Davronbek | SWE 🪐

#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

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

Ko'p savol keladi shu mavzudan ham DEBUG=FALSE qilingandan sung static file ishlamay qoldi (dockerda ham .. ) Balki yechim bulishi mumkin: https://testdriven.io/blog/django-static-files/ Sizda ham bu mavzuga oid link bulsa qoldiring 👇

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

#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] }, ]

Va nihoyat dam olish kunidamiz 🎉 Endi mazza qilib, o’z ustimizda ishlashi tuxtatib quymasdan dars qilsak ham bo’ladi 🥲 Git bilan ishlashni takrorlab olamiz. Interviewlarda tushgan (man ham ko’p suraydigan) savolardan bu. * https://youtu.be/zOnwgxiC0OA?si=PJl4V1oiRtsNnjKm * https://youtu.be/Uszj_k0DGsg?si=-ncuOBBhaE231NC0 * https://youtu.be/TLB5MY9BBa4?si=jPDIKeBzNynEzsVk (github actions) P.s Maqoladan o’qib o’rgansak ko’proq foydali bo’ladi. O’zizda bor Git haqida foydali linklarni qoldiring siz ham 👇 (‘Tutorial hell’ bo’lib qolmang!!!)

Pythonchilar uchun kechga tinglash uchun podcast: 🎧 https://youtu.be/-DVyjdw4t9I?si=3z-ySV3X9I0R0XLI

“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 👈

#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

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

New (blue button) ⌨️ 😌 Shu sal ovozi shovqinli ekan 🥲 ishxonada ishlatib bo’lmayapti, ko’nikish ham qiyinro bo’lmoqda …. Qanday keyboard maslahat bera olasizlar boshqa tovushi uncha baland bo’lmagan 🤷‍♂️ More: https://geekboards.ru/page/mechanical_switches_v2

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 😉

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 ... )

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 ? 👇 🙃

Bundan 3yilchalar oldin ilk ishxonada stajor sifatida ishga olinayotgan vaqtimda ‘Core Python, OOP, va algorithm masala’ interview qilishgan edi. 🤓 Esda qolarli Algorithm masala bo’lgan edi pythoni o’rganganiga endi 3oy bo’lgan dasturchi sifatida manga, hozirgacha man ham ishga topshirayotganlardan shu algorithm masalaga yechim berishlarni surayman interviewlarda 😌 Masala oddiy: N gacha bo’lgan tub sonlar ruyhatini qaytarib beradigan funksiya tuzub berish. Input: 10 Output: [2,3,5,7] P.s Izohda man usha vaqtdagi interviewda yozib bergan codimni va hozirda biroz optimize qilgan varyantini qoldiraman (siz ham o’z varyantizni google search qilmasdan qoldirishga harakat qiling)🔽👇

Read this story from elijah samson on Medium: https://python.plainenglish.io/microservices-in-python-kafka-and-django-c4e4fc83b7ef

"Tabriklations" ✨🎉 Happy programmers' day🥳🤩 Hayotdan zavqlanishni ham esdan chiqarmang. (bayram bayramdek o’tsin) 😉 Bayram muborak, o'rtoq programmistlar 🎉👨‍💻 @davron_coder .

Bazida yosh avlodga, tanishlarga dasturlashni o’rganishni tavsiya berishga o'ylanib qolaman 🤔 - Nega ? 🤔 p.s Yaqin 2, 3 yil ichida uzbekiston bozorida dasturchilar soni sezilarli darajada oshdi va usha vaqtlarda junior uchun quyilgan talab hozirda junior dasturchidan suralayotgan talablarda kam bo’lgan. Hozirda o’quv markazni tugatib, video darsliklar kurib ishga topshirish kelganda qiyinchiliklar yuzaga keladi. Bu vaqtni ‘depression time’ deb ham atasak bo’ladi. Shu depretsiyani yengib o’tganlargina AT da o’z kareryasini muvaffaqiyat qo'ra olishi mumkin. Never give up 🚀 📍 PDP academy (10 sentabr 2023)

Select_related and prefetch_related are both methods in Django that can be used to improve the performance of queries by fetching related data from the database in a single query. Select_related works by performing a join on the database table when the query is executed. This means that all of the related data is returned in a single query, which can improve performance if the related data is large. However, select_related can only be used if the relationship between the two models is a one-to-one or one-to-many relationship. Prefetch_related works by fetching the related data in a separate query after the initial query has been executed. This means that the related data is not returned in the initial query, but it is available when it is needed. Prefetch_related can be used for any type of relationship, but it is most useful for many-to-many relationships. More informations