Demak boshladik! Savolar bo'lsa bemalol ๐
Link: https://t.me/davron_coder?livestream=26b9ef7714f4c02d10
Link: https://t.me/davron_coder?livestream=26b9ef7714f4c02d10
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Davronbek | SWE ๐ช
More: Python | Go | VueJs
- Loyihalardagi xatoliklar va ularni xal qilishdagi ba'zi tavsiyalarni yozib boraman.
Don't be shy, say hi ๐ | @firdavs_dev | https://davronbekdev.uz
- Loyihalardagi xatoliklar va ularni xal qilishdagi ba'zi tavsiyalarni yozib boraman.
Don't be shy, say hi ๐ | @firdavs_dev | https://davronbekdev.uz
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'Go'chilar uchun qiziq repo :)
va kanal: @azizbekhojimurodov
p.s Xa toโgโri GO chi emasmiz lekin kerak boโlib qolishi mumkin kelajakda.
Go Rest API template: https://github.com/firdavsDev/golang-rest-api-template
Oramizda Go'chilar bormi ๐ โ
va kanal: @azizbekhojimurodov
p.s Xa toโgโri GO chi emasmiz lekin kerak boโlib qolishi mumkin kelajakda.
Go Rest API template: https://github.com/firdavsDev/golang-rest-api-template
Oramizda Go'chilar bormi ๐ โ
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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 + )
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 + )
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โCoding Pizza ๐โ eventning 0.0.1 versiyasi. ๐ โ๏ธ
Suxbat juda ajoyib boโlib oโtdi, kelgan barchaga rahmat. InshaโAllah bunday โnetworking meetupโ lar va aโzolar soni yanada oshib boraversin ๐คฒ
Mehmonlar:
* @shukurdev
* @malikovdev
* @Homedov14
* @Bunaqahazillashma
* @Islomjon2566
* @davron_coder (me)
InshaโAllah keyingi mehmon siz ๐
Suxbat juda ajoyib boโlib oโtdi, kelgan barchaga rahmat. InshaโAllah bunday โnetworking meetupโ lar va aโzolar soni yanada oshib boraversin ๐คฒ
Mehmonlar:
* @shukurdev
* @malikovdev
* @Homedov14
* @Bunaqahazillashma
* @Islomjon2566
* @davron_coder (me)
InshaโAllah keyingi mehmon siz ๐
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How to Reduce Docker containers Size ?๐ค
Any Suggestions ๐
More: https://devopscube.com/reduce-docker-image-size/
#day_of_bug
Any Suggestions ๐
More: https://devopscube.com/reduce-docker-image-size/
#day_of_bug
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Forwarded from [PYTHON:TODAY]
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Forwarded from Saidolim Djuraev
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....
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....
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Forwarded from Abduaziz ฯ
โ๏ธ Samaradorlik: "N+1" muammosi
ORMning "buyuk" qudrati sababli N+1 muammosiga duch kelishimiz mumkin. Har xil atamalar bilan boshingizni qotirmayman: N+1 muammosi bu 1ta so'rov bilan amalga oshirilishi mumkin bo'lgan ishni N ta so'rov bilan bajarish.
1-rasmda ma'lumotlar omborining modelini ko'ring, sinov uchun 10 000 ta obyekt yaratib qo'ydim.
Barcha "bratlar"ni faqat ismi va yoshi kerak bo'lsin. Katta ehtimol bilan
Optimallashtirish:
SQLda qilinishi shart bo'lgan ish uchun pythonni zo'rlamang.
๐ Yaqinlarga ulashing.
@AbduazizPy
ORMning "buyuk" qudrati sababli N+1 muammosiga duch kelishimiz mumkin. Har xil atamalar bilan boshingizni qotirmayman: N+1 muammosi bu 1ta so'rov bilan amalga oshirilishi mumkin bo'lgan ishni N ta so'rov bilan bajarish.
