Malikov | Blog | Notes

#interview Python bo'yicha middle dasturchisiga mo'ljallangan interview savollari. ⚠️ Nechta savolga javob bera oldiz? ⚫️ What is the difference between a Python module and a package? ⚫️ What is purpose of Single underscore variable on Python? ⚫️ What is the difference between static and class methods? ⚫️ Why are the full values shared between 2 objects or more objects? ⚫️ What is a MRO on python and how does it works? ⚫️ Describe the understanding about the python garbage collection. ⚫️ What should we do to help garbage collection? ⚫️ What do you understand about the global interpreter lock? ⚫️ Why use else and try catch on python? ⚫️ Why is it all memory freed when python exits? 👉 @malikovdev

EPAM kabi companylarda interview jarayonida suralish ehtimoli mavjud bo’lgan mavzular (sinior akalar tavsiyasi 😉) 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 (http://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=2113185»

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