"Open Data Structures" is another very useful free resource for anyone studying data structures and algorithms. 📚✨
The book discusses the implementation and analysis of basic structures: array-based lists, linked lists, hash tables, binary trees, red-black trees, heaps, sorting algorithms, graphs, and data structures for working with integers. 🔍🧮
This is a full-fledged open textbook for studying one of the fundamental topics of computer science and a good reference that's worth keeping on hand. 💻🌟
https://opendatastructures.org/ods-python.pdf 📄
👉 @PythonRe
#DataStructures #Algorithms #Python #ComputerScience #OpenSource #Learning
The book discusses the implementation and analysis of basic structures: array-based lists, linked lists, hash tables, binary trees, red-black trees, heaps, sorting algorithms, graphs, and data structures for working with integers. 🔍🧮
This is a full-fledged open textbook for studying one of the fundamental topics of computer science and a good reference that's worth keeping on hand. 💻🌟
https://opendatastructures.org/ods-python.pdf 📄
#DataStructures #Algorithms #Python #ComputerScience #OpenSource #Learning
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Do you know that Python can shift sequences without slicing and creating new lists?
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)
🔥 deque.rotate() allows you to implement cyclical data structures without manual index logic and without creating new lists.
#Python #DataStructures #CodingTips #Programming #Deque #Tech
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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)
🔥 deque.rotate() allows you to implement cyclical data structures without manual index logic and without creating new lists.
#Python #DataStructures #CodingTips #Programming #Deque #Tech
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⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more.
✅ 13 courses live + 40+ coming soon
🎯 One access, lifetime updates
🔑 Use code: PRESALE-BOOK-WAVE-2GFG
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How to create an object from a dictionary with dot access — without classes and dataclasses?
When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
SimpleNamespace gives the same result, but with dot access:
In this case, the object remains dynamic, and you can add fields:
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
#Python #DataStructures #SimpleNamespace #CodingTips #DevTools #Programming
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When you're working with JSON, configurations, or APIs, constant access via dict['key'] clutters the code and worsens readability:
data = {"host": "localhost", "port": 5432}
data["host"]SimpleNamespace gives the same result, but with dot access:
cfg = SimpleNamespace(**data)
print(cfg.host)
In this case, the object remains dynamic, and you can add fields:
cfg.debug = True
However, the keys must be valid attribute names, and this only works for flat dictionaries (nesting is not converted).
🔥Convenient for prototyping, testing, and simple data.
#Python #DataStructures #SimpleNamespace #CodingTips #DevTools #Programming
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✅ 13 courses live + 40+ coming soon
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