Read this story from Abdo OTMANI on Medium: https://medium.com/@abdelaziz.otm/scaling-with-django-drf-optimizing-performance-for-high-traffic-applications-d35b1b077c53

Протоколы в Python

Протоколы – это альтернатива абстрактным базовым классам (ABC). Благодаря данной статье ты узнаешь, что из себя представляют протоколы. Также демонстрируются практические примеры работы с ними.

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#статьи

LinkedIn troll qilayapti shekilli

©️ Linkedln 🤔

Where switch case?

More: https://www.blog.dailydoseofds.com/p/using-python-dictionaries-as-a-potential

Hammaga salom 👋

Kanal obunachilar soni ajoyib raqamlarga yetibdi 🤩 Obuna bo’lgan, share qilib va postlarga reaksiya bildirib kelayotgan hammaga rahmat 🫶🏻🤝

Dam olish kuni ekan deb o’z ustimizda ishlashdan tuxtab qolmaymiz shu bois kechga 22:00da LIVE stream qilish rejasidaman 🎙️

Dasturlashga oid yohud qandaydir boshqa bir savolar bo’lsa bemalol LIVE da (ochiqchasiga 😅) gaplashamiz insha’Allah 😇

Barchani kutib qolaman va ‘networking’ni yanada kuchaytirish maqsadida LIVEda ko’p savol bergan bilan birga Free Coding Pizza🍕 (bir piyola kofe) qilish rejasidaman (albatta toshkentda bo’lsalar😁) 🙂😉

Demak boshladik! Savolar bo'lsa bemalol 🙂


Link: https://t.me/davron_coder?livestream=26b9ef7714f4c02d10

'Go'chilar uchun qiziq repo :)

va kanal: @azizbekhojimurodov

p.s Xa to’g’ri GO chi emasmiz lekin kerak bo’lib qolishi mumkin kelajakda.

Go Rest API template: https://github.com/firdavsDev/golang-rest-api-template


Oramizda Go'chilar bormi 👇 ✋

Docker Swarm haqida so'rashgan edi.

p.s O'zim loyhalarda ishlatish uchun ko'rib o'rgangan ayrim article va video darslar linklari:

* https://takacsmark.com/docker-swarm-tutorial-for-beginners/
* https://www.youtube.com/watch?v=3-7gZS4ePak&list=PPSV
* https://youtu.be/ZjwCEo2Er8Q?si=jsTkdcuu-cF4N2Oy (Django + )

How to Reduce Docker containers Size ?🤔

Any Suggestions 👇

More: https://devopscube.com/reduce-docker-image-size/

#day_of_bug

Avvallari video darslar kam bo`lgan. Odamlar kitob o`qigan.

Kitob o`qishning foydasi, miyyada o`qiyotgan narsan odam tasavvur qiladi. Miyyada biror strukturaga kelishni boshlidi.

Video darsda esa, shu struktura ko`rsatib beriladi. Va bu struktura muallifning o`zi his qila olgan strukturasi. Sizniki emas.

Masalan, biror kinoni olaylik. U yerda effektlar va qizziq jarayonlar bilan bitta scenariyni ko`tsatishadi. Bittagina yo`l. Shu yo`lni turlicha usullar bilan yoritishadi. Lekin yo`l bitta.

Kitobda shu kinoni o`qib chiqsangiz, siz har bir yo`lni o`ziz qarab chiqasiz. Sizga qulay bo`lgan yo`l bilan yurib, jarayonlardan o`tasi. Bu esa sizning miyyangizda bu narsa shakllanishiga va saqlanishiga yordam beradi.

Oddiy misol. Uyni tasavvur qiling. Shiftida (potolok) nima bor? Eshigini rangi qanaqa?

Endi javob bering, nima uchun eshik tangini qizil demadingiz? Nima uchun shiftda turgan faner bo`yalgan?

Siz hozir tasavvur qilishga hayotdan ko`rgan uyingizdan kelib chiqib fikrladingiz. O`z uyingiz, o`rtog`ingiz uyi, siz qurmoqchi bo`ldan uy. Lekin siz tanimagan Said akani uylarini tasavvur qilmadingiz. Chunki uni uyini ko`rmagansiz-da.

Kitobda agar uyning ichi muhim bo`lmasa, uy deb etib ketiladi va siz o`z uyingizga moslab eslab qolasiz. Qayerdan odam kirdi, shkaf qayerda edi, oson eslab qolasiz. Agar kinoda ko`rsangiz va sizning uyingiz unga mos kelmasa, ertaga esizda ham bo`lmaydi.

Bilim ham shunday. Ilmni o`qishda miyyada shakllantira olsangiz va saqlay olsangiz bilim bo`ladi. 2 + 2 = ? deganda, kimdur cho`plarni o`ylidi, kimdur olmalarda sanaydi, kimdur tosh bilan, kimdur esa pizza bilan sanab 4 deydi.
Masala 2 ning shakli emas, qiymatida.

Shuning uchun kitob o`qish kerak....

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