So’ngi 2 oy stresslarga boy o’tdi 🤯

Berilgan loyha hajmi kattaroq edi.

Bunga:

- Machine Learning - model train qilish
- FastAPI da ko’targan microserviceni refactoring qilish o’rniga GO’da qayta yozib chiqish
- Bazaga hitlarni kamaytirish uchun soft SQL surovlar yozish
- M.U.N.I.S kabi boshqa davlat loyhalari biLan integrasiyalash
- Search tezlashtirish maqsadida Elastic Search ishlatish
- Admin role uchun esa VueJs'da Frontent qismini ishlab chiqish
- Va boshqalarga …

majbur bo’ldim …🤦‍♂️

Shu faqat Jiramda biroz tasklar qoldi (DB sharding, Docker Swarm)

Natijada esa o’qiyman deb saqlab qo’ygan kitoblarim va video darslarim ham tuxtab qoldi 😕

Xullas loyha uchun deadline belgilanilayotganda etiborli bo’lishimiz zarur 😑

P.s Loyhani MVP qilib topshirishim bilanoq Ochiq tabiat quynida sizlar bilan picnic 🧺 qilish niyat qilib quydim. Insha’Allah)

Keladiganlar bormi ?
👇 🙃

In this tutorial, you’ll learn how to:

* Run Python threads in parallel on multiple CPU cores
* Avoid the data serialization overhead of multiprocessing
* Share memory between Python and C runtime environments
* Use different strategies to bypass the GIL in Python
* Parallelize your Python programs to improve their performance
* Build a sample desktop application for parallel image processing

More: https://realpython.com/python-parallel-processing/

p.s Bar bir bazilarda bu mavzularda tushunmovchiliklar, ikkilanishlar bo'lmoqda 'Deep dive' qilib ko'rish zarur ... (Junior-Middle Interview results ... )

Ho’p demak … 🎊

Bu tema yana qayta ochilmoqda tayor turamiza. Postni tanish middle leveldagi (ayniqsa FullStack bo’lsa +) dasturchi tanishlarga yuborib quying tez orada kanalarda ham chiqib qoladi to’liq talablar va e’lon postlari 😉

Go with live reload (in docker)

p.s kerak bo'lib qolar

More: https://dev.to/jacobsngoodwin/full-stack-memory-app-01-setup-go-server-with-reload-in-docker-62n

#savol

Juniorlar dan Docker bilan ishlay olish tajribasini(ko'nikma) talab qilish qanchalik to'gri deb uylaysiz ?

More: https://awstip.com/dockerizing-django-effortless-deployment-with-postgres-nginx-and-gunicorn-2584c39adcf3

“Lets Crack It!” bir oylik challengining summarysi:

Har bir haftada bitta mavzu tanlanib, shu mavzuga doir 6 tadan masala ishlandi va live video editorial ko'rinishida tushuntirib berildi.


Week 1 - Dynamic Programming I
-> Edit Distance
-> Best Time to But and Sell Stocks II
-> Potions
-> Min Jumps Array
-> Rod Cutting
-> Word Break

Week 2 - Graph Theory
-> Largest Distance Between Nodes of a Tree
-> Clone Graph
-> Water Flow
-> Convert Sorted Tree to a Binary Search Tree
-> Capture Regions on a Board
-> Word Ladder

Week 3 - Binary Search
-> Search for a Range
-> Painter’s Partition Problem
-> Median of Array
-> Allocate Books
-> Implement Power Function
-> Find a Peak Element

Week 4 - Dynamic Programming II
-> Intersecting Chords in a Circle
-> Distinct Subsequences
-> Longest Valid Parentheses
-> Repeating Subsequence
-> Submatrices With Sum Zero
-> Increasing Path in Matrix


Foydali deb topsangiz, do’stlaringiz va yaqinlaringizga ulashing! 😉

👉 @Code_With_Ulugbek 👈

Pythonchilar uchun kechga tinglash uchun podcast: 🎧

https://youtu.be/-DVyjdw4t9I?si=3z-ySV3X9I0R0XLI

#Savol

Sizda bir necha pdf formatidagi filelar va ichida malumotlari mavjud.

example:
* devops_names.pdf (10_000_000 pages)
* programmers_names.pdf (100_000_000 pages)
…

Vazifa shundan iboratki agar user John deb qidirganida barcha faylardan John qatnashgan page raqamlar qaytaradigan search engine qilish.

Example:
Input: John Washington
Output:
[
{
pdf_name:[ page_no1, page_no2]
},

{
devops_names:[ 12, 854]
},

]

Python/JS Middle dasturchi (FULL TIME/FULL STACK)

Kompaniya: O'simliklar karantini va himoyasi agentligi.
Axborot kommunikatsiya texnologiyalari boshqarmasi.

