EPAM kabi companylarda interview jarayonida suralish ehtimoli mavjud boβlgan mavzular (sinior akalar tavsiyasi π)
VCS - git merge vs git rebase
Docker, Conterinization - Image, Container, Volume
WEB - REST API, Django architecture
DataBase - Index , Inner Join
CI/CD
Python Types and Operations - Dictionaries, is vs ==, mutable vs immutable, copy vs deepcopy
Algorithms - Complexity
Functions in Python
Memory managemen - Ref counting
Multitasking - GIL, Thread vs process
OOP in Python - Encapsulation, Data hiding
1. Dictionaries in depth. Hash, hash function and its properties. Hashing vs. encrypting. Good reference material on how dictionaries work:https://stackoverflow.com/questions/327311/how-are-pythons-built-in-dictionaries-implemented
2. Decorators in depth. To see into what is decorator is and how it works. How to decorate function without using '@'. The same for parametrized decorators.(https://realpython.com/primer-on-python-decorators/)
3. Figure out how does inheritance in Python work. What is diamond problem. What is MRO. Difference between New Style Classes and Old Style Classes. C3 algorithm. Be able to calculate MRO of large inheritance tree on blackboard or paper(https://blog.pilosus.org/posts/2019/05/02/python-mro/).
4. reference counting (https://towardsdatascience.com/understanding-reference-counting-in-python-3894b71b5611)
5. Garbage collecting in python (https://pythoninternal.wordpress.com/2014/08/04/the-garbage-collector/)
6. Figure out what is scope and how LEGB rule works. (https://python-scripts.com/scope )
7. Algorithms complexity - https://introprogramming.info/english-intro-csharp-book/read-online/chapter-19-data-structures-and-algorithm-complexity/
8. Data hiding - https://www.upgrad.com/blog/data-hiding-in-python/#:~:text=Data%20hiding%20in%20Python%20is,and%20hides%20them%20from%20users.
9. Python GIL (https://www.dabeaz.com/GIL/)
I can suggest to take a look at this books:
* "Clean Code: A Handbook of Agile Software Craftsmanship" (Robert C. Martin )
* "Clean Architecture: A Craftsman's Guide to Software Structure and Design" (Robert C. Martin )
* "Clean Coder, The: A Code of Conduct for Professional Programmers " (Robert C. Martin )
Python:
* Programming Python ( Mark Lutz )
* "Learning Python" by Mark Lutz
* "Python Cookbook" by Brian Jones, David Beazley
* "Fluent Python" by Luciano Ramalho
More complex books:
* "Python Tricks: The Book A Buffet of Awesome Python Features" (Den Baden)
* "Clean Code in Python: Refactor your legacy code base" (by Mariano Anaya)
* "CPython Internals" (Anthony Shaw)
linkedin courses:
* https://www.linkedin.com/learning/effective-serialization-with-python/serialization-with-python
* https://www.linkedin.com/learning/python-parallel-and-concurrent-programming-part-1/learn-parallel-programming-basics
*https://www.linkedin.com/learning/python-parallel-and-concurrent-programming-part-2/learn-parallel-programming-basics?u=2113185
*https://www.linkedin.com/learning/python-code-challenges/put-your-python-skills-to-the-test?u=2113185Β»
@davron_dev
VCS - git merge vs git rebase
Docker, Conterinization - Image, Container, Volume
WEB - REST API, Django architecture
DataBase - Index , Inner Join
CI/CD
Python Types and Operations - Dictionaries, is vs ==, mutable vs immutable, copy vs deepcopy
Algorithms - Complexity
Functions in Python
Memory managemen - Ref counting
Multitasking - GIL, Thread vs process
OOP in Python - Encapsulation, Data hiding
1. Dictionaries in depth. Hash, hash function and its properties. Hashing vs. encrypting. Good reference material on how dictionaries work:https://stackoverflow.com/questions/327311/how-are-pythons-built-in-dictionaries-implemented
2. Decorators in depth. To see into what is decorator is and how it works. How to decorate function without using '@'. The same for parametrized decorators.(https://realpython.com/primer-on-python-decorators/)
3. Figure out how does inheritance in Python work. What is diamond problem. What is MRO. Difference between New Style Classes and Old Style Classes. C3 algorithm. Be able to calculate MRO of large inheritance tree on blackboard or paper(https://blog.pilosus.org/posts/2019/05/02/python-mro/).
