Do you know that Python can shift sequences without slicing and creating new lists? 🤔
When you need to cyclically shift data, many use slicing:
But
A negative value rotates the queue in the other direction. ⬅️
This is useful for ring buffers, task schedulers, cyclical queues, and round-robin algorithms. 🔄
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#Python #Programming #Deque #CodingTips #Tech #DevCommunity
When you need to cyclically shift data, many use slicing:
data = data[-1:] + data[:-1]
But
deque.rotate() does this at the level of the data structure and usually works more efficiently for cyclical operations. 🚀q.rotate(1)
A negative value rotates the queue in the other direction. ⬅️
q.rotate(-2)
This is useful for ring buffers, task schedulers, cyclical queues, and round-robin algorithms. 🔄
workers.rotate(-1)
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deque.rotate() allows you to implement cyclical data structures without manual index logic and without creating new lists. 💡#Python #Programming #Deque #CodingTips #Tech #DevCommunity
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How to check for the presence of subclasses in Python? 🐍🧐
Here's how you can do it:
This function uses the
#Python #Programming #Subclasses #Coding #Dev #Tech
Here's how you can do it:
import inspect
def has_subclasses(cls):
return any(issubclass(sub, cls) for sub in inspect.getmembers(sys.modules[cls.__module__], inspect.isclass))
This function uses the
inspect module to find all subclasses of the given class. 🛠️#Python #Programming #Subclasses #Coding #Dev #Tech
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📂 Reminder about Python map()!
map() — a built-in function that applies the specified function to each element of an iterable object (list, tuple, set, etc.).
The picture shows the basic syntax, an example of use with lambda, and a typical case — data transformation without a manual for loop.
Save it to quickly remember the syntax!
🐍💻🗺️ #Python #Coding #Programming #LearnToCode #DevTips #Tech
map() — a built-in function that applies the specified function to each element of an iterable object (list, tuple, set, etc.).
The picture shows the basic syntax, an example of use with lambda, and a typical case — data transformation without a manual for loop.
Save it to quickly remember the syntax!
🐍💻🗺️ #Python #Coding #Programming #LearnToCode #DevTips #Tech
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"Introduction to Algorithms" 📘 - an outstanding university resource for everyone studying algorithms and computer science. 🎓💻
The book covers computational complexity, data structures, algorithms on graphs, dynamic programming, divide-and-conquer methods, greedy algorithms, randomized algorithms, and many mathematical foundations of modern computer science. 🧮📊🔍
What's particularly valuable here is the combination of mathematical rigor and practical algorithmic thinking. 🧠✨ This is one of those books that greatly change the approach to problem analysis, efficiency, and computing itself. 🚀🛠
An essential tool in the library of any developer and engineer working in the field of computer science. 🏗💾
https://www.cs.mcgill.ca/~akroit/math/compsci/Cormen%20Introduction%20to%20Algorithms.pdf 🔗
#Algorithms #ComputerScience #Programming #CSStudent #TechEducation #DevTools
The book covers computational complexity, data structures, algorithms on graphs, dynamic programming, divide-and-conquer methods, greedy algorithms, randomized algorithms, and many mathematical foundations of modern computer science. 🧮📊🔍
What's particularly valuable here is the combination of mathematical rigor and practical algorithmic thinking. 🧠✨ This is one of those books that greatly change the approach to problem analysis, efficiency, and computing itself. 🚀🛠
An essential tool in the library of any developer and engineer working in the field of computer science. 🏗💾
https://www.cs.mcgill.ca/~akroit/math/compsci/Cormen%20Introduction%20to%20Algorithms.pdf 🔗
#Algorithms #ComputerScience #Programming #CSStudent #TechEducation #DevTools
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