Oylik Maosh: +15 000 000 so'm (Davlat tashkiloti)
Ish vaqti: Dushanbadan – Jumagacha 9:00 – 18:00
Ish joyi: Toshkent shahar(office)

Talablar:
- SQL so'rovlarini yozish, RDBMS bilan ishlash qobiliyati;
- Python (Django, DRF) 2.5 yil real tajribaga ega bo’lish;
- JS(React, Redux, ContextAPI) 1.5 yil real tajribaga ega bo’lish;
- Git (Github) bilan ishlay olish;
- API bilan ishlay olish ko'nikmasi;
- Deploy qilish (Nginx, Docker, CI/CD, AWS);
- Kodni doimiy tahlil qilish, optimallashtirish va kengaytirish;
- Oliy maʼlumotga ega boʼlish!

Afzal ko’riladi:
- Karta bilan ishlash tajribasi(Leaflet);
- SOAP protokoli bilan ishlay olish;
- SOLID, DRY tamoyillarini bilish;
- Web-sockets;
- Rus va Ingliz tilini bilish.

Yuqorida koʼrsatilgan texnologiyalar asosida qilingan ishlari boʼlishi talab etiladi.

Resume yoki CV ni quyidagi emailga yuboring:
uzdavagency@gmail.com

👉 @uzpythonjobs

O'zbekistonda Stackoverflow, Hubstaff, CodeSandbox va shunga o'xshash development toolarni bloklash uchun qaysi darajada "tupoy" bo'lish kerak?

#offtopic

What day is it today?
Dushanba ham dam ekanmi 🙃

p.s Don't push your changes today !!!

https://www.youtube.com/watch?v=Y7UjZx4QdN8

Concurrency vs Parallelism bittami?

Disclaimer — Bu ikki atamani o’zbekcha tarjimasini qidirgan edim, ikkalasini ham bir xil, parallellik deb tarjima qilib berdi. Shuning uchun asl holatida yozaman.

Concurrency va parallelism o’xshash, ikkisi ham bir necha tasklarni bir vaqtda bajarish uchun mo’ljallangan bo’lsada, ular orasida yetarlicha farqlar bor.

Sizda bajaralishi kerak bo’lgan 10 ta task va uni bajarish uchun esa 1 dona CPU bor. Concurrency barcha 10 tasklarni ma’lum bir vaqt oralig’ida, tasklarni almashtirgan holatda faqat bitta taskni bajaradi. 1 dona CPU (protsessor) 10 ta taskni almashtirgan holatda bajaradi, bu esa xuddiki 10 ta task bir vaqtda(multitasking) bajarilayotgandek illuziya beradi.

Concurrency I/O bound operatsiyalarida juda foydali hisoblanadi. Chunki qaysidir task I/O bound kutish holatida bo’lsa, context switch boshqa taskni bajarib turadi, bu esa dastur ishini tezlashtiradi.

Tasavvur qiling, siz yana oshxonadasiz, va bu safar makaron pishiryapsiz.

Sizda quyidagi tasklar bor:
1) Sabzavotlarni tozalash va to’g’rash
2) Makaronni suvda qaynatish
3) Qayla tayyorlash(piyoz, pomidor yordamida)

Agar siz sinxron tarzda ishlasangiz, bularni ketma-ketlikda bajarishingiz kerak edi. Avval sabzavotlarni tozalab, to’g’raysiz(15 minut). Keyin Makaronni suvda qaynashini kutasiz(25 minut) va oxirida esa qaylani tayyorlab(20 minut), barchasini aralashtirasiz. Sinxron tarzda siz makaron tayyorlash uchun, 1 soat sarfladingiz.

Endi shuni, Concurrency tarzida amalga oshiradigan bo’lsak, jarayon quyidagicha ko’rinish oladi:
Makaronni suvda qaynatishga qo’yib, sabzavotlarni to’graysiz(15 minut) va qayla tayyorlashni ham boshlab qo’yasiz. Ora-orada qaylani ham aralashtirasiz va yana sabzavotlarni to’g’rashda davom etasiz(Task switching). Bu esa resurs va vaqtdan unumli foydalanishga olib keladi. Kompyuter CPU si ham aynan shunday task switching tarzida ishlaydi.

**davomi bor

🔥 Django Models/Advanced tip

🇺🇸: When you need to enforce data integrity constraints in your Django models, CheckConstraint is your go-to tool.

The first CheckConstraint named "valid_price" ensures that the price of a product is non-negative.

The second CheckConstraint named "published_products_have_positive_price" enforces that if a product is published (is_published=True), it must have a positive price. This constraint allows unpublished products (is_published=False) to have a price of 0.


🇺🇿: soon … 😉

©️ Linkiddin

More: https://www.laac.dev/blog/database-constraints-in-django/

OSI Model chiqdi 🎉

Qo'llanma yozishda ba'zi xatoliklarga yo'l qo'ygan bo'lishimiz mumkin.

Iltimos uni izohlarda yozib to'g'irlab keting.

Qatiyatli bo'ling va o'rganishda charchamang.

Post foydali bo'lsa, ulashishingiz mumkin!

@otabekswe