4. reference counting (https://towardsdatascience.com/understanding-reference-counting-in-python-3894b71b5611)
5. Garbage collecting in python (https://pythoninternal.wordpress.com/2014/08/04/the-garbage-collector/)
6. Figure out what is scope and how LEGB rule works. (https://python-scripts.com/scope )
7. Algorithms complexity - https://introprogramming.info/english-intro-csharp-book/read-online/chapter-19-data-structures-and-algorithm-complexity/
8. Data hiding - https://www.upgrad.com/blog/data-hiding-in-python/#:~:text=Data%20hiding%20in%20Python%20is,and%20hides%20them%20from%20users.
9. Python GIL (https://www.dabeaz.com/GIL/)
I can suggest to take a look at this books:
* "Clean Code: A Handbook of Agile Software Craftsmanship" (Robert C. Martin )
* "Clean Architecture: A Craftsman's Guide to Software Structure and Design" (Robert C. Martin )
* "Clean Coder, The: A Code of Conduct for Professional Programmers " (Robert C. Martin )
Python:
* Programming Python ( Mark Lutz )
* "Learning Python" by Mark Lutz
* "Python Cookbook" by Brian Jones, David Beazley
* "Fluent Python" by Luciano Ramalho
More complex books:
* "Python Tricks: The Book A Buffet of Awesome Python Features" (Den Baden)
* "Clean Code in Python: Refactor your legacy code base" (by Mariano Anaya)
* "CPython Internals" (Anthony Shaw)
linkedin courses:
* https://www.linkedin.com/learning/effective-serialization-with-python/serialization-with-python
* https://www.linkedin.com/learning/python-parallel-and-concurrent-programming-part-1/learn-parallel-programming-basics
*https://www.linkedin.com/learning/python-parallel-and-concurrent-programming-part-2/learn-parallel-programming-basics?u=2113185
*https://www.linkedin.com/learning/python-code-challenges/put-your-python-skills-to-the-test?u=2113185Β»
@davron_dev
Stack Overflow
How are Python's Built In Dictionaries Implemented?
Does anyone know how the built in dictionary type for python is implemented? My understanding is that it is some sort of hash table, but I haven't been able to find any sort of definitive answer.
π6β€βπ₯3π¨βπ»2β‘1β€1π₯1
MALUMOTLAR_BAZASINI_LOYIHALASH (1).pdf
333.3 KB
SQLda uzb contentda biroz izlanish qilayotgan edim. π
Shu yerda turib tursin arxiv bulib kerak buladi.
P/s uzizda bor DBga oid uzb content bulsa comentda qoldirishingiz mumkin π
Shu yerda turib tursin arxiv bulib kerak buladi.
P/s uzizda bor DBga oid uzb content bulsa comentda qoldirishingiz mumkin π
π₯7π1
Optimize Django response time. β³
Erta tongdan miya qabul qilish darajasi yuqori buladi deyishar edi. π€ π
More: https://youtu.be/vYWPnzhDpTo
* https://youtu.be/qDyxmgWkjvI
* https://youtu.be/a-sfr6y_hY8
* https://youtu.be/XXG-ESzB9Q8
* https://youtu.be/7CEsc-GgLyg
Erta tongdan miya qabul qilish darajasi yuqori buladi deyishar edi. π€ π
More: https://youtu.be/vYWPnzhDpTo
* https://youtu.be/qDyxmgWkjvI
* https://youtu.be/a-sfr6y_hY8
* https://youtu.be/XXG-ESzB9Q8
* https://youtu.be/7CEsc-GgLyg
π₯9π€3β€2π2
#useful_tip (2016)
Things You Must Know About Django Admin As Your App Gets Bigger
p/s Eski article bulishi mumkin lekin ko'p narsalar uncha o'zgarishlar yo'q hozirgi versiyalarda
More: https://hakibenita.com/things-you-must-know-about-django-admin-as-your-app-gets-bigger
Things You Must Know About Django Admin As Your App Gets Bigger
