codegen is competitive with hand-intrinsified C++ code).
There is a lot more of this. Performance and low-level primitives to achieve it have been an area of focus of .NET for a long time, so it is disheartening to see one tenth of effort in Go to receive so much spotlight.
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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.
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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
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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.
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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
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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
What are some alternatives?
cs-video-courses - List of Computer Science courses with video lectures.
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
Pycco - Literate-style documentation generator.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
pck3r - This program created for novice in linux and can handle almost things in ubuntu and all distributions based on debian(package manager : "apt")...
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
Basic-Algorithms - Basic algorithms and data structures written in different programming languages
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).
dexy
Angular - Deliver web apps with confidence 🚀
every-programmer-should-know - A collection of (mostly) technical things every software developer should know about
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020