✅ Don't forget stop and clear time.Ticker

دقت کنید ()ticker.Stop فقط تایمر را متوقف می کند اما آبجکت ticker باقی می ماند بهتر است پس از توقف آبجکت را nil بزارید.

// Defer the stop of the ticker, help GC to cleanup
defer func() {
  // we might want to revist this, go.mod now is 1.16
  // however I still encouter the issue on go 1.22.2
  // there are 2 issues regarding tickers
  // https://go-review.googlesource.com/c/go/+/512355
  // https://github.com/golang/go/issues/61542

  ticker.Stop()
  ticker = nil
}()

#tips
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A Crash Course on Relational Database Design

#bytebytego #tips #pro_guide
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A Crash Course on Domain-Driven Design

#bytebytego #tips #pro_guide
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MeiliShell is a interactive shell for manage Meilisearch

Feature:
- Interactive shell
- Connection check when connect to shell
- Connect to other Meilisearch server with connect command
- Help commands with example
- Meilisearch management with shell
- Standard result of responses

https://github.com/Ja7ad/meilishell

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🎊 Go 1.22.6 and 1.21.13 are released!

🔈 Announcement: https://groups.google.com/g/golang-announce/c/X4q_-Wf-5g4

⬇️ Download: go.dev/dl/#go1.22.6

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GoLand 2024.2 is Out!

⚙️ New refactoring
📦 Many fixes for remote development and dev containers
🚀 Performance improvements
🚄DX and UX upgrades
🛰️ Better support for Go frameworks and Go language features

Learn more: https://blog.jetbrains.com/go/2024/08/05/goland-2024-2-is-out/

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الگوریتم PickByNestedKey


با استفاده از این الگوریتم شما می توانید value مورد نظر خود را از داخل map های تو در تو بکشید بیرون.

این الگوریتم برای مواقعی که شما میخواهید بصورت implicit با دیتا کار کنید و هیچ اطلاعی از تایپ های داخل map ندارید اما value را میخواهید کمک میکند.


https://gist.github.com/Ja7ad/8fd3b33518f571fbe82caa50ec90385f

تست بنچمارک عملکرد:

goos: linux
goarch: amd64
pkg: github.com/Ja7ad/meilisitemap/utils
cpu: AMD Ryzen 7 5700U with Radeon Graphics         
Benchmark_PickByNestedKey
Benchmark_PickByNestedKey/foo.bar.x.y.z
Benchmark_PickByNestedKey/foo.bar.x.y.z-16            8992422         133.7 ns/op        80 B/op         1 allocs/op
Benchmark_PickByNestedKey/foo.bar.x.y.a.0.noscript
Benchmark_PickByNestedKey/foo.bar.x.y.a.0.noscript-16    6467626         182.4 ns/op       112 B/op         1 allocs/op
Benchmark_PickByNestedKey/foo.bar.x.y.a.0.domain
Benchmark_PickByNestedKey/foo.bar.x.y.a.0.domain-16            6328083         188.8 ns/op       112 B/op         1 allocs/op
Benchmark_PickByNestedKey/foo.bar.x.y.a.1.noscript
Benchmark_PickByNestedKey/foo.bar.x.y.a.1.noscript-16             6277484         185.9 ns/op       112 B/op         1 allocs/op
Benchmark_PickByNestedKey/foo.bar.x.y.a.1.domain
Benchmark_PickByNestedKey/foo.bar.x.y.a.1.domain-16            6407796         185.7 ns/op       112 B/op         1 allocs/op
Benchmark_PickByNestedKey/foo.bar.x.y
Benchmark_PickByNestedKey/foo.bar.x.y-16                      10424744         111.4 ns/op        64 B/op         1 allocs/op
Benchmark_PickByNestedKey/foo.bar
Benchmark_PickByNestedKey/foo.bar-16                          15783884          75.94 ns/op        32 B/op         1 allocs/op
Benchmark_PickByNestedKey/foo
Benchmark_PickByNestedKey/foo-16                              22246024          52.19 ns/op        16 B/op         1 allocs/op
PASS

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🥳 Go 1.23.0 is released!

📝 Release notes: go.dev/doc/go1.23

⬇️ Download: go.dev/dl/#go1.23.0

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7 must-know runtime complexities for coding interviews:

1. 𝐎(1) - 𝐂𝐨𝐧𝐬𝐭𝐚𝐧𝐭 𝐭𝐢𝐦𝐞
- The runtime doesn't change regardless of the input size.
- Example: Accessing an element in an array by its index.

2. 𝐎(𝐥𝐨𝐠 𝐧) - 𝐋𝐨𝐠𝐚𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐭𝐢𝐦𝐞
- The runtime grows slowly as the input size increases. Typically seen in algorithms that divide the problem in half with each step.
- Example: Binary search in a sorted array.

3. 𝐎(𝐧) - 𝐋𝐢𝐧𝐞𝐚𝐫 𝐭𝐢𝐦𝐞
- The runtime grows linearly with the input size.
- Example: Finding an element in an array by iterating through each element.

4. 𝐎(𝐧 𝐥𝐨𝐠 𝐧) - 𝐋𝐢𝐧𝐞𝐚𝐫𝐢𝐭𝐡𝐦𝐢𝐜 𝐭𝐢𝐦𝐞
- The runtime grows slightly faster than linear time. It involves a logarithmic number of operations for each element in the input.
- Example: Sorting an array using quick sort or merge sort.

5. 𝐎(𝐧^2) - 𝐐𝐮𝐚𝐝𝐫𝐚𝐭𝐢𝐜 𝐭𝐢𝐦𝐞
- The runtime grows proportionally to the square of the input size.
- Example: Bubble sort algorithm which compares and potentially swaps every pair of elements.

6. 𝐎(2^𝐧) - 𝐄𝐱𝐩𝐨𝐧𝐞𝐧𝐭𝐢𝐚𝐥 𝐭𝐢𝐦𝐞
- The runtime doubles with each addition to the input. These algorithms become impractical for larger input sizes.
- Example: Generating all subsets of a set.

7. 𝐎(𝐧!) - 𝐅𝐚𝐜𝐭𝐨𝐫𝐢𝐚𝐥 𝐭𝐢𝐦𝐞
- Runtime is proportional to the factorial of the input size.
- Example: Generating all permutations of a set.

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اولین نسخه از زبان GoSharp منتشر شد.

زبان GoSharp یک فورک از Golang هست که قراره فیچرها و بهینه‌سازی‌های زیادی رو داشته باشه.

با اولین فیچری که اضافه شد، شما می‌تونید فقط با نوشتن یک '?' ، خطا رو بدون نوشتن if err != nil برگردونید.

مخزن گیت‌هاب
https://github.com/0x9n0p/gosharp


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https://telegra.ph/1-Two-Sum-08-18

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