p/s Eski article bulishi mumkin lekin ko'p narsalar uncha o'zgarishlar yo'q hozirgi versiyalarda
More: https://hakibenita.com/things-you-must-know-about-django-admin-as-your-app-gets-bigger
β€3π2π1π€1
Forwarded from JR TwitGram π₯
Dasturlash bo'yicha savol-javob kodeksi.pdf
11.1 MB
Mohirdevdagilar Dasturlash boβyicha savol javob kodeksini ishlab chiqishgan ekan. Ayniqsa endi oβrganayotganlar uchun foydali
π₯6π3
βHappy Eidβ ππ
Assalomu alaykum
Ramazon hayiti muborak bo'lsin doβstlar! Qilgan duolarizni, tutgan roβzalaringizni alloh qabul qilsin. π€²
Dam olish kunlardan unumli foydalangan holda yangi texnalogiyalar oβrganib ular ustida amaliyot qilshda davom etamiz
π
#happy_eid
Assalomu alaykum
Ramazon hayiti muborak bo'lsin doβstlar! Qilgan duolarizni, tutgan roβzalaringizni alloh qabul qilsin. π€²
Dam olish kunlardan unumli foydalangan holda yangi texnalogiyalar oβrganib ular ustida amaliyot qilshda davom etamiz
π
#happy_eid
π7π3β€1π1
Python + Kafka video π₯
Kafka orqali uz loyhalarizga producer va consumerlar yaratish orqali performance sezilarli darajada tasir oβtkazishingiz mumkin boβladi π€
More: https://youtu.be/qi7uR3ItaOY
Kafka orqali uz loyhalarizga producer va consumerlar yaratish orqali performance sezilarli darajada tasir oβtkazishingiz mumkin boβladi π€
More: https://youtu.be/qi7uR3ItaOY
π₯6π3π3
Forwarded from Django darslari (Mukhammad irmatov)
Redis caching(keshlash)ni loyiha optimizatsiya qilishda oβrni beqiyos. Redis toβgβri sozlansa, foydalanuvchi soβrov yuborganda, soβralgan maβlumotni nechadir soniyalarda emas, millisoniyalarda taqdim etsa boβladi. Ammo doimgidek toβgβri sozlashni ham bilish kerak.
Caching (keshlash) ishlatayotganda juda ehtiyotkor boβlib ishlating. Avvalo u sizga qanchalik zarur va dasturning aynan qaysi qismlariga ishlatmoqchisiz, shuni aniqlab oling. Cachingni har bir foydalanuvchiga alohida maβlumot yuboruvchi endpointlarga qoβllash unchalik ham toβgβri ish emas, agar toβgβri sozlay olmasangiz foydalanuvchi soβragan maβlumotni emas, boshqa maβlumotni joβnatib qoβyishingiz ham mumkin.
Barchaga umumiy boβlgan maβlumotlar uchun, bir muncha vaqt oladigan murakkab hisob kitobni talab qiladigan sahifalar va sekinroq javob qaytadigan tashqi API larga bogβlangan qismlarga Caching ishlatish ish unumdorligini oshirib, javob qaytish vaqtini karrasiga kamaytirib beradi.
Cache Invalidation ni toβgβri sozlang. Bu eski maβlumotlarni keshdan oβchirib tashlash jarayoni. Caching ishlatganda, qanchadir muddatdan soβng keshlangan maβlumot oβchib ketishini taβminlash uchun expiration time (yaroqlilik muddatini) belgilang. Aks holda eski maβlumotni foydalanuvchiga yuborishingiz mumkin va eski keshlangan maβlumotlar yigβilib, xotiradan unumli foydalanishingizga toβsqinlik qiladi.
Expiration time ham eng ideal yechim emas, misol uchun siz har 25 daqiqada keshlangan maβlumotni oβchirib tashlaydigan qilgansiz, lekin maβlumotlar bazasida siz cachingda ishlatgan Model(DB table) yangilandi yoki biror bir maβlumot oβchirib tashlandi va tabiiyki sizning kesh xotirangiz bu aks etmaydi. Buni oldini olish uchun esa Django signal dan foydalanishni tavsiya qilaman. Post_save va post_delete signallari orqali kerakli modellarni ulab, ular oβzgargan vaqtda redis cachingni oβchirib tashlaydigan funksiya yozsangiz boβladi.
