Software Engineering at Google

@malikovdev

Resume tayorlashingizda oneapp.ly va linkedin.com saytidagi classic template mode #recommendation qilgan bular edim :)

More: https://old.mohirdev.uz/yaxshi-resume/ 🇺🇿

#resume

Docker Container Backup/Restore Guide

p/s Bugungi kundagi "Stellar job" bu databse qayta tiklash buldi 🥶.

Loyhalarda DataBase muhum hisoblaniladi shu bois undan buckuplar olib turish kerak (avto)

More: https://simplebackups.com/blog/docker-container-backup-restore-guide/

LINKS TO LEARN DEVOPS


1) Linux :
Basic Linux commands are necessary before jumping into shell scripting.

* https://lnkd.in/dBTsJbhz
* https://lnkd.in/dHQTiHBB
* https://lnkd.in/dA9pAmHa

2. Shell Scripting:

* https://lnkd.in/da_wHgQH
* https://lnkd.in/d5CFPgga

3. Python: This will help you in automation

* https://lnkd.in/dFtNz_9D
* https://lnkd.in/d6cRpFrY
* https://lnkd.in/d-EhshQz

4. Networking

* https://lnkd.in/dEmZ8zhY
* https://lnkd.in/dqTx6jmN
* https://lnkd.in/dRqCzbkn

5. Git & Github

* https://lnkd.in/d9gw-9Ds
* https://lnkd.in/dEp3KrTJ

6. YAML
https://lnkd.in/duvmhd5X
https://lnkd.in/dNqrXjmV

7. Containers — Docker:

* https://lnkd.in/dcKuY4j5
* https://lnkd.in/dY2ZswMZ
* https://lnkd.in/d_EySpbh
* https://lnkd.in/dPddbJTf

8. Continuous Integration & Continuous Deployment (CI/CD):

* https://lnkd.in/dMHv9T8U

9. Container Orchestration — Kubernetes:
* https://lnkd.in/duGZwHYX

10. Monitoring:

* https://lnkd.in/dpXhmVqs
* https://lnkd.in/dStQbpRX
* https://lnkd.in/de4H5QVz
* https://lnkd.in/dEtTSsbB

11. Infrastructure Provisioning & Configuration Management (IaC): Terraform, Ansible, Pulumi

* https://lnkd.in/dvpzNT5M
* https://lnkd.in/dNugwtVW
* https://lnkd.in/dn5m2NKQ
* https://lnkd.in/dhknHJXp
* https://lnkd.in/ddNxd8vU

12. CI/CD Tools: Jenkins, GitHub Actions, GitLab CI, Travis CI, AWS CodePipeline + AWS CodeBuild, Azure DevOps, etc

* https://lnkd.in/dTmSXNzv
* https://lnkd.in/dAnxpVTe
* https://lnkd.in/daMFG3Hq
* https://lnkd.in/dqf-zzrx
* https://lnkd.in/diWP7Tm7
* https://lnkd.in/dYDCSiiC

13. AWS:

* https://lnkd.in/dmi-TMv9
* https://lnkd.in/de3-dAB6
* https://lnkd.in/dh2zXZAB
* https://lnkd.in/dQMyCBWy


14. Learn how to SSH
SSH using mobaxterm:

* https://lnkd.in/gx-T_FU8

15. SSH using Putty :

* https://lnkd.in/gGgW7Ns9


HAPPY LEARNING 📌

From: Source

@saidamins_blog🏴

Djangoda powerful ORM and query capabilities built-in:

❇️ Case... When …

Qachon: Book degan databasedagi faqat “categoriyasi Romance bulganlarga 20% chigirma bulsin, Historical categorysidagi kitoblarga 35% chegirma elon qilinayotganda ishlatishingiz mumkin (example)

Qanday? 😐
from django.db.models import F, Q, Value, When, Case
from decimal import Decimal
books = Book.objects.annotate(discounted_price=Case(
When(category="Romance", then=F("price") * Decimal(0.95)),
When(category="Historical fiction", then=F("price") * Decimal(0.8)),
default=None
))

Nega:🤔
For gets filtered data from database quickly 🚀


More: https://juhanajauhiainen.com/posts/advanced-django-queries

Vaqt kerak

Oldinlari "vaqt" muammo edi hozir esa uni "to'g'ri sarflash".

Biz vaqtim yo'q iborasini ishlatamiz aslida esa noto'g'ri. Vaqt doim bo'lgan.

Uxlash, yeyish, dam olish, kitob o'qish, ishlash uchun topilayabdiku.

Vaqtni topishdan ko'ra to'g'ri sarflash qiyinroq muammo deb bilaman.

Instagramga ketadigan vaqtingizni o'sha ishlarga sarflang.

Vaqtingizni bekorchi o'g'irlaydigan ishlardan o'zingizni chetlating.

Doim oldinda bo'ling. Ustozingiz 1-mavzuda bo'lsa siz 3-mavzuda bo'ling.

Internet rivojlangan davrda oldinda yurish muammo emas qidirmaslik muammo.

Vaqt doim topilgan va topiladi. Ammo uni sarflash uchun qobilyat va matonat kerak.

Manba: @otabeknurmatov_1

DevOps qiziquvchilar uchun readme !