1-rasmda ma'lumotlar omborining modelini ko'ring, sinov uchun 10 000 ta obyekt yaratib qo'ydim.
Barcha "bratlar"ni faqat ismi va yoshi kerak bo'lsin. Katta ehtimol bilan
Brat
va Info
o'rtasidagi munosabatdan foydalanib, 2-rasmdagi usuldan foydalanamiz. Muammosi nima buni desangiz (3-rasm), 10 001 ta so'rov ๐ฅ Barcha Brat
larni ro'yxati uchun 1ta so'rov (N ta obyekt), for tsikl ichida munosabatdan foydalanib yoshini olish uchun N ta qo'shimcha so'rov va jami N+1 ta so'rov ketyapdi !Optimallashtirish:
select_related
metodi argumentiga aynan qaysi "field"lar kerak ekanligini yuborasiz, muammo hal (4-rasm) va 1 ta so'rov yuboriladi (5-rasm, ~1380 marta tezlashdi).SQLda qilinishi shart bo'lgan ish uchun pythonni zo'rlamang.
๐ Yaqinlarga ulashing.
@AbduazizPy
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Forwarded from Bekzod's Blog (Bekzod ๐จโ๐ป)
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
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
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Bazida yosh avlodga, tanishlarga dasturlashni oโrganishni tavsiya berishga o'ylanib qolaman ๐ค
- Nega ?๐ค
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 boโlgan. Hozirda oโquv markazni tugatib, video darsliklar kurib ishga topshirish kelganda qiyinchiliklar yuzaga keladi. Bu vaqtni โdepression timeโ deb ham atasak boโladi. Shu depretsiyani yengib oโtganlargina AT da oโz kareryasini muvaffaqiyat qo'ra olishi mumkin.
Never give up ๐
๐ PDP academy (10 sentabr 2023)
- 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 boโlgan. Hozirda oโquv markazni tugatib, video darsliklar kurib ishga topshirish kelganda qiyinchiliklar yuzaga keladi. Bu vaqtni โdepression timeโ deb ham atasak boโladi. Shu depretsiyani yengib oโtganlargina AT da oโz kareryasini muvaffaqiyat qo'ra olishi mumkin.
Never give up ๐
๐ PDP academy (10 sentabr 2023)
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"Tabriklations" โจ๐
Happy programmers' day๐ฅณ๐คฉ
Hayotdan zavqlanishni ham esdan chiqarmang. (bayram bayramdek oโtsin)๐
Bayram muborak, o'rtoq programmistlar ๐๐จโ๐ป
@davron_coder
.
Happy programmers' day๐ฅณ๐คฉ
Hayotdan zavqlanishni ham esdan chiqarmang. (bayram bayramdek oโtsin)
Bayram muborak, o'rtoq programmistlar ๐๐จโ๐ป
@davron_coder
.
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Forwarded from All About Django
Read this story from elijah samson on Medium: https://python.plainenglish.io/microservices-in-python-kafka-and-django-c4e4fc83b7ef
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Bundan 3yilchalar oldin ilk ishxonada stajor sifatida ishga olinayotgan vaqtimda โCore Python, OOP, va algorithm masalaโ interview qilishgan edi. ๐ค
Esda qolarli Algorithm masala boโlgan edi pythoni oโrganganiga endi 3oy boโlgan dasturchi sifatida manga, hozirgacha man ham ishga topshirayotganlardan shu algorithm masalaga yechim berishlarni surayman interviewlarda ๐
Masala oddiy:
๐ฝ ๐
Esda qolarli Algorithm masala boโlgan edi pythoni oโrganganiga endi 3oy boโlgan dasturchi sifatida manga, hozirgacha man ham ishga topshirayotganlardan shu algorithm masalaga yechim berishlarni surayman interviewlarda ๐
Masala oddiy:
N gacha boโlgan 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 oโz varyantizni google search qilmasdan qoldirishga harakat qiling)
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