Caching ni toβgβri sozlay olsangiz, sizga judayam katta foydasi tegishi aniq
Caching (keshlash) ishlatayotganda juda ehtiyotkor boβlib ishlating. Avvalo u sizga qanchalik zarur va dasturning aynan qaysi qismlariga ishlatmoqchisiz, shuni aniqlab oling. Cachingni har bir foydalanuvchiga alohida maβlumot yuboruvchi endpointlarga qoβllash unchalik ham toβgβri ish emas, agar toβgβri sozlay olmasangiz foydalanuvchi soβragan maβlumotni emas, boshqa maβlumotni joβnatib qoβyishingiz ham mumkin.
Barchaga umumiy boβlgan maβlumotlar uchun, bir muncha vaqt oladigan murakkab hisob kitobni talab qiladigan sahifalar va sekinroq javob qaytadigan tashqi API larga bogβlangan qismlarga Caching ishlatish ish unumdorligini oshirib, javob qaytish vaqtini karrasiga kamaytirib beradi.
Cache Invalidation ni toβgβri sozlang. Bu eski maβlumotlarni keshdan oβchirib tashlash jarayoni. Caching ishlatganda, qanchadir muddatdan soβng keshlangan maβlumot oβchib ketishini taβminlash uchun expiration time (yaroqlilik muddatini) belgilang. Aks holda eski maβlumotni foydalanuvchiga yuborishingiz mumkin va eski keshlangan maβlumotlar yigβilib, xotiradan unumli foydalanishingizga toβsqinlik qiladi.
Expiration time ham eng ideal yechim emas, misol uchun siz har 25 daqiqada keshlangan maβlumotni oβchirib tashlaydigan qilgansiz, lekin maβlumotlar bazasida siz cachingda ishlatgan Model(DB table) yangilandi yoki biror bir maβlumot oβchirib tashlandi va tabiiyki sizning kesh xotirangiz bu aks etmaydi. Buni oldini olish uchun esa Django signal dan foydalanishni tavsiya qilaman. Post_save va post_delete signallari orqali kerakli modellarni ulab, ular oβzgargan vaqtda redis cachingni oβchirib tashlaydigan funksiya yozsangiz boβladi.
@receiver([post_save, post_delete], sender=Products)
def product_invalidate_cache(sender, instance, **kwargs):
cache_key = {'product_keyβ: str(instance.id)}
cache_key_str = json.dumps(cache_key)
redis.delete(cache_key_str)Caching ni toβgβri sozlay olsangiz, sizga judayam katta foydasi tegishi aniq
π4π₯3π2
Handling a Million Tasks in Django: Efficient Prioritization with Celery, Redis, and Flower
More: https://medium.com/@srinivasaravind5/handling-a-million-tasks-in-django-efficient-prioritization-with-celery-redis-and-flower-b06fc8957d5
More: https://medium.com/@srinivasaravind5/handling-a-million-tasks-in-django-efficient-prioritization-with-celery-redis-and-flower-b06fc8957d5
π4π3π₯2
Medium ilovasidan foydalanishingiz maslahat berar edim, juda koβplab ajoyib maqolalarni topishingiz mumkin. π
Mediumda βReading Listβda uzimga oβqigan va oβqiyotgan barcha maqolalarni jamlamoqdaman: β¬οΈ
https://medium.com/@davrondev/list/predefined:f5289fbfd4e8:READING_LIST π
Mediumda βReading Listβda uzimga oβqigan va oβqiyotgan barcha maqolalarni jamlamoqdaman: β¬οΈ
https://medium.com/@davrondev/list/predefined:f5289fbfd4e8:READING_LIST π
π4π2β€1
Forwarded from PyNotes
#Django_ORM #filters
Subquery
Django allows using SQL subqueries. Letβs start with something simple, We have a UserParent model which has OnetoOne relation with auth user. We will find all the UserParent which have a UserParent.
from django.db.models import Subquery
users = User.objects.all()
UserParent.objects.filter(user_id__in=Subquery(users.values('id')))
#source
https://books.agiliq.com/projects/django-orm-cookbook/en/latest/subquery.html
Subquery
Django allows using SQL subqueries. Letβs start with something simple, We have a UserParent model which has OnetoOne relation with auth user. We will find all the UserParent which have a UserParent.
from django.db.models import Subquery
users = User.objects.all()
UserParent.objects.filter(user_id__in=Subquery(users.values('id')))
#source
https://books.agiliq.com/projects/django-orm-cookbook/en/latest/subquery.html
π€·ββ5π2π₯2
Resume tayorlashingizda oneapp.ly va linkedin.com saytidagi classic template mode #recommendation qilgan bular edim :)
More: https://old.mohirdev.uz/yaxshi-resume/ πΊπΏ
#resume
More: https://old.mohirdev.uz/yaxshi-resume/ πΊπΏ
#resume
π₯5π€‘1π1
Docker Container Backup/Restore Guide
p/s Bugungi kundagi "Stellar job" bu databse qayta tiklash buldi π₯Ά.