Link: https://github.com/firdavsDev/devops-roadmap

Django: Mixins

Продолжаем делиться циклом видеоматериалов про Django. В этот раз ты узнаешь, что такое mixins (миксины) и как с их помощью устранить дублирование кода в классах представлений. Рассматривается пример стандартного миксина LoginRequiredMixin и декоратор login required.

👀Смотреть видео

#видео #django

Exploring MRO in Python Programming Language:

AI yordamida presentatsiya tayyorlab kòrdim.👇

Link: https://gamma.app/public/Exploring-MRO-in-Python-Programming-Language-45cj4ayqgfbn6yi

Django Rest Frameworkidan foydalangan holda API lar chiqarish uchun bir nechta class based view lar mavjud. 🤓

Bular: APIView, GenericAPIView, ViewSet, Mixins va boshqa. Bularning barchasining asosiy maqsadi API chiqarish lekin qaysi holatlarda qaysidan foydalanish bilmay, chalg'ib qolishimiz mumkin. 🤷‍♂️

Siz API chiqarishda qaysi Class Based (function based) ko'proq ishlatasiz va nega? 🤔 👇

AI yordamida tayyorlangan prezintatsiya link(qisqacha): https://gamma.app/public/Django-Rest-Framework-Class-Views-Explained-6ghdiz721gd9whb

More: https://dev.to/earthcomfy/class-based-views-in-drf-are-powerful-19dg ⛓

Garbage Collection

Garbage collector odatda xotirani toza saqlash uchun kerak. U xuddi bir xizmatkorga o'xshaydi. Agar xonangizda keraksiz va ishlatilmaydigan narsalarni ko'rsangiz uni axlatga olib chiqib tashlaysiz. Xuddi shu ishni dasturlash tillarida Garbage Collectorlar bajaradi.

Hop Garbage collector qachon va qanday keraksiz object yoki data ni aniqlaydi?

Bu ishni amalga oshirish uchun inson qanday yo'l tutsa dastur ham deyarli o'shanday ish qiladi. Ya'ni reference count xisoblanadi. Inson biror narsani kim va necha marta ishlatishini ko'rib aniqlasa, dastur reference count xisoblaydi. Reference bu biror objectga yo'naltirilgan pointer ya'ni ko'rsatgich yo'l deb atasak bo'ladi.

Reference Count qanday ko'payadi yoki kamayadi?

Bilamizki biror o'zgaruvchi ochganimizda biz unga qiymat saqlamaymiz, balkim o'zgaruvchilar shunchaki bizni o'sha qiymatga kirishimiz uchun ko'rsatgich vazifasini o'taydi.

Bu huddi mahallada har bir nuqtaga odam qo'yib yashinmachoq o'ynashdek gap. Ya'ni qo'ygan odamlariz kim-qayerga ketganini ko'rsatib turadi va siz ko'p vaqt sarflamasdan ularni tez topishingiz mumkin (O(1) vaqtda desa ham bo'ladi 😅). O'zgaruvchilar ham shu vazifani bajaradi.

Qachon bir nechta o'zgaruvchi bitta object yoki dataga reference bo'lsa u yerda reference count oshadi. Agar ular keyin boshqa objectga reference qilinsa yoki o'chirib tashlansa, RC tushadi.

Misol uchun:

a = "hello" # "hello" objecti yaratildi va a unga reference bo'ldi
b = a # Ref. Count 1taga oshdi.
del a # Ref. Count 1taga tushdi
b = 17 # Ref. count 1taga kamaydi

Yuqoridagi misol Python dasturlash tiliga tegishli va u yerda reference count qachon oshishi va qachon tushishi ko'rsatilgan.

Kelin buni real ko'rish uchun mana bunday ish qilamiz. sys modulini getrefcount() funksiyasi bizga objectimiz nechta referencega egaligini ko'rishimiz mumkin. del() dunder methodi orqali esa object o'chirilganini ko'rishimiz mumkin, del statement objectni o'chirish uchun ishlatiladi.

import sys

class MyClass:
def __init__(self):
print("Creating object")

def __del__(self):
print("Deleting object")

obj = MyClass()
print("Reference count:", sys.getrefcount(obj) - 1)

# Reference Coutni oshiramiz
obj2 = obj
print("Reference count:", sys.getrefcount(obj) - 1)

# obj2 referenceni o'chiramiz
del obj2
print("Reference count:", sys.getrefcount(obj) - 1)

# obj ni o'chiramiz
del obj

Umid qilaman qisqacha Garbage collection mavzusiga tushunib oldingiz deb. Keyingi postda chuqurroq yoritishga harakt qilaman. Xatolar bo'lsa oldindan uzur.

Manba

What is metaclass in Python programming language?! (Interviewda suralgan edi, yul yulakay check qilayotgan edim )

Sizga ham qiziq bulishi mumkin balki, shu yerda tursin arxiv :)

More: https://stackoverflow.com/questions/100003/what-are-metaclasses-in-python?rq=2

Kutilmagan Xatoliklar chiqishi tabiiy hol 🙂

Texnikada buzilib turadi = (Dasturchida xato qilib turadi)

#dastur chilariga yuboramiz 😉