Loyhalarda DataBase muhum hisoblaniladi shu bois undan buckuplar olib turish kerak (avto)
More: https://simplebackups.com/blog/docker-container-backup-restore-guide/
p/s Bugungi kundagi "Stellar job" bu databse qayta tiklash buldi π₯Ά.
Loyhalarda DataBase muhum hisoblaniladi shu bois undan buckuplar olib turish kerak (avto)
More: https://simplebackups.com/blog/docker-container-backup-restore-guide/
π3π₯1π1π€‘1π1
* Dockerdan loyhalarimizda
π‘ Bu algorithmlar qoidasi kabi: Tezlik ko'proq memory talab qiladi, Kamroq memory esa ko'proq vaqt
Build cache tozalash uchun:
commandasi (volumelada backup olib quyganiz ham maqul) π§Ή
p/s CI/CD buyicha serverda faqat docker-compose.yml file turishi kerak u imagelarni dockerHubdan tortib image uzini qayta up qilishi kerak holos
None image larni tozalash uchun:
More: https://medium.com/@iceburn/remove-docker-build-cache-3eca3d44dbb3
https://docs.docker.com/build/cache/
https://lipanski.com/posts/speed-up-your-docker-builds-with-cache-from π₯ (optimize )
build time kamaytirish maqsadida cache management ishlatar edik va 100GB serverimizda No Space error bulib qolgan ediπ* docker system df- commandasi orqali build cache 80GB bulib ketgani kurgan edikπ₯Ά
π‘ Bu algorithmlar qoidasi kabi: Tezlik ko'proq memory talab qiladi, Kamroq memory esa ko'proq vaqt
Build cache tozalash uchun:
docker builder prune
commandasi (volumelada backup olib quyganiz ham maqul) π§Ή
p/s CI/CD buyicha serverda faqat docker-compose.yml file turishi kerak u imagelarni dockerHubdan tortib image uzini qayta up qilishi kerak holos
None image larni tozalash uchun:
docker rmi -f $(docker images | grep "<none>" | awk "{print \$3}")
More: https://medium.com/@iceburn/remove-docker-build-cache-3eca3d44dbb3
https://docs.docker.com/build/cache/
https://lipanski.com/posts/speed-up-your-docker-builds-with-cache-from π₯ (optimize )
π5π₯3π3π€‘1
Xa bugun shanba dam olish - (lazy day) ammo serverda kutilmagan error tufayli tasklar girdobida qoldik π
p/s Maslahatim 1haftalik yangi featurelarni juma kuniga production ga deploy qilmang π₯²
p/s Maslahatim 1haftalik yangi featurelarni juma kuniga production ga deploy qilmang π₯²
π₯4π€‘2π2
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. ContainersβββDocker:
* 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 OrchestrationβββKubernetes:
* 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 π
From: Source
@saidamins_blogπ΄
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. ContainersβββDocker:
* 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 OrchestrationβββKubernetes:
* 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 π
From: Source
@saidamins_blogπ΄
LinkedIn
LinkedIn: Log In or Sign Up
1 billion members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.
π5π3π€‘2
Djangoda powerful ORM and query capabilities built-in:
βοΈ Case... When β¦
Qachon: Book degan databasedagi faqat βcategoriyasi Romance bulganlarga 20% chigirma bulsin, Historical categorysidagi kitoblarga 35% chegirma elon qilinayotganda ishlatishingiz mumkin (example)
Qanday? π
More: https://juhanajauhiainen.com/posts/advanced-django-queries
βοΈ Case... When β¦
Qachon: Book degan databasedagi faqat βcategoriyasi Romance bulganlarga 20% chigirma bulsin, Historical categorysidagi kitoblarga 35% chegirma elon qilinayotganda ishlatishingiz mumkin (example)
Qanday? π
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:π€
For gets filtered data from database quickly π
More: https://juhanajauhiainen.com/posts/advanced-django-queries
π₯3π€·ββ2π2π€‘1